Relevant bibliographies by topics / Citations, publications

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Academic literature on the topic 'Citations, publications'

Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Citations, publications"

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Memon, Aamir R., Quyen G. To, and Corneel Vandelanotte. "Vigorously Cited: A Bibliometric Analysis of the 500 Most Cited Physical Activity Articles." Journal of Physical Activity and Health 18, no. 8 (August 1, 2021): 904–19. http://dx.doi.org/10.1123/jpah.2020-0744.

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Background: To date, no citation analysis has been conducted in the physical activity field, which can contribute to assess the impact of this research field and identify knowledge gaps. Therefore, this study aimed to identify the 500 most cited physical activity publications and report their bibliometric characteristics. Methods: The Web of Science database (all database indexes) was searched, and bibliometric characteristics were imported and calculated. Results: A total of 520 publications were ranked as the top 500. The sum of the citations was 326,258, and the average citation density was 41.0 (45.1) citations per year. Original research articles constituted the major portion of included publications (53.7%; 170,774 citations). Papers reporting relationship of physical activity with health were the most prevalent type of publication included (43.7%; 141,027 citations). Journal impact factor had a weak but significant positive correlation with citation density (r = .12; P = .006). The United States was ranked first in terms of the contributions from institutions and authors contributing to the most cited physical activity papers. Conclusions: Top physical activity publications are well cited compared with other health behavior fields. Original research reporting on the associations between physical activity and health has a higher citation impact compared with other types of original research within the physical activity field. The physical activity research field continues to expand rapidly as newer publications attract more citations in a shorter time span compared with older publications.
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Rao, KLN, Ravi Prakash Kanojia, and Kirti Kumar Rathod. "Qualitative Assessment of Research done at Two Premier Medical Institutes in India: Some Data for Introspection." Journal of Postgraduate Medicine, Education and Research 46, no. 1 (2012): 24–33. http://dx.doi.org/10.5005/jp-journals-10028-1007.

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ABSTRACT Aim To perform a qualitative assessment of research publications coming from two premier medical institutes in India. Materials and methods Research publications from AIIMS and PGIMER published during 2004 to 2008 were analyzed. The publications were categorized into five types. A year-wise analysis was done for both the institutes. Data was obtained from Scopus. The collected data included the number of papers published in a category, total citations received by a type of publication in a year, number of publications which have no citations, number of publications with only one citation, h-index, number of zero and only one citation were added to get publications with negligible citations. Results A total number of 4,828 and 2,882 research publications were analyzed from AIIMS and PGIMER respectively. The original articles attracted highest no of citations that is 64 and 66% of the total citations in a year for AIIMS and PGIMER respectively. Approximately 37 to 42% of the original articles get negligible citations. The h-index for various categories of article was higher for the original articles (18/13), whereas it was very low for other category of research publications. Conclusion The original articles fetch more citations in long run. Close to 40% of the original research done in the studied institutes get negligible citations pointing toward their outcome utility and quality. More than 60% of the minor category publications remain uncited. This sort of data if periodically obtained should serve as a benchmark for quality analysis of scientific research. How to cite this article Kanojia RP, Rathod KK, Rao KLN. Qualitative Assessment of Research done at Two Premier Medical Institutes in India: Some Data for Introspection. J Postgrad Med Edu Res 2012;46(1):24-33.
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Rahimova, Nailay. "Analysis of publication activity at research institutes." Scientific and Technical Libraries, no. 11 (November 1, 2016): 44–50. http://dx.doi.org/10.33186/1027-3689-2016-11-44-50.

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Publication activity of TatNIPIneft institute for 5-year period (2011-2015), research papers citation (data of the Russian Science Citation Index), average number of citations per publication, distribution by publication types, are analyzed. The core periodicals for the Institute’s staff publications, their impact factors and the Supreme Attestation Commission’s and international analytic databases inclusion are specified. The rating of TatNIPIneft researchers by the number of publications is given.
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Kreutz, Christin Katharina, Premtim Sahitaj, and Ralf Schenkel. "Evaluating semantometrics from computer science publications." Scientometrics 125, no. 3 (March 18, 2020): 2915–54. http://dx.doi.org/10.1007/s11192-020-03409-5.

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AbstractIdentification of important works and assessment of importance of publications in vast scientific corpora are challenging yet common tasks subjected by many research projects. While the influence of citations in finding seminal papers has been analysed thoroughly, citation-based approaches come with several problems. Their impracticality when confronted with new publications which did not yet receive any citations, area-dependent citation practices and different reasons for citing are only a few drawbacks of them. Methods relying on more than citations, for example semantic features such as words or topics contained in publications of citation networks, are regarded with less vigour while providing promising preliminary results. In this work we tackle the issue of classifying publications with their respective referenced and citing papers as either seminal, survey or uninfluential by utilising semantometrics. We use distance measures over words, semantics, topics and publication years of papers in their citation network to engineer features on which we predict the class of a publication. We present the SUSdblp dataset consisting of 1980 labelled entries to provide a means of evaluating this approach. A classification accuracy of up to .9247 was achieved when combining multiple types of features using semantometrics. This is +.1232 compared to the current state of the art (SOTA) which uses binary classification to identify papers from classes seminal and survey. The utilisation of one-vector representations for the ternary classification task resulted in an accuracy of .949 which is +.1475 compared to the binary SOTA. Classification based on information available at publication time derived with semantometrics resulted in an accuracy of .8152 while an accuracy of .9323 could be achieved when using one-vector representations.
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Yaroshenko, Tetiana, and Oleksandra Yaroshenko. "Interdependencies in Citation Metrics Using Dimensions (Case Study of Two NAUKMA Journals)." Ukrainian Journal on Library and Information Science, no. 7 (June 4, 2021): 84–99. http://dx.doi.org/10.31866/2616-7654.7.2021.233303.

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Quantitative data are increasingly influencing the evaluation of the effectiveness of research and researchers. Citations may be the main metric to assess the quality and value of a publication, the number of which evaluates the academic impact. Who and how is citing Ukrainian scholarly journals? And speaking about citations, what are the main connections and trends? To study these aspects, we analyzed the citations of two “young” Ukrainian journals published by the National University of Kyiv-Mohyla Academy. The authors searched for articles published by two journals (Kyiv-Mohyla Humanities Journal and Kyiv-Mohyla Law and Politics Journal) in the citation databases Dimensions, Web of Science and Scopus. With the help of bibliometric analysis, such indicators as: citation; self-citation of the author; self-citation of the journal; citations from the author affiliated with the publisher of the journal; citations from the author who has a joint affiliation with the author of the article; Altmetric Attention Score. The purpose of the study is to distinguish the publications impact in various fields of knowledge in Open Access journals for researchers around the world, the growing number of citations for English-language publications, the importance of international publishing standards, correlations for self-citation, etc. An important aim is also to summarize the importance of journal indexing in different databases. The study showed that the number of journal citations is primarily influenced by the thematic relevance of published materials. Including, the subject of the article (volume, issue) has a strong correlation with the dynamics and geography of the citations. The number of self-citations of authors, self-citations of the journal, as well as citations from the joint affiliation with the author and publisher was insignificant. No significant impact on the number of citations was also found in the date of publication and its distribution on the Internet (Altmetric). Journal indexing in abstract, full-text databases and citation databases also affects their visibility and audience.
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Stevens, Robert B., John R. Hatzenbuehler, William W. Dexter, Amy E. Haskins, and Christina T. Holt. "Unverifiable Academic Work by Applicants to Primary Care Sports Medicine Fellowship Programs in the United States." Journal of Graduate Medical Education 8, no. 5 (December 1, 2016): 767–70. http://dx.doi.org/10.4300/jgme-d-16-00059.1.

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ABSTRACT Background In 2008, it was shown that 11% of applications to a primary care sports medicine program contained unverifiable citations for publications. In 2009, the American Medical Society for Sports Medicine changed the application requirements, requiring proof that all claimed citations (publications and presentations) be included with the fellowship application. Objective We determined the rate of unverifiable academic citations in applications to primary care sports medicine fellowship programs after proof of citations was required. Methods We retrospectively examined all applications submitted to 5 primary care sports medicine fellowship programs across the country for 3 academic years (2010–2013), out of 108 to 131 programs per year. For claimed citations that did not include proof of publication or presentation, we attempted to verify them using PubMed and Google Scholar searches, a medical librarian search, and finally directly contacting the publisher or sponsoring conference organization for verification. Results Fifteen of 311 applications contained at least 1 unverifiable citation. The total unverifiable rate was 4.8% (15 of 311) for publications and 11% (9 of 85) for presentations. These rates were lower than previously published within the same medical subspecialty. Conclusions After requiring proof of publication and presentation citations within applications to primary care sports medicine fellowship programs, unverifiable citations persisted but were less than previously reported.
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Borgoyakova, Kristina. "Using The Map of Russian Science system for analyzing publication activity of university faculty members (the case study of Moscow State Institute of Culture)." Scientific and Technical Libraries, no. 11 (November 1, 2016): 37–43. http://dx.doi.org/10.33186/1027-3689-2016-11-37-43.

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Two versions of the analytical method for publication activity of faculty members are examined, namely: the computer-aided analysis and that using The Map of Russian Science information analytic system. The performance of Moscow State Institute of Culture departments is compared, and the leaders are specified by several indicators: number of publications in Russian Science Citation Index, number of citations excluding self citation, maximum citations per publication. The author concludes that publication activity analysis should result in an action plan aimed to improve research and scientific studies at universities.
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Lwoga, Edda Tandi, Raphael Zozimus Sangeda, and Alfred Said Sife. "ONLINE VISIBILITY OF PHARMACY RESEARCH IN TANZANIA: A SCIENTOMETRIC STUDY." International Journal of Pharmacy and Pharmaceutical Sciences 9, no. 9 (July 13, 2017): 72. http://dx.doi.org/10.22159/ijpps.2017v9i9.19371.

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Objective: This scientometric analysis was carried out to map the online visibility of pharmacy research at Muhimbili University of Health and Allied Sciences (MUHAS) from 1981 to 2016.Methods: Publish or Perish software was used to collect data for 33 scientists from the School of Pharmacy at MUHAS. We retrieved data on scholars’ publications, citation counts, the number of authors per publication, average citations per paper, average citations per year, h-index, g-index, contemporary H-index (Hc index) and the HI-norm index.Results: A total of 499 publications were recorded for all scholars and the most (61; 12.2%) productive was 2013. The whole study period recorded the mean relative growth rate (RGR) and doubling time (Dt) of 1.62 and 0.46 respectively. A great majority (484; 97%) of the publications were multiple-authored with nearly one third (157; 31.5%) of these being jointly contributed by six or more authors. The maximum number of citations received in a single publication was 241. The degree of collaboration among scientists was as high as 0.97. The top ranked pharmacy researchers showed variation in various metrics.Conclusion: The study findings indicate a continuous growth of pharmacy publications at MUHAS since 1981. There is a high level of collaboration among scholars and many publications have made a great impact through citations.
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Nascimento, Henrique, Clara Martinez-Perez, Cristina Alvarez-Peregrina, and Miguel Ángel Sánchez-Tena. "Citations Network Analysis of Vision and Sport." International Journal of Environmental Research and Public Health 17, no. 20 (October 18, 2020): 7574. http://dx.doi.org/10.3390/ijerph17207574.

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Background: Sports vision is a relatively new specialty, which has attracted particular interest in recent years from trainers and athletes, who are looking at ways of improving their visual skills to attain better performance on the field of play. The objective of this study was to use citation networks to analyze the relationships between the different publications and authors, as well as to identify the different areas of research and determine the most cited publication. Methods: The search for publications was carried out in the Web of Science database, using the terms “sport”, “vision”, and “eye” for the period between 1911 and August 2020. The publication analysis was performed using the Citation Network Explorer and CiteSpace software. Results: In total, 635 publications and 801 citations were found across the network, with 2019 being the year with the highest number of publications. The most cited publication was published in 2002 by Williams et al. By using the clustering functionality, four groups covering the different research areas in this field were found: ocular lesion, visual training methods and efficiency, visual fixation training, and concussions. Conclusions: The citation network offers an objective and comprehensive analysis of the main papers on sports vision.
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Franceschet, Massimo, and Giovanni Colavizza. "Quantifying the higher-order influence of scientific publications." Scientometrics 125, no. 2 (July 13, 2020): 951–63. http://dx.doi.org/10.1007/s11192-020-03580-9.

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AbstractCitation impact is commonly assessed using direct, first-order citation relations. We consider here instead the indirect influence of publications on new publications via citations. We present a novel method to quantify the higher-order citation influence of publications, considering both direct, or first-order, and indirect, or higher-order citations. In particular, we are interested in higher-order citation influence at the level of disciplines. We apply this method to the whole Web of Science data at the level of disciplines. We find that a significant amount of influence—42%—stems from higher-order citations. Furthermore, we show that higher-order citation influence is helpful to quantify and visualize citation flows among disciplines, and to assess their degree of interdisciplinarity.
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Dissertations / Theses on the topic "Citations, publications"

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Murray, Jonathan. "Finding Implicit Citations in Scientific Publications : Improvements to Citation Context Detection Methods." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173913.

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This thesis deals with the task of identifying implicit citations between scientific publications. Apart from being useful knowledge on their own, the citations may be used as input to other problems such as determining an author’s sentiment towards a reference, or summarizing a paper based on what others have written about it. We extend two recently proposed methods, a Machine Learning classifier and an iterative Belief Propagation algorithm. Both are implemented and evaluated on a common pre-annotated dataset. Several changes to the algorithms are then presented, incorporating new sentence features, different semantic text similarity measures as well as combining the methods into a single classifier. Our main finding is that the introduction of new sentence features yield significantly improved F-scores for both approaches.
Detta examensarbete behandlar frågan om att hitta implicita citeringar mellan vetenskapliga publikationer. Förutom att vara intressanta på egen hand kan dessa citeringar användas inom andra problem, såsom att bedöma en författares inställning till en referens eller att sammanfatta en rapport utifrån hur den har blivit citerad av andra. Vi utgår från två nyliga metoder, en maskininlärningsbaserad klassificerare och en iterativ algoritm baserad på en grafmodell. Dessa implementeras och utvärderas på en gemensam förannoterad datamängd. Ett antal förändringar till algoritmerna presenteras i form av nya särdrag hos meningarna (eng. sentence features), olika semantiska textlikhetsmått och ett sätt att kombinera de två metoderna. Arbetets huvudsakliga resultat är att de nya meningssärdragen leder till anmärkningsvärt förbättrade F-värden för de båda metoderna.
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Dervos, Dimitris A., and Thomas Kalkanis. "cc-IFF: A Cascading Citations Impact Factor Framework for the Automatic Ranking of Research Publications." IEEE, 2005. http://hdl.handle.net/10150/105672.

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The present item comprises an amended (post-print) version of: D.A. Dervos and T. Kalkanis, cc-IFF: A Cascading Citations Impact Factor Framework for the Automatic Ranking of Research Publications, Third IEEE International Workshop on Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Proceedings pp. 668-673, Sofia, Bulgaria, September 5-7, 2005
A new framework is proposed for the calculation of impact factor ratings of research publications. Given a collection of research articles, the corresponding citations graph is constructed in the form of a relational table. The impact value is considered at the article level, and is calculated by considering not only the citations made directly to an article, but also citations made to the corresponding citing article(s). In this respect, an improved algorithm is utilized, namely one that traverses all the threads in the citations graph, in an attempt to improve the degree of fairness in assigning credit for the impact value of each one article. When two articles have an equal number of (direct) citations, the one that has triggered more research activity (i.e. its citing articles attract a larger number of citations at subsequent levels in the citations graph) is assigned a higher impact value and, consequently, is ranked to be better.
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Bosquet, Clément. "Commerce international et économie de la science : distances, agglomération, effets de pairs et discrimination." Thesis, Aix-Marseille, 2012. http://www.theses.fr/2012AIXM1097/document.

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Cette thèse rassemble principalement des contributions en économie de la science à laquelle les deux premières parties sont consacrées. La première teste l'importance des choix méthodologiques dans la mesure de la production scientifique et étudie les canaux de diffusion de la connaissance. La deuxième s'intéresse aux déterminants individuels et locaux de la productivité des chercheurs et au différentiel de promotion entre hommes et femmes sur le marché du travail académique. Sont établis les résultats suivants : les choix méthodologiques dans la mesure de la production scientifique n'affectent que très peu les classements des institutions de recherche. Les citations et les poids associés à la qualité des journaux mesurent globalement la même productivité de la recherche. La localisation des chercheurs a un impact sur leur productivité dans la mesure où certaines universités génèrent davantage d'externalités que d'autres. Ces externalités sont plus importantes là où les chercheurs sont homogènes en terme de performances, où la diversité thématique est grande, et dans une moindre mesure dans les grands centres de recherche, lorsqu'il y a plus de femmes, de chercheurs âgés, de stars et là où les chercheurs sont connectés à des co-auteurs à l'étranger. Si les femmes sont moins souvent Professeur des Universités (par opposition à Maître de Conférences) que les hommes, ce n'est ni parce qu'elles sont discriminées dans le processus de promotion, ni que le coût de promotion (mobilité) est plus important pour elles, ni qu'elles ont des préférences différentes concernant le salaire et le prestige des institutions dans lesquelles elles travaillent
The core of this thesis lies in the field of economics of science to which the two first parts are devoted. The first part questions the impact of methodological choices in the measurement of research productivity and studies the channels of knowledge diffusion. The second part studies the impact on individual publication records of both individual and departments' characteristics and analyse the gender gap in occupations on the academic labour market. The main results are the following: methodological choices in the measurement of research productivity do not impact the estimated hierarchy of research institutions. Citations and journal quality weights measure the same dimension of publication productivity. Location matters in the academic research activity: some departments generate more externalities than others. Externalities are higher where academics are homogeneous in terms of publication performance and have diverse research fields, and, to a lower extent, if the department is large, with more women, older academics, stars and co-authors connection to foreign departments. If women are less likely to be full Professor (with respect to Assistant Professor) than men, this is neither because they are discriminated against in the promotion process, neither because the promotion cost (mobility) is higher for them, nor because they have different preferences for salaries versus department prestige. A possible, but not tested, explanation is that women self-select themselves by participating less in or exerting lower effort during the promotion process
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Dunaiski, Marcel Paul. "Analysing ranking algorithms and publication trends on scholarly citation networks." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/96106.

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Thesis (MSc)--Stellenbosch University, 2014.
ENGLISH ABSTRACT: Citation analysis is an important tool in the academic community. It can aid universities, funding bodies, and individual researchers to evaluate scientific work and direct resources appropriately. With the rapid growth of the scientific enterprise and the increase of online libraries that include citation analysis tools, the need for a systematic evaluation of these tools becomes more important. The research presented in this study deals with scientific research output, i.e., articles and citations, and how they can be used in bibliometrics to measure academic success. More specifically, this research analyses algorithms that rank academic entities such as articles, authors and journals to address the question of how well these algorithms can identify important and high-impact entities. A consistent mathematical formulation is developed on the basis of a categorisation of bibliometric measures such as the h-index, the Impact Factor for journals, and ranking algorithms based on Google’s PageRank. Furthermore, the theoretical properties of each algorithm are laid out. The ranking algorithms and bibliometric methods are computed on the Microsoft Academic Search citation database which contains 40 million papers and over 260 million citations that span across multiple academic disciplines. We evaluate the ranking algorithms by using a large test data set of papers and authors that won renowned prizes at numerous Computer Science conferences. The results show that using citation counts is, in general, the best ranking metric. However, for certain tasks, such as ranking important papers or identifying high-impact authors, algorithms based on PageRank perform better. As a secondary outcome of this research, publication trends across academic disciplines are analysed to show changes in publication behaviour over time and differences in publication patterns between disciplines.
AFRIKAANSE OPSOMMING: Sitasiesanalise is ’n belangrike instrument in die akademiese omgewing. Dit kan universiteite, befondsingsliggams en individuele navorsers help om wetenskaplike werk te evalueer en hulpbronne toepaslik toe te ken. Met die vinnige groei van wetenskaplike uitsette en die toename in aanlynbiblioteke wat sitasieanalise insluit, word die behoefte aan ’n sistematiese evaluering van hierdie gereedskap al hoe belangriker. Die navorsing in hierdie studie handel oor die uitsette van wetenskaplike navorsing, dit wil sê, artikels en sitasies, en hoe hulle gebruik kan word in bibliometriese studies om akademiese sukses te meet. Om meer spesifiek te wees, hierdie navorsing analiseer algoritmes wat akademiese entiteite soos artikels, outeers en journale gradeer. Dit wys hoe doeltreffend hierdie algoritmes belangrike en hoë-impak entiteite kan identifiseer. ’n Breedvoerige wiskundige formulering word ontwikkel uit ’n versameling van bibliometriese metodes soos byvoorbeeld die h-indeks, die Impak Faktor vir journaale en die rang-algoritmes gebaseer op Google se PageRank. Verder word die teoretiese eienskappe van elke algoritme uitgelê. Die rang-algoritmes en bibliometriese metodes gebruik die sitasiedatabasis van Microsoft Academic Search vir berekeninge. Dit bevat 40 miljoen artikels en meer as 260 miljoen sitasies, wat oor verskeie akademiese dissiplines strek. Ons gebruik ’n groot stel toetsdata van dokumente en outeers wat bekende pryse op talle rekenaarwetenskaplike konferensies gewen het om die rang-algoritmes te evalueer. Die resultate toon dat die gebruik van sitasietellings, in die algemeen, die beste rangmetode is. Vir sekere take, soos die gradeering van belangrike artikels, of die identifisering van hoë-impak outeers, presteer algoritmes wat op PageRank gebaseer is egter beter. ’n Sekondêre resultaat van hierdie navorsing is die ontleding van publikasie tendense in verskeie akademiese dissiplines om sodoende veranderinge in publikasie gedrag oor tyd aan te toon en ook die verskille in publikasie patrone uit verskillende dissiplines uit te wys.
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Runelöv, Martin. "Finding seminal scientific publications with graph mining." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172382.

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We investigate the applicability of network analysis to the problem of finding seminal publications in scientific publishing. In particular, we focus on the network measures betweenness centrality, the so-called backbone graph, and the burstiness of citations. The metrics are evaluated using precision-related scores with respect to gold standards based on fellow programmes and manual annotation. Citation counts, PageRank, and random selection are used as baselines. We find that the backbone graph provides us with a way to possibly discover seminal publications with low citation count, and combining betweenness and burstiness gives results on par with citation count.
I detta examensarbete undersöks det huruvida analys av citeringsgrafer kan användas för att finna betydelsefulla vetenskapliga publikationer. Framför allt studeras ”betweenness”-centralitet, den så kallade ”backbone”-grafen samt ”burstiness” av citeringar. Dessa mått utvärderas med hjälp av precisionsmått med avseende på guldstandarder baserade på ’fellow’-program samt via manuell annotering. Antal citeringar, PageRank, och slumpmässigt urval används som jämförelse. Resultaten visar att ”backbone”-grafen kan bidra till att eventuellt upptäcka betydelsefulla publikationer med ett lågt antal citeringar samt att en kombination av ”betweenness” och ”burstiness” ger resultat i nivå med de man får av att räkna antal citeringar.
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Spring, Kristian Joy. "Patterns in Impact, Publication and Themes in International Blended Learning." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/6033.

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This research has found that the field of international blended learning (BL) is prepared for stronger communication and collaboration. Collaboration is currently limited, and regions vary greatly in terms of citations. However, BL is growing worldwide and each region has much to offer to the community. Greater collaboration among researchers and practitioners can be profitable regardless of location. In the first article the authors compared the top cited BL articles to understand which articles from each region are the most cited, how the regions compare in terms of citations and which journals publish these highly cited articles. The authors used this data to construct a broad overview of the field as a whole and submit is as partial fulfillment of the literature review requirement. This research was designed by both authors and carried out by the first author with advice from the second author. In the second article the authors delved deeper into the top articles to discover and compare the topics and themes of the top articles on BL from different regions of the world. The authors examined methodological patterns, learner type, level of blend, terms for blending, and research questions in order to understand the research practices and topics of interest within the BL community. This article is also submitted as partial fulfillment of the literature review requirement for a master's degree in Instructional Psychology and Technology. This research was designed by both authors and carried out by the first author with advice from the second author.In the third article the authors sought to take a snapshot of the present state of blended learning. The authors drew conclusions from survey responses and interviews with current blended learning researchers and practitioners focused on BL around the world. This research was designed by both authors and carried out by the first author with advice from the second author and assistance from the third author. The first author conducted all interviews and made final decisions on coding and analysis, with input from the other authors.
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Alfraidi, Hanadi Humoud A. "Interactive System for Scientific Publication Visualization and Similarity Measurement based on Citation Network." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/33135.

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Online scientific publications are becoming more and more popular. The number of publications we can access almost instantaneously is rapidly increasing. This makes it more challenging for researchers to pursue a topic, review literature, track research history or follow research trends. Using online resources such as search engines and digital libraries is helpful to find scientific publications, however most of the time the user ends up with an overwhelming amount of linear results to go through. This thesis proposes an alternative system, which takes advantage of citation/reference relations between publications. This demonstrates better insight of the hierarchy distribution of publications around a given topic. We also utilize information visualization techniques to represent the publications as a network. Our system is designed to automatically retrieve publications from Google Scholar and visualize them as a 2-dimensional graph representation using the citation relations. In this, the nodes represent the documents while the links represent the citation/reference relations between them. Our visualization system provides a better view of publications, making it easier to identify the research flow, connect publications, and assess similarities/differences between them. It is an interactive web based system, which allows the users to get more information about any selected publication and calculate a similarity score between two selected publications. Traditionally, similar documents are found using Natural Language Processing (NLP), which compares documents based on matching their contents. In the proposed method, similar documents are found using the citation/reference relations which are iii represented by the relationship that was originally inputted by the authors. We propose a new path based metric for measuring the similarity scores between any pair of publications. This is based on both the number of paths and the length of each path. More paths and shorter lengths increase the similarity score. We compare our similarity score results with another similarity score from Scurtu’s Document Similarity [1] that uses the NLP method. We then use the average of the similarity scores collected from 15 users as a ground truth to validate the efficiency of our method. The results indicate that our Citation Network approach yielded better scores than Scurtu’s approach.
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Gipp, Béla [Verfasser], and Andreas [Akademischer Betreuer] Nürnberger. "Citation-based Plagiarism Detection : applying citation pattern analysis to identify currently non-machine-detectible disguised plagiarism in scientific publications / Béla Gipp. Betreuer: Andreas Nürnberger." Magdeburg : Universitätsbibliothek, 2013. http://d-nb.info/105463890X/34.

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Gipp, Béla Verfasser], and Andreas [Akademischer Betreuer] [Nürnberger. "Citation-based Plagiarism Detection : applying citation pattern analysis to identify currently non-machine-detectible disguised plagiarism in scientific publications / Béla Gipp. Betreuer: Andreas Nürnberger." Magdeburg : Universitätsbibliothek, 2013. http://nbn-resolving.de/urn:nbn:de:gbv:ma9:1-4798.

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Copenheaver, Carolyn A., Kyrille Goldbeck, and Paolo Cherubini. "Lack Of Gender Bias In Citation Rates Of Publications By Dendrochronologists: What is Unique About This Discipline?" Tree-Ring Society, 2010. http://hdl.handle.net/10150/622619.

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Most academic disciplines have a gender bias that exists in the recognition of research publications: women’s publications are cited at lower rates than men’s publications. In this paper, we examined whether a similar gender bias existed for publications by dendrochronologists. Tree-ring research is a fairly small field where males outnumber females, and therefore the sample size was limited to 20 female dendrochronologists and 20 male dendrochronologists. It was determined that native language (English or non-native English speaker), current employment (government or academic), and gender of the first-author do not significantly influence a paper’s probability of being cited. However, years since dissertation completion was a good predictor of a paper’s citation rate. We suggest that the high productivity of female dendrochronologists and a pattern of co-authoring with male colleagues bring the work of females to the attention of their male colleagues and thus eliminate the gender bias in citation of women’s work common to other disciplines.
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Books on the topic "Citations, publications"

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Lécuru, Denis. Citations d'auteurs et de publications dans l'ensemble de l'œuvre écrite. Paris, France: E.P.E.L., 1994.

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L, Garner Diane, and Smith Diane H, eds. The complete guide to citing government information resources: A manual for social science & business research. 3rd ed. Bethesda, MD: LexisNexis, 2002.

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National Information Standards Organization (U.S.). Serial item and contribution identifier (SICI): An American national standard. Bethesda, Md: NISO Press, 1997.

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), National Information Standards Organization (U S. Serial item and contribution identifier (SICI). Bethesda, Md: NISO Press, 1996.

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National Information Standards Organization (U.S.). Serial item and contribution identifier (SICI). Bethesda, Md., U.S.A: NISO Press, 1995.

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Garner, Diane L. The complete guide to citing government information resources: A manual for writers & librarians. Bethesda, MD: Congressional Information Service, 1993.

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Crosby, Marshall R. Index of mosses: A catalog of the names and citations for new taxa, combinations, and names for mosses published during the years 1963 through 1989 with citations of previously published basionyms and replaced names together with lists of the names of authors of the names and lists of names of publications used in the citations. St. Louis: Missouri Botanical Garden, 1992.

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E, Magill Robert, ed. Index of mosses: A catalog of the names and citations for new taxa, combinations, and names for mosses published during the years 1990 through 1992 with citations of previously published basionyms and replaced names together with a bibliography of the publications in which these nova appeared. St. Louis: Missouri Botanical Garden, 1994.

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Crosby, Marshall R. Index of mosses: A catalog of the names and citations for new taxa, combinations, and names for mosses published during the years 1996 through 1998, inclusive, with citations of previously published basionyms and replaced names together with a bibliography of the publications in which these nova appeared. St. Louis: Missouri Botanical Garden, 2000.

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Crosby, Marshall R. Index of mosses: A catalog of the names and citations for new taxa, combinations, and names for mosses published during the years 1999 through 2001, inclusive, with citations of previously published basionyms and replaced names together with a bibliography of the publications in which these nova appeared. St. Louis, Mo: Missouri Botanical Garden, 2004.

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Book chapters on the topic "Citations, publications"

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Hassan, Saeed-Ul, Sehrish Iqbal, Mubashir Imran, Naif Radi Aljohani, and Raheel Nawaz. "Mining the Context of Citations in Scientific Publications." In Lecture Notes in Computer Science, 316–22. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04257-8_32.

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Milz, Tobias, and Christin Seifert. "Analysing Author Self-citations in Computer Science Publications." In Communications in Computer and Information Science, 289–300. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99133-7_24.

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Jugaku, Jun. "The Publications and Citations of Giusa and Roger Cayrel." In Galaxy Evolution: Connecting the Distant Universe with the Local Fossil Record, 3–6. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4213-7_1.

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Fejes, Andreas, and Erik Nylander. "The Politics of Publications and Citations: A Cross Country Comparison." In Mapping out the Research Field of Adult Education and Learning, 99–115. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10946-2_6.

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Marshall, Guy Clarke, Caroline Jay, and André Freitas. "Number and Quality of Diagrams in Scholarly Publications is Associated with Number of Citations." In Diagrammatic Representation and Inference, 512–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86062-2_52.

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Mitrović, Sandra, and Henning Müller. "Summarizing Citation Contexts of Scientific Publications." In Lecture Notes in Computer Science, 154–65. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24027-5_13.

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Huang, I.-Ane, Jan-Ming Ho, Hung-Yu Kao, and Wen-Chang Lin. "Extracting Citation Metadata from Online Publication Lists Using BLAST." In Advances in Knowledge Discovery and Data Mining, 539–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24775-3_64.

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Kozen, Dexter, and Ganesh Ramanarayanan. "Publication/Citation: A Proof-Theoretic Approach to Mathematical Knowledge Management*." In Games, Norms and Reasons, 151–61. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0714-6_9.

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Korwitz, Ulrich. "Citation Analysis of Biomedical Publications: A Customer Oriented Service in Medical Libraries." In Libraries without Limits: Changing Needs — Changing Roles, 107–10. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4621-0_24.

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Blümel, Clemens. "What Synthetic Biology Aims At: Review Articles as Sites for Constructing and Narrating an Emerging Field." In Sociology of the Sciences Yearbook, 65–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61728-8_3.

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AbstractThe analysis of scientific communities and collectives are central to STS and sociological studies of science. However, the current emergence of techno-scientific communities, such as synthetic biology, raises the question as to whether novel identities, but also novel ways of community building have developed. In this respect, the emergence of a new publication regime, the ubiquity of citations as a means of governing attention and visibility, and the establishment of multidisciplinary audiences might have changed the ways of scholarly field formation. In this article I propose that formats of scholarly writing have acquired new functions in this process, changing modes of presenting and legitimating novel scientific communities. Hence, I put forward the idea that the evolution of a specific publication format which I term here as `techno-scientific review article’ and the ways of narrating communities are closely intertwined. To elaborate my argument, I draw on linguistic genre analysis of science. I found that review papers in synthetic biology are important for the field: Equipped with specific textual qualities they become central sites for articulating past and the futures of the field.
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Conference papers on the topic "Citations, publications"

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Eremenko, Tatiana. "Citation locality as a scientometric indicator for regional researchers: On target setting." In The Book. Culture. Education. Innovations. Russian National Public Library for Science and Technology, 2020. http://dx.doi.org/10.33186/978-5-85638-223-4-2020-94-96.

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Introduction of the scientometric indicator for citation quality evaluation is substantiated. The author suggests introducing the term “Citation locality coefficient”. To define permissible level of citation locality, two criteria are introduced: (1) for regional researchers, the number of citations in the local scientific journals and (2) for regional researchers, the number of citations in publications affiliated with the regional organizations. The calculation logics based on Herfindahl index and permissible self-citation ratio is substantiated.
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Hakimova, Aida, and Michael Charnine. "Approaches to assessing the semantic similarity and future citation of publications by identifying informative terms with predictive properties." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce27739c83a3.40221725.

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The article discusses new approaches to assessing the semantic similarity of documents in a vector space, taking into account statistically significant and informative terms. Informative terms reflect the current state of research in a certain field of research. To select informative terms, an algorithm for calculating the impact factor of the term is proposed. It is shown that informative terms allow both to evaluate the semantic similarity of texts and to predict future citations. The developed methods for assessing the semantic similarity and future impact of scientific publications can be used in the framework of “Predictive optimization”, a modern technology that allows us to make decisions based on forecasts. In evaluating the activities of research and individual scientists, bibliometric indicators often play an important role. However, the use of citation-based indicators is problematic in determining the impact of recent publications. Usually, two years after the publication of most articles, they receive only a few links. The probability of future citation can be predicted using the proposed indicator - IFT.
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Portenoy, Jason, and Jevin D. West. "Visualizing Scholarly Publications and Citations to Enhance Author Profiles." In the 26th International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3041021.3053058.

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Guilarte, Orlando Fonseca, Simone Diniz Junqueira Barbosa, and Sinesio Pesco. "A Collaborative Support for Recommending References in Papers." In XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8300.

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Understanding citations to scientific publications is a task of vital importance in the academic world. This task can be supported by appropriate data structures and visualization mechanisms. One challenge is the amount of existing relationships and the difficulty of determining which of the references of a document are considered the most potentially relevant to it. In this paper, we propose a visual approach based on graphs to recommend important references. Also, we propose a procedure to build and update the citation graph in a collaborative way.
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Arenzon, Jeferson J., Patrícia Duarte, Solange Cavalcanti, and Marcia C. Barbosa. "Women and physics in Brazil: Publications, citations and H index." In WOMEN IN PHYSICS: 4th IUPAP International Conference on Women in Physics. AIP, 2013. http://dx.doi.org/10.1063/1.4794228.

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Nishioka, Chifumi, and Michael Färber. "Trends of Publications' Citations and Altmetrics Based on Open Access Types." In JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3383583.3398584.

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Lauscher, Anne, Goran Glavaš, Simone Paolo Ponzetto, and Kai Eckert. "Investigating Convolutional Networks and Domain-Specific Embeddings for Semantic Classification of Citations." In WOSP 2017: 6th International Workshop on Mining Scientific Publications. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3127526.3127531.

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Revesz, Peter Z. "A method for predicting citations to the scientific publications of individual researchers." In the 18th International Database Engineering & Applications Symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2628194.2628210.

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Soares, Rafael Henrique Santos, Jorge H. C. Fernandes, and Ricardo Sampaio. "Formal Information Flows Among Top Authorities of the Brazilian Federal Government based on Co-word Analysis of Data Published in the Official Gazette." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6450.

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This paper describes a methodology for modeling social networks of formal communications among top authorities of the Brazilian Federal Government grounded on data available in the government official gazette (Diário Oficial da União). The text of a large number of official publications such as presidential decrees, ministerial orders and authority nominations was analyzed for identification of citations to organizations and persons. The co-occurrence of names of persons in such publications created a network of relations among such persons. An ego-network was built around the president Dilma Rousseff. Metrics of social network analysis were collected and analyzed in an exploratory fashion.
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Dervos, Dimitris, and Thomas Kalkanis. "cc-IFF: A Cascading Citations Impact Factor Framework for the Automatic Ranking of Research Publications." In 2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IEEE, 2005. http://dx.doi.org/10.1109/idaacs.2005.283070.

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Reports on the topic "Citations, publications"

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Rodriguez, Simon, Tim Hwang, and Rebecca Gelles. Comparing Corporate and University Publication Activity in AI/ML. Center for Security and Emerging Technology, January 2021. http://dx.doi.org/10.51593/20200067.

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Based on news coverage alone, it can seem as if corporations dominate the research on artificial intelligence and machine learning when compared to the work of universities and academia. Authors Simon Rodriguez, Tim Hwang and Rebecca Gelles analyze the data over the past decade of research publications and find that, in fact, universities are the more dominant producers of AI papers. They also find that while corporations do tend to generate more citations to the work they publish in the field, these “high performing” papers are most frequently cross-collaborations with university labs
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Gidengil, Courtney, Matthew Bidwell Goetz, Margaret Maglione, Sydne J. Newberry, Peggy Chen, Kelsey O’Hollaren, Nabeel Qureshi, et al. Safety of Vaccines Used for Routine Immunization in the United States: An Update. Agency for Healthcare Research and Quality (AHRQ), May 2021. http://dx.doi.org/10.23970/ahrqepccer244.

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Objective. To conduct a systematic review of the literature on the safety of vaccines recommended for routine immunization in the United States, updating the 2014 Agency for Healthcare Research and Quality (AHRQ) report on the topic. Data sources. We searched MEDLINE®, Embase®, CINAHL®, Cochrane CENTRAL, Web of Science, and Scopus through November 9, 2020, building on the prior 2014 report; reviewed existing reviews, trial registries, and supplemental material submitted to AHRQ; and consulted with experts. Review methods. This report addressed three Key Questions (KQs) on the safety of vaccines currently in use in the United States and included in the Centers for Disease Control and Prevention’s (CDC) recommended immunization schedules for adults (KQ1), children and adolescents (KQ2), and pregnant women (KQ3). The systematic review was supported by a Technical Expert Panel that identified key adverse events of particular concern. Two reviewers independently screened publications; data were extracted by an experienced subject matter expert. Studies of vaccines that used a comparator and reported the presence or absence of adverse events were eligible. We documented observed rates and assessed the relative risks for key adverse events. We assessed the strength of evidence (SoE) across the existing findings from the prior 2014 report and the new evidence from this update. The systematic review is registered in PROSPERO (CRD42020180089). Results. A large body of evidence is available to evaluate adverse events following vaccination. Of 56,608 reviewed citations, 189 studies met inclusion criteria for this update, adding to data in the prior 2014 report, for a total of 338 included studies reported in 518 publications. Regarding vaccines recommended for adults (KQ1), we found either no new evidence of increased risk for key adverse events with varied SoE or insufficient evidence in this update, including for newer vaccines such as recombinant influenza vaccine, adjuvanted inactivated influenza vaccine, and recombinant adjuvanted zoster vaccine. The prior 2014 report noted a signal for anaphylaxis for hepatitis B vaccines in adults with yeast allergy and for tetanus, diphtheria, and acellular pertussis vaccines. Regarding vaccines recommended for children and adolescents (KQ2), we found either no new evidence of increased risk for key adverse events with varied SoE or insufficient evidence, including for newer vaccines such as 9-valent human papillomavirus vaccine and meningococcal B vaccine. The prior 2014 report noted signals for rare adverse events—such as anaphylaxis, idiopathic thrombocytopenic purpura, and febrile seizures—with some childhood vaccines. Regarding vaccines recommended for pregnant women (KQ3), we found no evidence of increased risk for key adverse events with varied SoE among either pregnant women or their infants following administration of tetanus, diphtheria, and acellular pertussis vaccines during pregnancy. Conclusion. Across this large body of research, we found no new evidence of increased risk since the prior 2014 report for key adverse events following administration of vaccines that are routinely recommended. Signals from the prior report remain unchanged for rare adverse events, which include anaphylaxis in adults and children, and febrile seizures and idiopathic thrombocytopenic purpura in children. There is no evidence of increased risk of adverse events for vaccines currently recommended in pregnant women. There remains insufficient evidence to draw conclusions about some rare potential adverse events.
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Garsa, Adam, Julie K. Jang, Sangita Baxi, Christine Chen, Olamigoke Akinniranye, Owen Hall, Jody Larkin, Aneesa Motala, Sydne Newberry, and Susanne Hempel. Radiation Therapy for Brain Metasases. Agency for Healthcare Research and Quality (AHRQ), June 2021. http://dx.doi.org/10.23970/ahrqepccer242.

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Objective. This evidence report synthesizes the available evidence on radiation therapy for brain metastases. Data sources. We searched PubMed®, Embase®, Web of Science, Scopus, CINAHL®, clinicaltrials.gov, and published guidelines in July 2020; assessed independently submitted data; consulted with experts; and contacted authors. Review methods. The protocol was informed by Key Informants. The systematic review was supported by a Technical Expert Panel and is registered in PROSPERO (CRD42020168260). Two reviewers independently screened citations; data were abstracted by one reviewer and checked by an experienced reviewer. We included randomized controlled trials (RCTs) and large observational studies (for safety assessments), evaluating whole brain radiation therapy (WBRT) and stereotactic radiosurgery (SRS) alone or in combination, as initial or postoperative treatment, with or without systemic therapy for adults with brain metastases due to non-small cell lung cancer, breast cancer, or melanoma. Results. In total, 97 studies, reported in 190 publications, were identified, but the number of analyses was limited due to different intervention and comparator combinations as well as insufficient reporting of outcome data. Risk of bias varied; 25 trials were terminated early, predominantly due to poor accrual. Most studies evaluated WBRT, alone or in combination with SRS, as initial treatment; 10 RCTs reported on post-surgical interventions. The combination treatment SRS plus WBRT compared to SRS alone or WBRT alone showed no statistically significant difference in overall survival (hazard ratio [HR], 1.09; confidence interval [CI], 0.69 to 1.73; 4 RCTs; low strength of evidence [SoE]) or death due to brain metastases (relative risk [RR], 0.93; CI, 0.48 to 1.81; 3 RCTs; low SoE). Radiation therapy after surgery did not improve overall survival compared with surgery alone (HR, 0.98; CI, 0.76 to 1.26; 5 RCTs; moderate SoE). Data for quality of life, functional status, and cognitive effects were insufficient to determine effects of WBRT, SRS, or post-surgical interventions. We did not find systematic differences across interventions in serious adverse events radiation necrosis, fatigue, or seizures (all low or moderate SoE). WBRT plus systemic therapy (RR, 1.44; CI, 1.03 to 2.00; 14 studies; moderate SoE) was associated with increased risks for vomiting compared to WBRT alone. Conclusion. Despite the substantial research literature on radiation therapy, comparative effectiveness information is limited. There is a need for more data on patient-relevant outcomes such as quality of life, functional status, and cognitive effects.
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Hilbrecht, Margo, David Baxter, Alexander V. Graham, and Maha Sohail. Research Expertise and the Framework of Harms: Social Network Analysis, Phase One. GREO, December 2020. http://dx.doi.org/10.33684/2020.006.

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In 2019, the Gambling Commission announced a National Strategy to Reduce Gambling Harms. Underlying the strategy is the Framework of Harms, outlined in Measuring gambling-related harms: A framework for action. "The Framework" adopts a public health approach to address gambling-related harm in Great Britain across multiple levels of measurement. It comprises three primary factors and nine related subfactors. To advance the National Strategy, all componentsneed to be supported by a strong evidence base. This report examines existing research expertise relevant to the Framework amongacademics based in the UK. The aim is to understand the extent to which the Framework factors and subfactors have been studied in order to identify gaps in expertise and provide evidence for decision making thatisrelevant to gambling harms research priorities. A social network analysis identified coauthor networks and alignment of research output with the Framework. The search strategy was limited to peer-reviewed items and covered the 12-year period from 2008 to 2019. Articles were selected using a Web of Science search. Of the 1417 records identified in the search, the dataset was refined to include only those articles that could be assigned to at least one Framework factor (n = 279). The primary factors and subfactors are: Resources:Work and Employment, Money and Debt, Crime;Relationships:Partners, Families and Friends, Community; and Health:Physical Health, Psychological Distress, and Mental Health. We used Gephi software to create visualisations reflecting degree centrality (number of coauthor networks) so that each factor and subfactor could be assessed for the density of research expertise and patterns of collaboration among coauthors. The findings show considerable variation by framework factor in the number of authors and collaborations, suggesting a need to develop additional research capacity to address under-researched areas. The Health factor subcategory of Mental Health comprised almost three-quarters of all citations, with the Resources factor subcategory of Money and Debt a distant second at 12% of all articles. The Relationships factor, comprised of two subfactors, accounted for less than 10%of total articles. Network density varied too. Although there were few collaborative networks in subfactors such as Community or Work and Employment, all Health subfactors showed strong levels of collaboration. Further, some subfactors with a limited number of researchers such as Partners, Families, and Friends and Money and debt had several active collaborations. Some researchers’ had publications that spanned multiple Framework factors. These multiple-factor researchers usually had a wide range of coauthors when compared to those who specialised (with the exception of Mental Health).Others’ collaborations spanned subfactors within a factor area. This was especially notable forHealth. The visualisations suggest that gambling harms research expertise in the UK has considerable room to grow in order to supporta more comprehensive, locally contextualised evidence base for the Framework. To do so, priority harms and funding opportunities will need further consideration. This will require multi-sector and multidisciplinary collaboration consistent with the public health approach underlying the Framework. Future research related to the present analysis will explore the geographic distribution of research activity within the UK, and research collaborations with harms experts internationally.
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