Papers of interest to SIG Metrics readers
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Thu Apr 19 11:55:14 EDT 2012
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TITLE: A threshold citation analysis in marketing research
(Article, English)
AUTHOR: Chan, KC; Lai, P; Liano, K
SOURCE: EUROPEAN JOURNAL OF MARKETING 46 (1-2). 2012. p.134-156
EMERALD GROUP PUBLISHING LIMITED, BINGLEY
SEARCH TERM(S): GARFIELD E SCIENCE 178:471 1972
KEYWORDS: Marketing research; Performance measurement (quality);
Marketing; Research
KEYWORDS+: BUYER-SELLER RELATIONSHIPS; JOURNALS; ORIENTATION; IMPACT;
INSTITUTIONS; PARADIGM; FIRM
ABSTRACT: Purpose - The objective of this paper is to
simultaneously identify influential articles, journals, institutions, and researchers in marketing research in recent years using a threshold citation analysis.
Design/methodology/approach - The threshold citation analysis counts the number of times a research work is cited by articles published in a set of elite marketing journals. In order to be included in the analysis, the research work must be cited 18 or more times. This threshold is used to measure influence and is unique in the ranking of marketing research. The threshold citation analysis incorporates the quality, the importance, and the influence of research works in the ranking criteria and is not limited to a set of journals nor confined by the year a research work is published.
Findings - The three frequently cited articles in marketing research are Fornell and Larcker, Baron and Kenny, and Anderson and Gerbing. Journal of Marketing, Journal of Marketing Research, and Journal of Consumer Research are the three marketing journals having the greatest influence in marketing research. As for the ranking of institutions, the three most influential institutions in marketing research are Northwestern University, the University of Pennsylvania, and the University of Michigan while the three frequently cited authors in marketing research are Richard Oliver, Valarie Zeithaml, and James Anderson.
Originality/value - First, this study identifies influential research works, journals, institutions, and researchers in marketing simultaneously and is in sharp contrast to the traditional approaches that identify influential research works, journals, institutions, and researchers separately. Second, this analysis mitigates the limitations that have plagued the quantity oriented publication-based approach and the quality oriented citation-based approach, making these findings more robust and inclusive. Finally, this paper identifies non-marketing journals, non-marketing articles, and scholarly books that have significant impact on contemporary marketing research. Consequently, this study offers new and comprehensive insights to the rankings research in marketing that were neglected by previous studies.
AUTHOR ADDRESS: K Liano, Mississippi State Univ, Dept Finance, Starkville,
MS 39759 USA
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TITLE: A Study of the Evolution of Interdisciplinarity in
Library and Information Science: Using Three Bibliometric Methods
(Article, English)
AUTHOR: Chang, YW; Huang, MH
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (1). JAN 2012. p.22-33
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): LIPETZ BA rauth;
KESSLER MM AM DOC 14:10 1963;
BIBLIOMETR* item_title
KEYWORDS+: CITATION ANALYSIS; SOCIAL-SCIENCES; PATTERNS; DISCIPLINES;
INTRADISCIPLINARY; COLLABORATION; COMMUNICATION;
AFFILIATION; LITERATURES; MANAGEMENT
ABSTRACT: This study uses three bibliometric methods: direct
citation, bibliographic coupling, and co-authorship analysis, to investigate interdisciplinary changes in library and information science
(LIS) from 1978 to 2007. The results reveal that LIS researchers most frequently cite publications in their own discipline. In addition, half of all co-authors of LIS articles are affiliated with LIS-related institutes. The results confirm that the degree of interdisciplinarity within LIS has increased, particularly co-authorship. However, the study found sources of direct citations in LIS articles are widely distributed across 30 disciplines, but co-authors of LIS articles are distributed across only 25 disciplines. The degree of interdisciplinarity was found ranging from 0.61 to 0.82 with citation to references in all articles being the highest and that of co-authorship being the lowest. Percentages of contribution attributable to LIS show a decreasing tendency based on the results of direct citation and co-authorship analysis, but an increasing tendency based on those of bibliographic coupling analysis.
Such differences indicate each of the three bibliometric methods has its strength and provides insights respectively for viewing various aspects of interdisciplinarity, suggesting the use of no single bibliometric method can reveal all aspects of interdisciplinarity due to its multifaceted nature.
AUTHOR ADDRESS: YW Chang, Fu Jen Catholic Univ, Dept Lib & Informat Sci,
510 Zhongzheng Rd, New Taipei City 24205, Taiwan
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TITLE: Effects of Academic Experience and Prestige on
Researchers' Citing Behavior (Article, English)
AUTHOR: Frandsen, TF; Nicolaisen, J
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (1). JAN 2012. p.64-71
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): ZUCKERMAN H rauth
KEYWORDS+: RESEARCH PRODUCTIVITY; AGE; ECONOMICS; REVIEWS; SCIENCE
ABSTRACT: This article reports the findings of a bibliometric study
of the measurable effects of experience and prestige on researchers'
citing behavior. All single authors from two econometrics journals over a 10-year time period form the basis of the analysis of how experience and prestige affect the number of references in their publications.
Preliminary results from linear regression models suggest that two author types can be characterized using this analysis. Review experience seems to be the decisive factor in the data. The article discusses the implications of the findings and offers suggestions for future research within this new and promising area.
AUTHOR ADDRESS: TF Frandsen, Univ So Denmark, Campusvej 55, DK-5230 Odense
M, Denmark
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TITLE: Universality of Citation Distributions Revisited
(Article, English)
AUTHOR: Waltman, L; van Eck, NJ; van Raan, AFJ
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (1). JAN 2012. p.72-77
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): CITATION item_title; CITATION* item_title
KEYWORDS+: INDICATOR
ABSTRACT: Radicchi, Fortunato, and Castellano (2008) claim that,
apart from a scaling factor, all fields of science are characterized by the same citation distribution. We present a large-scale validation study of this universality-of-citation-distributions claim. Our analysis shows that claiming citation distributions to be universal for all fields of science is not warranted. Although many fields indeed seem to have fairly similar citation distributions, there are exceptions as well. We also briefly discuss the consequences of our findings for the measurement of scientific impact using citation-based bibliometric indicators.
AUTHOR ADDRESS: L Waltman, Leiden Univ, Ctr Sci & Technol Studies, POB 905,
NL-2300 AX Leiden, Netherlands
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TITLE: Link Prediction in Citation Networks (Article, English)
AUTHOR: Shibata, N; Kajikawa, Y; Sakata, I
SOURCE: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE
AND TECHNOLOGY 63 (1). JAN 2012. p.78-85
WILEY-BLACKWELL, MALDEN
SEARCH TERM(S): MACROBERTS MH rauth; PRICE DJD rauth;
SEGLEN PO J AM SOC INFORM SCI 45:1 1994;
SMALL H J AM SOC INFORM SCI 50:799 1999;
CITATION item_title; CITATION* item_title
KEYWORDS+: SCIENCE; PARADIGMS; CITEDNESS; TRACKING
ABSTRACT: In this article, we build models to predict the existence
of citations among papers by formulating link prediction for 5 large- scale datasets of citation networks. The supervised machine-learning model is applied with 11 features. As a result, our learner performs very well, with the F1 values of between 0.74 and 0.82. Three features in particular, link-based Jaccard coefficient, difference in betweenness centrality, and cosine similarity of term frequency-inverse document frequency vectors, largely affect the predictions of citations. The results also indicate that different models are required for different types of research areas-research fields with a single issue or research fields with multiple issues. In the case of research fields with multiple issues, there are barriers among research fields because our results indicate that papers tend to be cited in each research field locally.
Therefore, one must consider the typology of targeted research areas when building models for link prediction in citation networks.
AUTHOR ADDRESS: N Shibata, Univ Tokyo, Grad Sch Engn, Innovat Policy Res
Ctr, Bunkyo Ku, 2-11-16 Yayoi, Tokyo 1138656, Japan
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TITLE: How Much Do Core Journals Change over a Decade? The Case
of Communication Disorders (Article, English)
AUTHOR: Black, S
SOURCE: LIBRARY RESOURCES & TECHNICAL SERVICES 56 (2). APR 2012.
p.80-93 AMER LIBRARY ASSOC, CHICAGO
SEARCH TERM(S): LINE MB rauth; MACROBERTS MH rauth;
MERTON RK rauth;
GARFIELD E SCIENCE 178:471 1972
KEYWORDS+: CITATION DATA; IMPACT FACTOR; SERIALS; LISTS; COLLECTION;
PATTERNS; SCIENCE
ABSTRACT: This study replicates the method of identifying core
journals in the field of communication disorders published in the January
2001 issue of Library Resources and Technical Services for the purpose of determining the degree to which the ranked list changed after ten years.
Two measures are used to assess the reliability of rankings over time:
Spearman's rho rank correlations among the citing journals and coefficients of variation among cited journals. Rank correlations of groups of journals can mask important changes in rank for individual titles, so characteristics of the journals with the greatest movements in rank over a decade are explored. Major findings are that the discipline's literature grew substantially over the decade, and the core journals remained stable over ten years (r(s) = 0.73). However, despite stability of core journals over time, some titles changed dramatically in rank.
Coefficients of reliability calculated for this group of communication disorders journals suggests that approximately one-third of observed change in ranks is because of random variability in works cited.
AUTHOR ADDRESS: S Black, Coll St Rose, Neil Hellman Lib, Albany, NY USA
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