Academic literature on the topic 'Bibliographical citations. Bibliometrics'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Bibliographical citations. Bibliometrics.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Bibliographical citations. Bibliometrics"
1
Vella, Supradeepa. "Predictions of Citations of a Scholarly Paper." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 1735–38. http://dx.doi.org/10.22214/ijraset.2021.37657.
Full textAbstract:
Abstract: Bibliometrics is a statistical analysis of written publications such as books or articles. A bibliographic citationis a reference to a book, article, web page, or other published item. Thus citations are useful for identifying the progress ofthe particular work and measuring the quality of the research article. The cited papers are downloaded using the crawler. Fromthe downloaded article, identify article relation by analyzing the citation context of the article. So first extract the citation context from the article. Citation context are classifies based on cue phrases of Simon tufel. Next, identify the relation of unlabeled article by word embedding. After labeling all articles identifythe perspective behind the citation of the article. In this project, citation relation is identified based on cue phrases of Simon tufel finally article impact is quantified based on the citation network formed from citation analysis. Index Terms: bibliometrics, citation, word embedding, article
2
Ibrahim, Cecep, Ria Hardiyati, Winda Anesya Ayunda, and Rahmat Fadhli. "Comparative Study of Asean Countries Research Productivity in Library Science." Webology 18, no. 1 (April 29, 2021): 371–88. http://dx.doi.org/10.14704/web/v18i1/web18095.
Full textAbstract:
Library science is one of the fastest-growing fields of knowledge, especially in Southeast Asian countries. This study aims to determine library science publications in Southeast Asia with approaches, namely bibliometrics, social network analysis, almetrics, and linear regression test. This study's data were taken from the Scopus web to obtain bibliographic data from library science publications in ten countries published in 1960-2019. Bibliometrics analysis uses Microsoft Excel calculations, mapping/scientometrics uses Vos viewer and Gephi, while altmetrics analysis uses altmetric.com. Based on the bibliometric analysis, the results showed that the most productive country is Malaysia, with 287 articles. The most sponsored publication’s country is Malaysia, with 57 articles. International journals that are popular as destinations for publication of library science articles in Southeast Asia are the Malaysian Journal of Library and Information Science (MJLIS). The country that has the most impact factor for citation is Singapore, with 4.922 citations. The country with the highest level of collaboration is Malaysia, with a total collaboration of 243 articles. The research results are based on social network analysis that the country that has the highest influence is Malaysia with a degree centrality (DC) of 301, closeness centrality (CC) of 0.61, and between centrality (BC) 0.66. The results of the study are based on altmetrics analysis. The country with the most shares/mentions on social media is Singapore, with 5.223 shares/mentions, the second is Malaysia 1467 shares/mentions. Meanwhile, based on the linear regression test that there is an influence between social media and citation, it is indicated by the Sig value of 0.001. Meanwhile, the large correlation between social media and citations was 97.8%.
3
Peroni, Silvio, and David Shotton. "OpenCitations, an infrastructure organization for open scholarship." Quantitative Science Studies 1, no. 1 (February 2020): 428–44. http://dx.doi.org/10.1162/qss_a_00023.
Full textAbstract:
OpenCitations is an infrastructure organization for open scholarship dedicated to the publication of open citation data as Linked Open Data using Semantic Web technologies, thereby providing a disruptive alternative to traditional proprietary citation indexes. Open citation data are valuable for bibliometric analysis, increasing the reproducibility of large-scale analyses by enabling publication of the source data. Following brief introductions to the development and benefits of open scholarship and to Semantic Web technologies, this paper describes OpenCitations and its data sets, tools, services, and activities. These include the OpenCitations Data Model; the SPAR (Semantic Publishing and Referencing) Ontologies; OpenCitations’ open software of generic applicability for searching, browsing, and providing REST APIs over resource description framework (RDF) triplestores; Open Citation Identifiers (OCIs) and the OpenCitations OCI Resolution Service; the OpenCitations Corpus (OCC), a database of open downloadable bibliographic and citation data made available in RDF under a Creative Commons public domain dedication; and the OpenCitations Indexes of open citation data, of which the first and largest is COCI, the OpenCitations Index of Crossref Open DOI-to-DOI Citations, which currently contains over 624 million bibliographic citations and is receiving considerable usage by the scholarly community.
4
Baloian, Nelson, José A. Pino, Gustavo Zurita, Valeria Lobos-Ossandón, and Hermann Maurer. "Twenty-five Years of Journal of Universal Computer Science: A Bibliometric Overview." JUCS - Journal of Universal Computer Science 27, no. 1 (January 28, 2021): 3–39. http://dx.doi.org/10.3897/jucs.64594.
Full textAbstract:
The Journal of Universal Computer Science is a monthly peer-reviewed open-access scientific journal covering all aspects of computer science, launched in 1994, so becoming twenty-five years old in 2019. In order to celebrate its anniversary, this study presents a bibliometric overview of the leading publication and citation trends occurring in the journal. The aim of the work is to identify the most relevant authors, institutions, countries, and analyze their evolution through time. The article uses the Web of Science Core Collection citations and the ACM Computing Classification System in order to search for the bibliographic information. Our study also develops a graphical mapping of the bibliometric material by using the visualization of similarities (VOS) viewer. With this software, the work analyzes bibliographic coupling, citation and co-citation analysis, co-authorship, and co-occurrence of keywords. The results underline the significant growth of the journal through time and its international diversity having publications from countries all over the world and covering a wide range of categories which confirms the “universal” character of the journal.
5
Mulet-Forteza, Carles, Juanabel Genovart-Balaguer, José Maria Merigó, and Emilio Mauleon-Mendez. "Bibliometric structure of IJCHM in its 30 years." International Journal of Contemporary Hospitality Management 31, no. 12 (December 9, 2019): 4574–604. http://dx.doi.org/10.1108/ijchm-10-2018-0828.
Full textAbstract:
Purpose The International Journal of Contemporary Hospitality Management is a leading international journal in the field of hospitality and tourism management. It was started in 1989, and it turns 30 years old this year. To celebrate this anniversary, this paper presents a bibliometric overview of the publication and citation structure of the journal over the past 30 years. The purpose of this paper is to identify the relevant issues in terms of keywords and topics and who is achieving better results in terms of authors, universities and countries. Design/methodology/approach The Scopus database is used to collect the bibliographical material. A graphical mapping of the bibliographic data is developed by using VOSviewer software. It produces graphical maps with several bibliometric techniques, including co-citation, bibliographic coupling and co-occurrence of keywords. Findings The results indicate that English-speaking countries are producing the highest number of articles in the journal, followed by Asian institutions, with the Hong Kong Polytechnic University as the most productive institution. Originality/value To the best of the authors’ knowledge, there are no papers that present a general overview of the publication and citation structure of this journal. Its 30th anniversary is a good moment to develop this study.
6
Thornley, Clare V., Shane J. McLoughlin, Andrea C. Johnson, and Alan F. Smeaton. "A bibliometric study of Video Retrieval Evaluation Benchmarking (TRECVid): A methodological analysis." Journal of Information Science 37, no. 6 (November 4, 2011): 577–93. http://dx.doi.org/10.1177/0165551511420032.
Full textAbstract:
This paper provides a discussion and analysis of methodological issues encountered during a scholarly impact and bibliometric study within the field of Computer Science (TRECVid Text Retrieval and Evaluation Conference, Video Retrieval Evaluation). The purpose of this paper is to provide a reflection and analysis of the methods used to provide useful information and guidance for those who may wish to undertake similar studies, and is of particular relevance for the academic disciplines which have publication and citation norms that may not perform well using traditional tools. Scopus and Google Scholar are discussed and a detailed comparison of the effects of different search methods and cleaning methods within and between these tools for subject and author analysis is provided. The additional database capabilities and usefulness of ‘Scopus More’ in addition to ‘Scopus General’ are discussed and evaluated. Scopus paper coverage is found to favourably compare with Google Scholar but Scholar consistently has superior performance at finding citations to those papers. These additional citations significantly increase the citation totals and also change the relative ranking of papers. Publish or Perish, a software wrapper for Google Scholar, is also examined and its limitations and some possible solutions are described. Data cleaning methods, including duplicate checks, expert domain checking of bibliographic data, and content checking of retrieved papers, are compared and their relative effects on paper and citation count discussed. Google Scholar and Scopus are also compared as tools for collecting bibliographic data for visualizations of developing trends and, owing to the comparative ease of collecting abstracts, Scopus is found far more effective.
7
Yeung, Andy Wai Kan, Anela Tosevska, Elisabeth Klager, Fabian Eibensteiner, Daniel Laxar, Jivko Stoyanov, Marija Glisic, et al. "Virtual and Augmented Reality Applications in Medicine: Analysis of the Scientific Literature." Journal of Medical Internet Research 23, no. 2 (February 10, 2021): e25499. http://dx.doi.org/10.2196/25499.
Full textAbstract:
Background Virtual reality (VR) and augmented reality (AR) have recently become popular research themes. However, there are no published bibliometric reports that have analyzed the corresponding scientific literature in relation to the application of these technologies in medicine. Objective We used a bibliometric approach to identify and analyze the scientific literature on VR and AR research in medicine, revealing the popular research topics, key authors, scientific institutions, countries, and journals. We further aimed to capture and describe the themes and medical conditions most commonly investigated by VR and AR research. Methods The Web of Science electronic database was searched to identify relevant papers on VR research in medicine. Basic publication and citation data were acquired using the “Analyze” and “Create Citation Report” functions of the database. Complete bibliographic data were exported to VOSviewer and Bibliometrix, dedicated bibliometric software packages, for further analyses. Visualization maps were generated to illustrate the recurring keywords and words mentioned in the titles and abstracts. Results The analysis was based on data from 8399 papers. Major research themes were diagnostic and surgical procedures, as well as rehabilitation. Commonly studied medical conditions were pain, stroke, anxiety, depression, fear, cancer, and neurodegenerative disorders. Overall, contributions to the literature were globally distributed with heaviest contributions from the United States and United Kingdom. Studies from more clinically related research areas such as surgery, psychology, neurosciences, and rehabilitation had higher average numbers of citations than studies from computer sciences and engineering. Conclusions The conducted bibliometric analysis unequivocally reveals the versatile emerging applications of VR and AR in medicine. With the further maturation of the technology and improved accessibility in countries where VR and AR research is strong, we expect it to have a marked impact on clinical practice and in the life of patients.
8
Roy, Moutusi Basak, and Subarna Kumar Das. "Mapping of Earth Science Research in West Bengal: A Bibliometric Study." Indian Journal of Information Sources and Services 8, no. 2 (August 5, 2018): 57–64. http://dx.doi.org/10.51983/ijiss.2018.8.2.521.
Full textAbstract:
The present study is based on 393 PhD theses of Earth sciences submitted to the various universities of West Bengal for the award of doctoral degree during the period 1960-2012. Besides, a citation analysis has also been done through the study of 8910 citations appended to the theses for the period of 2008-2012. The main purpose of this study is to investigate chronological distribution of theses, gender-wise distribution, supervisor-ship pattern, subject-wise distribution. The findings of the study revealed that an average of 7.43 theses was published during the whole period under study; the relative growth rate and doubling time for theses under study work out to 0.631 and 0.966 respectively; the grand average number of citations per theses was 146 citations and journals is the most prolific bibliographic forms used by the researchers. This study also examines the conformity to Lotka’s law with the distribution of data.
9
Borgoyakova, K. S. "Methods to determine scientific publications citation of a researcher." Bibliosphere, no. 1 (March 30, 2017): 103–9. http://dx.doi.org/10.20913/1815-3186-2017-1-103-109.
Full textAbstract:
The article represents two methods of estimating publication citations based on information-analytical systems «Map of Russian science» (IAS MRS) using analytical tools of this system to evaluate research significance of scientists. These techniques are advisory in nature and exemplified by two researchers, who publish the most actively in journal «Scientific and Technical Libraries». They can only be used for the analysis of citation of verified scientists in IAS MRS. The paper gives a comparison with the IAS Russian Science Citation Index. The advantage of the first technique is obtaining data to study the researcher profile in detail. The bibliometric analysis of an individual approach, in contrast to the comparative approach of the second technique is not directed to get the characteristics of «more, less, equal», but to study bibliographic information about publications obtaining not quantitative but qualitative data.The comparative-analytical method has a statistical character showing a quantitative picture, which is the information basis for further bibliometric analysis and getting new qualitative results.
10
Handoko, Luqman Hakim. "Bibliometric analysis and visualization of Islamic economics and finance articles indexed in Scopus by Indonesian authors." Science Editing 7, no. 2 (August 20, 2020): 169–76. http://dx.doi.org/10.6087/kcse.213.
Full textAbstract:
Purpose: This study aimed to analyze the bibliometric characteristics and trends of articles on Islamic economics and finance (IEF) indexed in Scopus by Indonesian authors.Methods: Data were retrieved from the Scopus database. Articles were searched in June 2020 with the limitation of Indonesian authors or affiliation. The keywords used in this study included IEF, and variations thereof, with the search filtered by Indonesian affiliation. Simple statistical methods were used, and a bibliometric analysis was conducted using VOSviewer software. This study visualized patterns of the co-occurrence of keywords, citations of documents, co-citation relationships, and bibliographic coupling.Results: The number of studies in the field of IEF increased in recent years. Articles on IEF have been published in more than 150 journals, among which the most popular was <i>Talent Development and Excellence</i>. Collaboration among authors reached 33 countries, most prominently Malaysia. Certain keywords, such as halal tourism, zakat, and Islamic microfinance, have become the most popular in the last few years. The bibliometric analysis showed that 24 documents had the largest citation relationship, 52 journals had the largest co-citation network, and 172 documents had the largest bibliographic coupling relationship.Conclusion: Research in the field of IEF by Indonesian authors has increased rapidly, with extensive collaboration. <i>Halal</i> tourism is among the most popular research topics in the last few years and is a prospective topic for future research. Moreover, the results showed that sources on IEF were widely used as references.
Dissertations / Theses on the topic "Bibliographical citations. Bibliometrics"
1
Olensky, Marlies. "Data accuracy in bibliometric data sources and its impact on citation matching." Doctoral thesis, Humboldt-Universität zu Berlin, Philosophische Fakultät I, 2015. http://dx.doi.org/10.18452/17122.
Full textAbstract:
Ist die Zitationsanalyse ein geeignetes Instrument zur Forschungsevaluation? Diese Dissertation untersucht, ob die zugrunde liegenden Zitationsdaten ausreichend fehlerfrei sind, um aussagekräftige Ergebnisse der Analysen zu erzielen, beziehungsweise sollte dies nicht der Fall sein, ob der Prozess, der die zitierenden und zitierten Artikel einander zurordnet, ausreichend robust gegenüber Ungenauigkeiten in den Daten ist. Ungenauigkeiten wurden als Unterschiede in den Datenwerten der bibliographischen Angaben definiert. Die untersuchten Daten setzen sich aus gezielt ausgewählten Publikationen des Web of Science (WoS) zusammen, welche eine geschichtete Stichprobe ergeben. Die bibliographischen Daten von 3.929 Referenzen wurden in einer qualitativen Inhaltsanalyse bewertet und die bibliographischen Ungenauigkeiten in einer Taxonomie zusammengefasst. Um genau festzulegen, welche von diesen tatsächlich den Zuordnungsprozess von Zitationen beeinflussen, wurde eine spezifische Untergruppe von Zitationen, d.h. Zitationen die von WoS nicht erfolgreich dem jeweilig zitierten Artikel zugeordnet wurden, untersucht. Die Ergebnisse wurden mit den Daten zweier weiterer bibliographischen Datenbanken, Scopus und Google Scholar, sowie den Daten dreier angewandter bibliometrischer Forschungsgruppen, CWTS, iFQ und Science-Metrix, trianguliert. Die Zuordnungsalgorithmen von CWTS und iFQ konnten rund zwei Drittel dieser Zitierungen erfolgreich zuordnen. Scopus und Google Scholar konnten ebenso über 60% der fehlenden Zitierungen erfolgreich mit dem entsprechenden zitierten Artikel verbinden, während Science-Metrix nur eine geringe Anzahl an Referenzen (5%) schaffte. Vollkommen falsche erste Seitenzahlen sowie Zahlendreher in Publikationsjahren können in allen Datenquellen nicht richtig zugeordnete Zitierungen verursachen. Basierend auf den Ergebnissen wurden Lösungsvorschläge formuliert, die im Stande sind den Zuordnungsprozess von Zitationen in bibliometrischen Datenquellen zu verbessern.Is citation analysis an adequate tool for research evaluation? This doctoral research investigates whether the underlying citation data is sufficiently accurate to provide meaningful results of the analyses and if not, whether the citation matching process can rectify inaccurate citation data. Inaccuracies are defined as discrepancies in the data values of bibliographic references, since they are the essential part in the citation matching process. A stratified, purposeful data sample was selected to examine typical cases of publications in Web of Science (WoS). The bibliographic data of 3,929 references was assessed in a qualitative content analysis to identify prevailing inaccuracies in bibliographic references that can interfere with the citation matching process. The inaccuracies were categorized into a taxonomy. Their frequency was studied to determine any strata-specific patterns. To pinpoint the types of inaccuracies that influence the citation matching process, a specific subset of citations, i.e. citations not successfully matched by WoS, was investigated. The results were triangulated with five other data sources: with data from two bibliographic databases in their role as citation indexes (Scopus and Google Scholar) and with data from three applied bibliometric research groups (CWTS, iFQ and Science-Metrix). The matching algorithms of CWTS and iFQ were able to match around two thirds of these citations correctly. Scopus and Google Scholar also handled more than 60% successfully in their matching. Science-Metrix only matched a small number of references (5%). Completely incorrect starting page numbers and transposed publication years can cause a citation to be missed in all data sources. However, more often it is a combination of more than one kind of inaccuracy in more than one field that leads to a non-match. Based on these results, proposals are formulated that could improve the citation matching processes of the different data sources.
2
Montefusco, Adilson Marcos. "A influência de autores estrangeiros no aumento de citações em periódicos brasileiros de medicina: uma análise bibliométrica." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/5/5143/tde-23042018-122038/.
Full textAbstract:
Introdução: Muito se tem discutido sobre o desafio de aumentar o impacto das publicações brasileiras. Comparado com outros países, o Brasil possui alta taxa de publicação, mas com baixo índice de citação por documento. Enquanto instituições de fomento e de pesquisa propõem a cooperação internacional como meio de aumentar o impacto das publicações científicas, os editores de periódicos contestam essa exigência. Objetivo: Avaliar se nos periódicos brasileiros de medicina, o número de citações recebidas é influenciado pelo tipo de afiliação dos autores e por outras variáveis relacionadas ao documento ou ao periódico. Métodos: Foram analisados 61 periódicos de medicina publicados no Brasil em 2012, utilizando o SCImago e o Scopus para a extração dos artigos e seus dados. O número de citações de um documento num período de cinco anos foi analisado de acordo com a afiliação dos autores (nacional, internacional ou colaboração), idioma e tipo do documento, indicador SCImago e categoria do assunto do periódico. Resultados: Análises univariadas mostraram que todas as variáveis testadas influenciaram o número de citações recebidas. Após ajuste de covariáveis pela análise multivariada observamos aumento de citações em 0,17 (IC 95%: 0,094-0,246) para documentos com afiliação em colaboração quando comparado à afiliação nacional. Aumento significativo no número de citações foram observados em documentos em idioma bilíngue (Inglês e Português) 0,329 (IC 95%: 0,256-0,402) e apenas em Inglês 0,158 (IC 95%: 0,086-0,231) quando comparado a documentos em português, do tipo artigo 1,716 (IC 95%: 1,410-2,021) e artigo de Revisão 2,931 (IC 95%: 2,618-3,245) quando comparados a artigo no prelo e que possuem categoria de assunto Hematologia 1,280 (IC 95%: 1,019-1,540), entre outros, quando comparado ao assunto geriatria e gerontologia. Conclusão: Documentos com autoria em colaboração, aumentaram, de modo discreto, o índice de citação nos periódicos de interesse, quando comparados aos de autoria nacional. Idioma, tipo do documento, indicador Scimago (cites per doc - 2 years) e categoria do assunto do periódico influenciaram significantemente o número de citações recebidasIntroduction: The challenge of increasing the impact of Brazilian science has been much discussed. Compared with other countries, Brazil has a high publication rate, but with low citation index per document. While sponsoring and research institutions are proposing international cooperation as a means of increasing the impact of science, journal editors question this demand. Objective: To evaluate whether, in Brazilian medical journals, the number of received citations is influenced by the type of authors affiliation and other variables related to the document or to the journal. Methods: A total of 61 medical journals published in Brazil in 2012 were analyzed, SCImago and Scopus were used to extract the articles and their data. The number of citations of a document over five years was analyzed according to the authors\' affiliation (national, international or in collaboration), language and document type, SCImago index and journal subject category. Results: Univariate analyses showed that all tested variables influenced the number of received citations. After adjusting for covariates by multivariate analysis, we observed an increase of citations in 0.17 (95% CI: 0.094-0.246) for documents with affiliation in collaboration when compared to national affiliation. A significant increase in the number of citations was observed in bilingual documents (English and Portuguese) 0.329 (95% CI: 0.256-0.402) and only English 0.158 (95% CI: 0.086-0.231) when compared to documents in Portuguese, document type: Article 1.716 (95% CI: 1.410-2.021) and Review 2.931 (95% CI: 2.618-3.245) when compared to Article-in-Press and that have subject category Hematology 1.280 (95% CI: 1.019-1.540), among others, when compared to geriatrics and gerontology. Conclusion: Documents with authorship in collaboration increased, in a discreet way, the citation index in journals of interest, when compared to those with national authorship. Language, document type, SCImago index (cites per doc 2 years) and journal subject category significantly influenced the number of received citations
3
Cano, Virginia. "Citation life cycle use of citations through time /." 1990. http://books.google.com/books?id=5w7hAAAAMAAJ.
Full text
4
"Similarity and comparison of academic ranking algorithms." 2013. http://library.cuhk.edu.hk/record=b5549315.
Full textAbstract:
近些年來，一些論文數據庫(特別是Libra) 變得公開化并已經開始提供給用戶他們請求獲得的信息。這使得我們可以將學術社區當做一個社會網絡來進行研究，不僅分析對作者的著作進行一些統計學的分析，還研究一個作者選擇性與其他作者合著的關係，以及一個作者對其他作者的影響。我們的研究即是定義一些基於社會網絡的方法來測試前面所說的影響關係及合著關係等。我們設計的算法中，最主要的是作者影響力排名算法(AIR) 。該算法類似于著名的網頁排名算法(PageRank) ，並且把我們提取的三種關係都考慮在內。而其他的算法，都是基於某種關係或是某些關係的組合。這些算法包括:聯繫( Connection，利用合著關係、)， 追隨者數量(Follower Count ，利用發表關係)，追隨者(Follower ，利用引用關係)和平均引用數量(Balanced Citation Count ，利用合著關係和引用關係)。
這對這些算法，我們設計并研究了一些簡單的特例，通過算法之間橫向與縱向的比較來分析這些算法的特性。在不同的情形下，同一算法的表現并不一致，這是我們引入一個新的變量以便於靈活調整的原因。通過設定不同的變量值，我們利用距離衡量工具來度量這些算法結果的變化。
更進一步，我們利用不同的數據集合作為輸入來比較不同算法的表現，并利用一種距離測量工具(Spearman Footrule Distance) 來做算法之間的兩兩比較。在算法的比較中，基於排名值，我們能推斷出關於這些算法的一些結論。而基於累積值的比較，一方面驗證了這些結論的正確性，另一方面也展現出作者影響力排名算法(AIR) 的優越性。同時， 一些來源於現實生活中的排名結果，也可以用來串串證作者影響力排名算法(AIR) 的準確度。
In recent years, some of the publications database become more publically accessible, and are starting to provide additional information users can query (this is specially the case with Libra). This allows us to study the author community as a social network, analyzing not only the statistics about papers published by an author, individually at a time, but also an author’s choice and extent in connecting to other authors (co-authoring), and an author’s influence on other authors. Our approach is todesign various social network type of metrics to measure the traits defined above.
The main algorithm Author Influence Ranking (AIR), which is analogous to PageRank algorithm, is defined by taking all three relationships into consideration. Other algorithms, based on a single relationship or combination of different relationships, include: Connection, ranking algorithm using coauthor-ship; Follower Count, ranking algorithm using the number of authors who cite papers of a particular author; Follower, ranking algorithm using citation-ship; Balanced Citation Count, ranking algorithm using citation counts normalized by coauthors.
To show properties of different algorithms and do comparison among them, we design and study primitive cases. For some algorithms, the teleportation vector leads to the deviation at certain extent. Therefore, we study different teleportation vectors by tuning a parameter β(details discussed in Chapter 4) from 0 (uniformly distributed) to 1 (proportional to authors’ productivity). With different β, we define Distance to measure the changes in results of these algorithms.
Furthermore, comparisons among these algorithms are conducted by using different publication dataset and we choose Spearman Footrule Distance in our experiment to do comparison for pair of algorithms. Rank value and cumulative value are used in the comparisons: based on the comparisons using rank value, we conclude several observations regarding these algorithms. While the comparisons based on cumulative value help us confirm the "efficiency" of AIR. For using AIR metric, we can find out those really influential researchers who may not be ranked high by other metrics. We study the influence of Turing award winners and all the Turing Award winners scored at least "B", from which we can see AIR’s "accuracy". We also apply AIR metric in the real situation. We study researchers who have Grade "A"(the grade will be discussed in Chapter 6) in Influence and find most of them have good positions in reality, which help us justify the validity of AIR.("efficiency", "accuracy" and "validity" will be discussed more in Chapter 6.)
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Detailed summary in vernacular field only.
Song, Qianqian.
Thesis (M.Phil.)--Chinese University of Hong Kong, 2013.
Includes bibliographical references (leaves 78-82).
Abstracts also in Chinese.
Abstract --- p.i
Acknowledgement --- p.iv
Chapter 1 --- Introduction --- p.1
Chapter 1.1 --- Motivation --- p.1
Chapter 1.2 --- Background --- p.2
Chapter 1.3 --- Our Contribution and Organization --- p.5
Chapter 2 --- Academic Ranking Algorithms --- p.8
Chapter 2.1 --- Publication Statistics Algorithms --- p.10
Chapter 2.1.1 --- Citation Count --- p.10
Chapter 2.1.2 --- Balanced Citation Count --- p.11
Chapter 2.1.3 --- Follower Count --- p.12
Chapter 2.2 --- PageRank-like Algorithms --- p.13
Chapter 2.2.1 --- The PageRank Algorithm --- p.13
Chapter 2.2.2 --- Author Influence Ranking --- p.15
Chapter 2.2.3 --- Science Author Rank Algorithm --- p.17
Chapter 2.2.4 --- Connection --- p.20
Chapter 2.2.5 --- Follower --- p.21
Chapter 3 --- Analysis of Metrics Based on Primitive Cases --- p.22
Chapter 3.1 --- The Original Case --- p.23
Chapter 3.2 --- Case for Three General Authors --- p.24
Chapter 3.3 --- Case for Productive Authors --- p.26
Chapter 3.4 --- Cases for Productive Author and Coauthor-ship --- p.28
Chapter 3.4.1 --- Type i --- p.28
Chapter 3.4.2 --- Type ii --- p.30
Chapter 3.5 --- Case for Coauthor-ship --- p.32
Chapter 3.6 --- Cases for Citation Count and Balanced Citation Count --- p.34
Chapter 3.6.1 --- Type i --- p.34
Chapter 3.6.2 --- Type ii --- p.36
Chapter 4 --- Key Parameter in PageRank-like Algorithms --- p.39
Chapter 4.1 --- The Key Parameter β --- p.39
Chapter 4.2 --- Comparison Based on β --- p.40
Chapter 4.3 --- Discussion --- p.43
Chapter 5 --- Algorithms Comparison --- p.46
Chapter 5.1 --- The Description of Our Comparisons --- p.46
Chapter 5.2 --- Similarity Between Different Metrics --- p.47
Chapter 5.3 --- Two Dimensions Comparison --- p.51
Chapter 5.3.1 --- Comparison in Algorithms Dimension --- p.51
Chapter 5.3.2 --- Comparison in Time Dimension --- p.54
Chapter 6 --- Case Study and Validation --- p.56
Chapter 6.1 --- AIR v.s Other Metrics --- p.57
Chapter 6.1.1 --- AIR v.s Citation Count --- p.58
Chapter 6.1.2 --- AIR v.s Follower Count --- p.59
Chapter 6.1.3 --- AIR v.s Follower --- p.61
Chapter 6.1.4 --- AIR v.s Connection --- p.62
Chapter 6.1.5 --- AIR v.s the First Active Year --- p.64
Chapter 6.2 --- AIR v.s Rank in Reality --- p.65
Chapter 6.2.1 --- Ranking Award Recipients --- p.65
Chapter 6.2.2 --- Top AIR Ranking in Society --- p.65
Chapter 7 --- Conclusion --- p.76
Bibliography --- p.78
5
Thompson, Elizabeth Conceicao Garcia. "An investigation into the effect of the world wide web on the citation behaviour of Master of Information Studies students at the University of Natal during the period 1996-2002." Thesis, 2004. http://hdl.handle.net/10413/1973.
Full textAbstract:
Described as accommodating both traditional and new information spaces (Fourie 2002: 53), the Web has significantly changed the milieu of research and study. The study determined how this changing research and study environment has affected the research behaviour of students in African higher education environments, specifically at the research entry level of master's degree programmes. The study examined both explicit examples of the affect of the Web on students' citation behaviour and tacit influences that may have determined the extent of this affect. Explicit examples of the affect of the Web were drawn from analysing changes in the citation patterns of Master of Information Studies (MIS) theses during a period of access to the Web, and specifically in the years 1996, 1999 and 2002. Tacit influences on students' citation behaviour were inferred from an investigation of the level and nature of MIS supervisors' use and support of the Web for research and of a background study of the facilities, resources and services supporting student access to the Web at the University of Natal, Pietermaritzburg. Findings of this study concluded that the use of the Web medium has grown and in 2002 accounted for 17.5% of all citations included in MIS bibliographies. However use of this medium is disparate with a few bibliographies accounting for much of this growth. Findings indicated that the Web medium was mostly utilised for the delivery of sources that do not meet the traditional description of a scholarly source. The study also found that the Web was used as an alternative medium for the delivery of informal and grey literature sources without necessarily increasing the level of use of these sources. The study revealed greater support for this medium from the masters programme's supervisors than was evidenced from a citation analysis of the bibliographies of theses. Disparities in the support of this medium for research, within the University of Natal, Pietermaritzburg's supporting infrastructure was also observed. Recommendations drawn from these conclusions include the need for greater intervention from teaching faculty, librarians and the institution in the provision of clear guidelines of expectations, relevant instruction and sufficient physical access at points of expertise, to effectively support the use of Web resources.Thesis (M.I.S.)-University of KwaZulu-Natal, Pietermaritzburg, 2004.
6
Hasibuan, Zainal Arifin. "Document similarity and structure using bibliometric methods and index terms as approaches to improving information retrieval performance /." 1995. http://catalog.hathitrust.org/api/volumes/oclc/35155860.html.
Full textBooks on the topic "Bibliographical citations. Bibliometrics"
1
Sīdū, Amīn Sulaymān. al-Ḍ abṭ al-bibliyūjrāfī wa-al-taḥlīl al-bibliyūmitrī fī ʻilm al-maktabāt wa-al-maʻlūmāt: Dirāsah taṭbīqīyah ʻalá majallat Shiʻr. [Riyadh]: Muʾassasat al-Yamāmah al-Ṣuḥufīyah, 1996.
Find full text
2
Bibliometrics and citation analysis: From the Science citation index to cybermetrics. Lanham, Md: Scarecrow Press, 2009.
Find full text
3
Bujdosó, Ernő. Bibliometria és tudománymetria. Budapest: Országos Széchényi Könyvtár Könyvtártudományi és Módszertani Központ, 1986.
Find full text
4
Krištofičová, Eva. Prostriedky hodnotenia knižničných a vedeckoinformačných procesov. [Bratislava]: Centrum vedecko-technických informacií SR, 1997.
Find full text
5
Dawsarī, Fahd Musfir. Niẓām al-ittiṣāl al-fikrī ʻinda al-udabāʼ al-akādīmīyīn fī al-Mamlakah al-ʻArabīyah al-Saʻūdīyah: Dirāsah bibliyūmitrīyah muqāranah. al-Riyāḍ: Maktabat al-Malik Fahd al-Waṭanīyah, 1999.
Find full text
6
Jokić, Maja. Qualität und Quantität wissenschaftlicher Veröffentlichungen: Bibliometrische Aspekte der Wissenschaftskommunikation. Jülich: Forschungszentrum Jülich, Zentralbibliothek, 2006.
Find full text
7
Sugimoto, Cassidy R., and Blaise Cronin. Scholarly metrics under the microscope: From citation analysis to academic auditing. Medford, New Jersey: Published on behalf of the Association for Information Science and Technology by Information Today, Inc., 2015.
Find full text
8
Attwood, Michael. A mirror to ourselves: A citation analysis of New Zealand libraries, 1980-1990. Wellington, N.Z: Dept. of Library and Information Studies, Victoria University of Wellington, 1991.
Find full text
9
Tibor, Braun. Hírem a világban: Egy tudományos kutató és szakirodalmi hírszerző alig kódolt üzenetei. Budapest: Akadémiai Kiadó, 2006.
Find full textBook chapters on the topic "Bibliographical citations. Bibliometrics"
1
Yoon, Gunwoo. "Gamification Research in View of Bibliometrics: A Literature Trend, Bibliographic Coupling, and Co-citation Analysis: An Abstract." In Marketing Opportunities and Challenges in a Changing Global Marketplace, 555–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39165-2_231.
Full text
2
Hariharan, S., V. S. Prasanth, and P. Saravanan. "Role of Bibliographical Databases in Measuring Information." In Advances in Standardization Research, 61–71. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3457-0.ch005.
Full textAbstract:
The quantum of information being produced has made the information scientists to devise various ways and means to effectively organize and disseminate them when needed. Bibliographical, citation and abstracting databases are the some of the tools. This chapter intends to describe the conceptual base of bibliographical databases, their genesis and impact in library science perspective and their importance in measuring information. The chapter also presents the science of measuring information using various quantitative and qualitative approaches like bibliometrics and scientometrics.
3
Jeyasekar, J. John, and P. Saravanan. "Mapping Forensic Odontology Literature Using Open Source Bibliographies and Software." In Advances in Library and Information Science, 170–89. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8178-1.ch011.
Full textAbstract:
Domain visualization, an emerging field of study is used to map the growing domain structure of scientific disciplines. Scientometrics is a distinct discipline that has emerged from citation based domain visualization. Visualization with the aid of science maps enables visual comprehension. Science maps can be effectively created with the help of computer algorithms. Bibliographic databases are also available freely over the internet. The various computer algorithms and bibliographic databases are discussed. Some of the different bibliometric indicators are also briefly explained. A mapping study of forensic odontology literature for a five year period of 2009 to 2013 is done using two bibliometric databases, viz., PubMed and Google Scholar, which are freely available. MS-Excel spreadsheets and Publish or Perish (PoP) software are used for data analysis. Co-word maps are also created using VOSviewer to visualize the sub-fields of forensic odontology.
4
Aseidu, Sylvester Tetey, and Richard Boateng. "Exploring the Scope of User Resistance." In Handbook of Research on Managing Information Systems in Developing Economies, 548–72. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2610-1.ch029.
Full textAbstract:
Although innovation adoption has been given much attention in information systems (IS) literature, it has less to account for in user resistance. This chapter contributes to this ongoing debate through a bibliometric review of the user resistance research for the period 1978 to the first quarter of 2019 to provide a coherent overview of the recent research trends and theoretical cornerstones. The authors merged two approaches—co-citation analysis and bibliographic coupling—to (1) create a visualized network of articles that focus on ‘user resistance' and (2) to create distinct yet related clusters of articles related thematically. In the findings, they illustrate via the co-citation analysis that user resistance research builds on four main theoretical cornerstones: status quo bias and equity implementation theories, organizational change, social influence and perceived usefulness, power and politics. In conclusion, more research is needed on this theme from a developing economy perspective as IS adoption and usage gains maturity.