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Improving the functionality of interactive bibliometric science maps

Author

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  • Renald K. Buter

    (Leiden University)

  • Ed C. M. Noyons

    (Leiden University)

Abstract

The use of a map as a metaphor of a scientific field is an established idea and using it as aninterface to bibliometric data seems to have great potential. Nevertheless, our own implementationof such an interface came up with some limits inhibiting the user to comprehend as to what hewas looking at. As a result, the map was not used to its fullest potential. The implementationdescribed in this paper as a high-level (conceptual) design, addresses the problems noted by users.It combines both top-down and bottom-up access to the bibliometric data, something we see asvital to mapping internal knowledge onto the external depiction and vice versa. And as such, itbecomes a more complete tool to explore the mapped scientific field and to find and retrieverelevant information.

Suggested Citation

  • Renald K. Buter & Ed C. M. Noyons, 2001. "Improving the functionality of interactive bibliometric science maps," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 55-68, April.
    • Handle: RePEc:spr:scient:v:51:y:2001:i:1:d:10.1023_a:1010560527236
    DOI: 10.1023/A:1010560527236
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    References listed on IDEAS

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    1. E. C. M. Noyons & A. F. J. van Raan, 1998. "Monitoring scientific developments from a dynamic perspective: Self‐organized structuring to map neural network research," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 68-81.
    2. Xia Lin, 1997. "Map displays for information retrieval," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(1), pages 40-54, January.
    3. Healey, Peter & Rothman, Harry & Hoch, Paul K., 1986. "An experiment in science mapping for research planning," Research Policy, Elsevier, vol. 15(5), pages 233-251, October.
    4. Martin Brooks & Jennifer Campbell, 1999. "Interactive graphical queries for bibliographic search," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 814-825.
    5. Henry Small, 1999. "Visualizing science by citation mapping," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 799-813.
    6. H. Schwechheimer & M. Winterhager, 1999. "Highly dynamic specialities in climate research," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 547-560, March.
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    Cited by:

    1. Yuen-Hsien Tseng & Ming-Yueh Tsay, 2013. "Journal clustering of library and information science for subfield delineation using the bibliometric analysis toolkit: CATAR," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 503-528, May.
    2. Félix Moya-Anegón & Benjamín Vargas-Quesada & Victor Herrero-Solana & Zaida Chinchilla-Rodríguez & Elena Corera-Álvarez & Francisco J. Munoz-Fernández, 2004. "A new technique for building maps of large scientific domains based on the cocitation of classes and categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 129-145, September.
    3. Reindert K. Buter & Ed. C. M. Noyons & Anthony F. J. Raan, 2011. "Searching for converging research using field to field citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 325-338, February.

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