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On the objectives of citation analysis: Problems of theory and method

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  • B. C. Peritz

Abstract

Citation analysis can go beyond its present preoccupations and explore new areas if it follows several rules of research design—some of them known and generally accepted, others specific to this discipline: (a) a rigorous definition of the research objectives is essential in deciding on its design, including the selection and definition of variables and the measurement of their effects; (b) the ascertainment of content‐related variables enhances the theoretical interest and practical usefulness of citation analysis, although it may entail the use of smaller samples; (c) the set of papers to be compared with respect to citation frequency should be stratified in order to make them as similar as possible to each other; (d) the dependent variable, citation frequency, may comprise more than one kind of citation; (e) the elementary methods of analysis based on stratification (or matching) and adjustment should be complemented by model‐based methods which could accomodate larger numbers of variables and would take into account the skewness of citation count distributions. © 1992 John Wiley & Sons, Inc.

Suggested Citation

  • B. C. Peritz, 1992. "On the objectives of citation analysis: Problems of theory and method," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(6), pages 448-451, July.
    • Handle: RePEc:bla:jamest:v:43:y:1992:i:6:p:448-451
    DOI: 10.1002/(SICI)1097-4571(199207)43:63.0.CO;2-9
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    Cited by:

    1. Clyde W. Holsapple & Anita Lee, 1996. "Identifying Tiers of Influence in Artificial Intelligence Research: I," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 5(2), pages 87-99, June.
    2. Rodriguez, Victor & Janssens, Frizo & Debackere, Koenraad & De Moor, Bart, 2008. "On material transfer agreements and visibility of researchers in biotechnology," Journal of Informetrics, Elsevier, vol. 2(1), pages 89-100.
    3. Mario Calderini & Chiara Franzoni, 2004. "Is academic patenting detrimental to high quality research? An empirical analysis of the relationship between scientific careers and patent applications," KITeS Working Papers 162, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Oct 2004.
    4. Chiara Franzoni & Christopher L. Simpkins & Baoli Li & Ashwin Ram, 2010. "Using content analysis to investigate the research paths chosen by scientists over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 321-335, April.
    5. Collins C Ngwakwe, 2022. "The Relationship between Water/Energy Reduction and Shareholders' Dividend Yield," Oblik i finansi, Institute of Accounting and Finance, issue 3, pages 56-61, September.
    6. Marcelo Alves Ramos & Joabe Gomes Melo & Ulysses Paulino Albuquerque, 2012. "Citation behavior in popular scientific papers: what is behind obscure citations? The case of ethnobotany," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 711-719, September.

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