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Bibliometric techniques applied to issues management: A case study

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  • F. W. Lancaster
  • Ja‐Lih Lee

Abstract

Online data bases can be used to track the growth of the literature on some topic and to follow the diffusion of the topic through data bases of various types. This type of tracking may be valuable in identifying topics likely to become significant socOnline data bases can be used to track the growth of the literature on some topic and to follow the diffusion of the topic through data bases of various types. This type of tracking may be valuable in identifying topics likely to become significant social or technological “issues”; it might therefore become a useful tool in issues management. A case study on the subject of acid rain is describe it might therefore become a useful tool in issues management. A case study on the subject of acid rain is described.

Suggested Citation

  • F. W. Lancaster & Ja‐Lih Lee, 1985. "Bibliometric techniques applied to issues management: A case study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 36(6), pages 389-397, November.
    • Handle: RePEc:bla:jamest:v:36:y:1985:i:6:p:389-397
    DOI: 10.1002/asi.4630360608
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    Citations

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    Cited by:

    1. Edgar Schiebel & Marianne Hörlesberger & Ivana Roche & Claire François & Dominique Besagni, 2010. "An advanced diffusion model to identify emergent research issues: the case of optoelectronic devices," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 765-781, June.
    2. Zahed Bigdeli & Morteza Kokabi & Gholam Reza Rajabi & Ali Gazni, 2013. "Patterns of authors’ information scattering: towards a causal explanation of information scattering from a scholarly information-seeking behavior perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 103-131, July.
    3. Terttu A. M. Kortelainen, 2001. "Studying the international diffusion of a national scientific journal," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 133-146, April.
    4. Zehra Taşkın & Arsev U. Aydinoglu, 2015. "Collaborative interdisciplinary astrobiology research: a bibliometric study of the NASA Astrobiology Institute," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1003-1022, June.
    5. William W. Hood & Concepción S. Wilson, 2002. "Analysis of the fuzzy set literature using phrases," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(1), pages 103-118, April.
    6. William W. Hood & Concepción S. Wilson, 2003. "Informetric studies using databases: Opportunities and challenges," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 587-608, November.
    7. Peter Ingwersen & Antonio Eleazar Serrano-López, 2018. "Smart city research 1990–2016," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1205-1236, November.
    8. Jeong, Do-Heon & Song, Min, 2014. "Time gap analysis by the topic model-based temporal technique," Journal of Informetrics, Elsevier, vol. 8(3), pages 776-790.
    9. Lennart Björneborn & Peter Ingwersen, 2001. "Perspective of webometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(1), pages 65-82, January.
    10. W. W. Hood & Concepción S. Wilson, 1999. "The distribution of bibliographic records in databases using different counting methods for duplicate records," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 473-486, November.

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