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Citation context versus the frequency counts of citation histories

Author

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  • Siniša Maričić
  • Jagoda Spaventi
  • Leo Pavičić
  • Greta Pifat‐Mrzljak

Abstract

Over 200 papers produced by a multidisciplinary institute in a ten‐year period were analyzed for the context of the citations they received during the 21‐year period since their publication. They were grouped into 28 research topics from physics, chemistry, to biology, some half a dozen papers per topic on the average. Eleven percent of all the citing papers comprised the sample for the context analysis: one citing per each cited paper. Sets of citing papers of each research topic were taken as units in the analysis. The context of citation was defined by (i) a structural factor, i.e., the location at which the citations occurred within the citing articles, and (ii) an intensity factor, i.e., the level of citing, which was recorded as either low or high. From (i) solely, a ranking scale was devised by arbitrary ponders, whereas from (ii) another arbitrary scale was constructed by a 2:1 ratio for high‐to‐low citing. The two approaches, citing location (i) and intensity (ii), were also combined into an ordinal scale without any arbitrary numerical pondering. The 28 research topics were ranked by Z‐scores within each of the three scales and separately for the first and the second decade of citation recordings. The congruence of the ranking was very satisfactory between the three scales for each of the two decades of citing. However, very definite trends in the rankings are noted between the two decades, the trends being quite similar irrespective of the ranking scale applied. The ranking is believed to be a function of the importance of the cited papers for those citing them. When these citation‐context‐ranking results were compared with the ranking of the research topics by citation frequency counts, no congruence was observed. © 1998 John Wiley & Sons, Inc.

Suggested Citation

  • Siniša Maričić & Jagoda Spaventi & Leo Pavičić & Greta Pifat‐Mrzljak, 1998. "Citation context versus the frequency counts of citation histories," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(6), pages 530-540.
    • Handle: RePEc:bla:jamest:v:49:y:1998:i:6:p:530-540
    DOI: 10.1002/(SICI)1097-4571(19980501)49:63.0.CO;2-8
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    Cited by:

    1. Sziklai, Balázs R., 2021. "Ranking institutions within a discipline: The steep mountain of academic excellence," Journal of Informetrics, Elsevier, vol. 15(2).
    2. Raja Habib & Muhammad Tanvir Afzal, 2019. "Sections-based bibliographic coupling for research paper recommendation," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 643-656, May.
    3. Matthias Sebastian Rüdiger & David Antons & Torsten-Oliver Salge, 2021. "The explanatory power of citations: a new approach to unpacking impact in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9779-9809, December.
    4. Indra Budi & Yaniasih Yaniasih, 2023. "Understanding the meanings of citations using sentiment, role, and citation function classifications," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 735-759, January.
    5. Liyue Chen & Jielan Ding & Vincent Larivière, 2022. "Measuring the citation context of national self‐references," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(5), pages 671-686, May.
    6. Lina Zhou & Uchechukwuka Amadi & Dongsong Zhang, 2020. "Is Self-Citation Biased? An Investigation via the Lens of Citation Polarity, Density, and Location," Information Systems Frontiers, Springer, vol. 22(1), pages 77-90, February.
    7. Yaniasih Yaniasih & Indra Budi, 2021. "Systematic Design and Evaluation of a Citation Function Classification Scheme in Indonesian Journals," Publications, MDPI, vol. 9(3), pages 1-14, June.
    8. Mike Thelwall, 2019. "Are classic references cited first? An analysis of citation order within article sections," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 723-731, August.
    9. Zhang, Chengzhi & Liu, Lifan & Wang, Yuzhuo, 2021. "Characterizing references from different disciplines: A perspective of citation content analysis," Journal of Informetrics, Elsevier, vol. 15(2).
    10. Toluwase Victor Asubiaro & Isola Ajiferuke, 2022. "Semantic similarity-based credit attribution on citation paths: a method for allocating residual citation to and investigating depth of influence of scientific communications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6257-6277, November.

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