To see the other types of publications on this topic, follow the link: Citations, publications.
Dissertations / Theses on the topic 'Citations, publications'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 21 dissertations / theses for your research on the topic 'Citations, publications.'
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.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
1
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.
Full textAbstract:
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.
2
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.
Full textAbstract:
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, 2005A 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.
3
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.
Full textAbstract:
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 travaillentThe 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
4
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.
Full textAbstract:
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.
5
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.
Full textAbstract:
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.
6
Spring, Kristian Joy. "Patterns in Impact, Publication and Themes in International Blended Learning." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/6033.
Full textAbstract:
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.
7
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.
Full textAbstract:
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.
8
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.
Full text
9
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.
Full text
10
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.
Full textAbstract:
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.
11
Metz, Rosalyn. "Conducting Online Research Undergraduate Preferences of Sources." Thesis, School of Information and Library Science, 2006. http://hdl.handle.net/1901/289.
Full textAbstract:
When students write research papers they use a variety of sources in their paper. These sources range from web pages to research articles. The purpose of this study was to decide whether or not undergraduate students would choose to use scholarly or non-scholarly sources when presented with both types of sources in a set of search results. Twenty Duke University students were recruited for the study. They were given a research topic and asked to perform a search. Both the search results and interface were fabricated by the researcher in order to control the experimental environment. The students were asked to rate the sources found in the results, choose four sources to use for their research scenario, and finally, were asked to explain reasoning behind their choices. The findings concluded that the students in this study were more likely to choose scholarly sources over non-scholarly sources and give these scholarly sources higher ratings.
12
Brown), (E Ashley Rogers. "Building a Better Mousetrap: Capturing New Data in ISI Journal Citation Reports and Local Journal Utilization Reports to Support Academic Collection Managers." Thesis, School of Information and Library Science, 2006. http://hdl.handle.net/1901/312.
Full textAbstract:
The ISI provides librarians with tools such as the Journal Citation Reports (JCR) and the institution specific Local Journal Utilization Report (LJUR) to aid in the management of serials collections. These tools enable librarians to respond quickly to changes in publishing practices and purchasing options. While available literature often criticizes ISI data, few studies provide concrete recommendations for improvement. This study explores two extensions to LJUR: (1) adding citation date and (2) creating institution specific impact factors. In addition, I explore the degree to which self-citations influence the ISI impact factor. Publication and citation calculations are made for three prominent southern universities’ research chemists using a corpus of full text articles drawn from 27 American Chemical Society (ACS) journals and stored in an Oracle database. The ACS research corpus impact factor simulation and ACS research corpus self-citation omission impact factor are also created and compared with current JCR data.
13
Nivens, Ryan Andrew, and Samuel Otten. "Assessing Journal Quality in Mathematics Education." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etsu-works/246.
Full text
14
Rahm, Erhard, and Andreas Thor. "Citation analysis of database publications." 2005. https://ul.qucosa.de/id/qucosa%3A31967.
Full textAbstract:
We analyze citation frequencies for two main database conferences (SIGMOD, VLDB) and three database journals (TODS, VLDB Journal, Sigmod Record) over 10 years. The citation data is obtained by integrating and cleaning data from DBLP and Google Scholar. Our analysis considers different comparative metrics per publication venue, in particular the total and average number of citations as well as the impact factor which has so far only been considered for journals. We also determine the most cited papers, authors, author institutions and their countries.
15
Cheng, Hsiang-Jui, and 鄭祥瑞. "The study of the impact of overlooking the patent’s pre-grant publication citations on patent citation analysis." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/46708530549439233481.
Full textAbstract:
碩士國立臺灣科技大學
專利研究所
103
A patent's number of citations is often considered an indicator to the value or impact of the invention covered by the patent. However, patent applications, specifically utility patent applications, are published 18 months after filing and before they are granted a period of time later. These so-called pre-grant publications are public information and are citable as relevant prior art by the applicants or examiners of later patent applications before and after the pre-grant publications are granted. However, most patent analyses consider only the citations to the patents and ignore the citations to their pre-grant publications. This omission may lead to erroneous analytic result as the pre-grant publication and the corresponding patent cover the same invention. This study assesses the impact of such omission by comparing about 500,000 US utility patents and their pre-grant publications. The statistics shows that over 50% patents may be misjudged because of omission, suggesting that analyst should combine the citations to the pre-grant publications and to the patents together when evaluating patents or conducting patent citation analysis.
16
Arunachalam, Subbiah. "On Publication Indicators - Correspondence." 2004. http://hdl.handle.net/10150/105989.
Full text
17
Arunachalam, Subbiah. "Use of SCI-based Publication Counts - Correspondence." 2003. http://hdl.handle.net/10150/105369.
Full textAbstract:
This is a correspondence on an article by Karandikar and Sunder and an article by Pichappan (both published in Current Science 2003, issue 85) that present some misgivings about the use of Science Citation Index-based publication counts. Arunachalam discusses why the stance taken, the total number of papers published from a country should not be used as a science indicator, is extreme.
18
Pluzhenskaia, Marina A. "Publication and citation analysis of disciplinary connections of library and information science faculty in accredited schools /." 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3270003.
Full textAbstract:
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007.Source: Dissertation Abstracts International, Volume: 68-07, Section: A, page: 2704. Adviser: Linda C. Smith. Includes bibliographical references (leaves 164-174) Available on microfilm from Pro Quest Information and Learning.
19
Chen, Shui-shih, and 陳水石. "CRE: An Automatic Citation Record Extractor for Publication List Pages by Using Cluster Ensemble and Repeat Pattern Analysis." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/24531857274076522575.
Full textAbstract:
碩士國立臺灣科技大學
資訊工程系
96
Today, a huge amount of researchers’ publication list pages are available on the Web, which could be an important resource for many value-added applications, such as citation analysis, conflict of interest, and academic social networks. How to gather citation records from those publication list pages efficiently and accurately is still a challenging problem because many of those pages are crafted manually by researchers themselves, and the layouts of those pages and the formats of citation records could be quite different depending on the researchers’ affinities. In this thesis, we propose a Citation Record Extractor (CRE) system, which is capable of extracting citation records presented with various layouts of publication list pages correctly and automatically. Our cues to solve this problem are inspired from the regular nature of citation records in a given publication list page. A cluster ensemble framework is adopted to analyze the implicitly features of pages and a repeat pattern finding technique is utilized to reveal possible patterns that may represent citation records. Extensive experiments are conducted to measure the effects of all parameters and system performance. The experiment results clearly show that our approach can perform stable and well (with 88.9% of F-measure on average) and outperform the MDR [33] system and two Naïve systems that based on DOM tree structure and Visual separating assumption. We also provide an analysis on our dataset to show that the richness of publication information contained in publication list pages.
20
Strydom, Machteld Christina. "Algoritmiese rangordebepaling van akademiese tydskrifte." Thesis, 2007. http://hdl.handle.net/10500/1319.
Full textAbstract:
Opsomming
Daar bestaan 'n behoefte aan 'n objektiewe maatstaf om die gehalte van
akademiese publikasies te bepaal en te vergelyk.
Hierdie navorsing het die invloed of reaksie wat deur 'n publikasie gegenereer
is uit verwysingsdata bepaal. Daar is van 'n iteratiewe algoritme gebruik
gemaak wat gewigte aan verwysings toeken.
In die Internetomgewing word hierdie benadering reeds met groot sukses
toegepas deur onder andere die PageRank-algoritme van die Google soekenjin.
Hierdie en ander algoritmes in die Internetomgewing is bestudeer om 'n
algoritme vir akademiese artikels te ontwerp. Daar is op 'n variasie van die
PageRank-algoritme besluit wat 'n Invloedwaarde bepaal. Die algoritme is
op gevallestudies getoets. Die empiriese studie dui daarop dat hierdie variasie
spesialisnavorsers se intu¨ıtiewe gevoel beter weergee as net die blote tel van
verwysings.
Abstract
Ranking of journals are often used as an indicator of quality, and is extensively
used as a mechanism for determining promotion and funding.
This research studied ways of extracting the impact, or influence, of a journal
from citation data, using an iterative process that allocates a weight to the
source of a citation.
After evaluating and discussing the characteristics that influence quality and
importance of research with specialist researchers, a measure called the Influence
factor was introduced, emulating the PageRankalgorithm used by
Google to rank web pages. The Influence factor can be seen as a measure
of the reaction that was generated by a publication, based on the number of
scientists who read and cited itA good correlation between the rankings produced by the Influence factor
and that given by specialist researchers were found.Mathematical Sciences
M.Sc. (Operasionele Navorsing)
21
Troupová, Alžběta. "Scientometrické hodnocení vědy se zaměřením na Českou republiku." Master's thesis, 2011. http://www.nusl.cz/ntk/nusl-297240.
Full textAbstract:
(in English) The master thesis is focused on the scientometric methods of research and development evaluation and their use in particular system applied in the Czech Republic. Its introductory part presents the field of scientometrics, scientometric and bibliometric indicators and citation indices. Chapter 7 deals with research and development evaluation in Czech Republic, especially with Research Evaluation Guidelines and describes its assesment rules, results and changes due to its annual actualization. A battle of wills between the Guidelines supporters and opponents is the topic of chapter 8, in particular in the context of reallocation of institutional funding according to the Guidelines. Ideas and opinions of prominent scientists and policymakers are being presented followed by brief treatise on Czech system of research and development evaluation audit carried out by the company Technopolis Limited. In the conclusion the author summarizes and debates positives and negatives of the Czech system of science evaluation.