-
Nicolaisen, J.: ¬The J-shaped distribution of citedness (2002)
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- Abstract
- A new approach for investigating the correlation between research quality and citation counts is presented and applied to a case study of the relationship between peer evaluations reflected in scholarly book reviews and the citation frequencies of reviewed books. Results of the study designate a J-shaped distribution between the considered variables, presumably caused by a skewed allocation of negative citations. The paper concludes with suggestions for further research.
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- a
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Kostoff, R.N.: ¬The use and misuse of citation analysis in research evaluation (1998)
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- Abstract
- Leydesdorff, in his 1998 paper 'Theories of citation?', addresses the history of citations and citation analysis, and the transformation of a reference mechanism into a purportedly quantitative measure of research impact/quality. Examines different facets of citations and citation analysis, and discusses the validity of citation analysis as a useful measure of research impact/quality
- Footnote
- Contribution to a thematic issue devoted to 'Theories of citation?'
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- a
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Harter, S.P.; Nisonger, T.E.; Weng, A.: Semantic relationsships between cited and citing articles in library and information science journals (1993)
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- Abstract
- The act of referencing another author's work in a scholarly or research paper is usually assumed to signal a direct semantic relationship between the citing and cited work. The present article reports a study that examines this assumption directly. The purpose of the research is to investigate the semantic relationship between citing and cited documents for a sample of document pairs in three journals in library and information science: 'Library journal', 'College and research libraries' and 'Journal of the American Society for Information Science'. A macroanalysis, absed on a comparison of the Library of Congress class numbers assigned citing and cited documents, and a microanalysis, based on a comparison of descriptors assigned citing and cited documents by three indexing and abstracting journals, ERIC, LISA and LiLi, were conducted. Both analyses suggest that the subject similarity among pairs of cited and citing documents is typically very small, supporting a subjective, psychological view of relevance and a trial-and-error, heuristic understanding of the information search and research processes. The results of the study have implications for collection development, for an understanding of psychological relevance, and for the results of doing information retrieval using cited references. Several intriguing methodological questions are raised for future research, including the role of indexing depth, specifity, and quality on the measurement of document similarity
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Pichappan, P.: Levels of citation relation between papers (1996)
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- Abstract
- Proposes a typology for measuring the levels of citation relations netween papers. Introduces a new family of citation based classification schemes and outlines the typology that can be seen as being analogous to Ranganathan's APUPA pattern in subject mapping
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-
Magri, M.; Solari, A.: ¬The SCI Journal Citation Reports : a potential tool for studying journals? (1996)
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- Abstract
- Analyses 6 indicators of the Science Citation Index Journals Citation Reports over a 19 year period: number of total citations, number of citations to the previous 2 years, number of source items, impact factor, immediacy index and cited half life. Proposes a box plot method to aggregate the values of each indicator so as to obtain at a glance portrayals of the JCR population from 1974 to 1993. This 'rereading' of the JCR, which presents the JCR product differently, makes it possible to shed new light on the large sub population of journals not at the top of the rankings
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-
Thelwall, M.; Harries, G.: ¬The connection between the research of a university and counts of links to its Web pages : an investigation based upon a classification of the relationships of pages to the research of the host university (2003)
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- Abstract
- Results from recent advances in link metrics have demonstrated that the hyperlink structure of national university systems can be strongly related to the research productivity of the individual institutions. This paper uses a page categorization to show that restricting the metrics to subsets more closely related to the research of the host university can produce even stronger associations. A partial overlap was also found between the effects of applying advanced document models and separating page types, but the best results were achieved through a combination of the two.
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MacRoberts, M.H.; MacRoberts, B.R.: Author motivation for not citing influences : a methodological note (1988)
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Octavio, A.: ¬The '¬indexed' theorem (1996)
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Larsen, B.: Exploiting citation overlaps for information retrieval : generating a boomerang effect from the network of scientific papers (2002)
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Leydesdorff, L.; Salah, A.A.A.: Maps on the basis of the Arts & Humanities Citation Index : the journals Leonardo and Art Journal versus "digital humanities" as a topic (2010)
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- Abstract
- The possibilities of using the Arts & Humanities Citation Index (A&HCI) for journal mapping have not been sufficiently recognized because of the absence of a Journal Citations Report (JCR) for this database. A quasi-JCR for the A&HCI ([2008]) was constructed from the data contained in the Web of Science and is used for the evaluation of two journals as examples: Leonardo and Art Journal. The maps on the basis of the aggregated journal-journal citations within this domain can be compared with maps including references to journals in the Science Citation Index and Social Science Citation Index. Art journals are cited by (social) science journals more than by other art journals, but these journals draw upon one another in terms of their own references. This cultural impact in terms of being cited is not found when documents with a topic such as digital humanities are analyzed. This community of practice functions more as an intellectual organizer than a journal.
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Noruzi, A.: Google Scholar : the new generation of citation indexes (2005)
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- Abstract
- Google Scholar (http://scholar.google.com) provides a new method of locating potentially relevant articles on a given subject by identifying subsequent articles that cite a previously published article. An important feature of Google Scholar is that researchers can use it to trace interconnections among authors citing articles on the same topic and to determine the frequency with which others cite a specific article, as it has a "cited by" feature. This study begins with an overview of how to use Google Scholar for citation analysis and identifies advanced search techniques not well documented by Google Scholar. This study also compares the citation counts provided by Web of Science and Google Scholar for articles in the field of "Webometrics." It makes several suggestions for improving Google Scholar. Finally, it concludes that Google Scholar provides a free alternative or complement to other citation indexes.
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-
Garfield, E.: Citation indexes for science (1985)
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- Abstract
- Indexes in general seek to provide a "key" to a body of literature intending to help the user in identifying, verifying, and/or locating individual or related items. The most common devices for collocation in indexes are authors' names and subjects. A different approach to collocating related items in an index is provided by a method called "citation indexing." Citation indexes attempt to link items through citations or references, in other works, by bringing together items cited in a particular work and the works citing a particular item. Citation indexing is based an the concept that there is a significant intellectual link between a document and each bibliographic item cited in it and that this link is useful to the scholar because an author's references to earlier writings identify relevant information to the subject of his current work. One of the major differences between the citation index and the traditional subject index is that the former, while listing current literature, also provides a retrospec tive view of past literature. While each issue of a traditional index is normally concerned only with the current literature, the citation index brings back retrospective literature in the form of cited references, thereby linking current scholarly works with earlier works. The advantages of the citation index have been considered to be its value as a tool for tracing the history of ideas or discoveries, for associating ideas between current and past work, and for evaluating works of individual authors or library collections. The concept of citation indexing is not new. It has been applied to legal literature since 1873 in a legal reference tool called Shepard's Citations. In the 1950s Eugene Garfield, a documentation consultant and founder and President of the Institute for Scientific Information (Philadelphia), developed the technique of citation indexing for scientific literature. This new application was facilitated by the availability of computer technology, resulting in a series of services: Science Citation Index (1955- ), Social Sciences Citation Index (1966- ), and the Arts & Humanities Index (1976- ). All three appear in printed versions and as machine-readable databases. In the following essay, the first in a series of articles and books elucidating the citation indexing system, Garfield traces the origin and beginning of this idea, its advantages, and the methods of preparing such indexes.
- Source
- Theory of subject analysis: a sourcebook. Ed.: L.M. Chan, et al
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- a
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Schulz-DuBois, E.O.: Arbeiten deutscher Wissenschaftler, die weltweit am häufigsten zitiert wurden (1984)
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Small, H.; Sweeney, E.: Clustering the Science Citation Index using co-citations (1985)
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Small, H.: Co-citation context analysis and the structure of paradigms (1980)
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Williams, R.M.: ISI search network research front specialties (1983)
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Gorraiz, J.: ¬Die unerträgliche Bedeutung der Zitate (1992)
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Cozzens, S.E.: What do citations count? : the rhetoric-first model (1989)
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Huber, C.: Web of science (1999)
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Bensman, S.J.: Garfield and the impact factors (2007)
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