Faculty Peer Reviewed Papers

Permanent link for this collectionhttps://hdl.handle.net/2022/68

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Browsing Faculty Peer Reviewed Papers by Subject "citation analysis"

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    Design and update of a classification system: The UCSD map of science
    (Public Library of Science, 2012) Borner, K.; Klavans, R.; Patek, M.; Zoss A.M.; Biberstine, J.R.; Light, R.P.; Lariviere, V.; Boyack, K.W.
    Global maps of science can be used as a reference system to chart career trajectories, the location of emerging research frontiers, or the expertise profiles of institutes or nations. This paper details data preparation, analysis, and layout performed when designing and subsequently updating the UCSD map of science and classification system. The original classification and map use 7.2 million papers and their references from Elsevier's Scopus (about 15,000 source titles, 2001-2005) and Thomson Reuters' Web of Science (WoS) Science, Social Science, Arts & Humanities Citation Indexes (about 9,000 source titles, 2001-2004)-about 16,000 unique source titles. The updated map and classification adds six years (2005-2010) of WoS data and three years (2006-2008) from Scopus to the existing category structure-increasing the number of source titles to about 25,000. To our knowledge, this is the first time that a widely used map of science was updated. A comparison of the original 5-year and the new 10-year maps and classification system show (i) an increase in the total number of journals that can be mapped by 9,409 journals (social sciences had a 80% increase, humanities a 119% increase, medical (32%) and natural science (74%)), (ii) a simplification of the map by assigning all but five highly interdisciplinary journals to exactly one discipline, (iii) a more even distribution of journals over the 554 subdisciplines and 13 disciplines when calculating the coefficient of variation, and (iv) a better reflection of journal clusters when compared with paper-level citation data. When evaluating the map with a listing of desirable features for maps of science, the updated map is shown to have higher mapping accuracy, easier understandability as fewer journals are multiply classified, and higher usability for the generation of data overlays, among others.
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    Popular and/or Prestigious? Measures of Scholarly Esteem
    (Information Processing and Management, 2011-01) Cronin, Blaise; Ding, Ying
    Citation analysis does not generally take the quality of citations into account: all citations are weighted equally irrespective of source. However, a scholar may be highly cited but not highly regarded: popularity and prestige are not identical measures of esteem. In this study we define popularity as the number of times an author is cited and prestige as the number of times an author is cited by highly cited papers. Information retrieval (IR) is the test field. We compare the 40 leading researchers in terms of their popularity and prestige over time. Some authors are ranked high on prestige but not on popularity, while others are ranked high on popularity but not on prestige. We also relate measures of popularity and prestige to date of Ph.D. award, number of key publications, organizational affiliation, receipt of prizes/honors, and gender.
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    Semantic Web: Who is who in the field – A bibliometric analysis
    (Journal of Information Science, 2010-06) Ding, Ying
    The Semantic Web (SW) is one of the main efforts aiming to enhance human and machine interaction by representing data in an understandable way for machines to mediate data and services. It is a fast-moving and multidisciplinary field. This study conducts a thorough bibliometric analysis of the field by collecting data from Web of Science (WOS) and Scopus for the period of 1960-2009. It utilizes a total of 44,157 papers with 651,673 citations from Scopus, and 22,951 papers with 571,911 citations from WOS. Based on these papers and citations, it evaluates the research performance of the SW by identifying the most productive players, major scholarly communication media, highly cited authors, influential papers and emerging stars.
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    The Relationship between International Editorial Board Composition and Citation Measures in Political Science, Business, and Genetics Journals
    (Springer Verlag, 2002) Nisonger, Thomas E.
    Three measures of international composition on journal editorial boards—the number of countries represented on the board, the number of international members, and the proportion of international board members—were correlated with impact factor and total citation data in the 1999 Journal Citation Reports for 153 business, political science, and genetics journals. With a few exceptions the relationship between international editorial board composition and citation measures was non-linear, leading to the conclusion that international membership on the editorial board can not generally be used as a marker of better journal quality. Yet further investigation is warranted due to positive correlations between some editorial board and citation measures for non-U.S. business and political science journals.
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    Use of Journal Citation Reports for Serials Management in Research Libraries: An Investigation of the Effect of Self-Citation on Journal Rankings in Library and Information Science and Genetics
    (Association of College & Research Libraries, 2000-05) Nisonger, Thomas E.
    This article explores the use of the Institute for Scientific Information’s Journal Citation Reports (JCR) for journal management in academic libraries. The advantages and disadvantages to using JCR citation data for journal management are outlined, and a literature review summa- rizes reported uses of these data by libraries and scholars. This study researches the impact of journal self-citation on JCR rankings of library and information science (LIS) and genetics journals. The 1994 rankings by impact factor and total citations received were recalculated with jour- nal self-citations removed; then the recalculated rankings were com- pared to the original rankings to analyze the effect of self-citations. It is concluded that librarians can use JCR data without correcting for jour- nal self-citation, although self-citations do exert a major effect on the rankings for a small number of journals.