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) have classified CiteSeer articles into categories by venues. Šingliar and Hauskrecht ( 2006 ) cluster CiteSeer papers by topics based on their references to authors. Author co-citation analysis of CiteSeer documents in the XML research field has been

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. Effects and their influence on citations An effect as it relates to citation analysis is any influencing factor that may change the number of citations an entity such as an author, workgroup, institution, or publication receives. The most well

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The foundation of the IS constructing method is the citation and co-citation analysis. The citation analysis method was pioneered by Garfield et al. (Garfield et al. 1964 ). It is one of the informatics methods developed to analyze the documents

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Scientometrics
Authors: Pedro Albarrán, Juan A. Crespo, Ignacio Ortuño, and Javier Ruiz-Castillo

) and Glänzel ( 2007b , 2008 ) deduce the scaling parameter from an equation relating the h -index and the parameters of the assumed power law. 2 The vast majority of articles written in citation analysis deal

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Abstract

The h-index has received an enormous attention for being an indicator that measures the quality of researchers and organizations. We investigate to what degree authors can inflate their h-index through strategic self-citations with the help of a simulation. We extended Burrell's publication model with a procedure for placing self-citations, following three different strategies: random self-citation, recent self-citations and h-manipulating self-citations. The results show that authors can considerably inflate their h-index through self-citations. We propose the q-index as an indicator for how strategically an author has placed self-citations, and which serves as a tool to detect possible manipulation of the h-index. The results also show that the best strategy for an high h-index is publishing papers that are highly cited by others. The productivity has also a positive effect on the h-index.

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. Leydesdorff , L. , Bornmann , L. , Mutz , R. , & Opthof , T. ( 2011 ). Turning the tables in citation analysis one more time: Principles for comparing sets of documents . Journal of the American Society for Information Science and Technology , 62

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values of citations (analysis of the CIHPM) Citations Citation impact

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University Press New York . Park , HW , Leydesdorff , L 2009 Knowledge linkage structures in communication studies using citation analysis among communication journals . Scientometrics 81 1 157 – 175 10

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Why with bibliometrics the Humanities does not need to be the weakest link

Indicators for research evaluation based on citations, library holdings, and productivity measures

Scientometrics
Author: A. Linmans

Abstract  

In this study an attempt is made to establish new bibliometric indicators for the assessment of research in the Humanities. Data from a Dutch Faculty of Humanities was used to provide the investigation a sound empirical basis. For several reasons (particularly related to coverage) the standard citation indicators, developed for the sciences, are unsatisfactory. Target expanded citation analysis and the use of oeuvre (lifetime) citation data, as well as the addition of library holdings and productivity indicators enable a more representative and fair assessment. Given the skew distribution of population data, individual rankings can best be determined based on log transformed data. For group rankings this is less urgent because of the central limit theorem. Lifetime citation data is corrected for professional age by means of exponential regression.

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studies utilize bibliometric techniques, with an emphasis on citation analysis. The argument is that if science is created through scholarly writing, then we can identify documents as the carriers of disciplinary understanding and structure and see

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