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Distance and velocity measures: using citations to determine breadth and speed of research impact

Author

Listed:
  • Jon Garner

    (Search Technology, Inc)

  • Alan L. Porter

    (Search Technology, Inc
    Georgia Tech)

  • Nils C. Newman

    (IISC)

Abstract

Research that integrates the social and natural sciences is vital to address many societal challenges, yet is difficult to arrange, conduct, and disseminate. This paper compares diffusion of the research supported by a unique U.S. National Science Foundation program on Human and Social Dynamics (“HSD”) with a matched group of heavily cited papers. We offer a measure of the distance of cites between the Web of Science Category (“WoSC”) in which a publication appears and the WoSC of the journal citing it, and find that HSD publications are cited more distantly than are comparison publications. We provide another measure—citation velocity—finding that HSD publications are cited with similar lag times as are the comparison papers. These basic citation distance and velocity measures enrich analyses of research knowledge diffusion patterns.

Suggested Citation

  • Jon Garner & Alan L. Porter & Nils C. Newman, 2014. "Distance and velocity measures: using citations to determine breadth and speed of research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 687-703, September.
    • Handle: RePEc:spr:scient:v:100:y:2014:i:3:d:10.1007_s11192-014-1316-5
    DOI: 10.1007/s11192-014-1316-5
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    References listed on IDEAS

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    Cited by:

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    2. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    3. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    4. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
    5. Andrea Bonaccorsi & Nicola Melluso & Francesco Alessandro Massucci, 2022. "Exploring the antecedents of interdisciplinarity at the European Research Council: a topic modeling approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 6961-6991, December.
    6. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2018. "The early adulthood of the Asia Pacific Journal of Management: A literature review 2005–2014," Asia Pacific Journal of Management, Springer, vol. 35(2), pages 313-345, June.
    7. Stephen F. Carley & Seokbeom Kwon & Alan L. Porter & Jan L. Youtie, 2019. "The relationship between forward and backward diversity in CORE datasets," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 961-974, September.

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