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Mapping the structure and evolution of chemistry research

Author

Listed:
  • Kevin W. Boyack

    (Sandia National Laboratories
    SciTech Strategies, Inc.)

  • Katy Börner

    (Indiana University)

  • Richard Klavans

    (SciTech Strategies, Inc.)

Abstract

How does our collective scholarly knowledge grow over time? What major areas of science exist and how are they interlinked? Which areas are major knowledge producers; which ones are consumers? Computational scientometrics — the application of bibliometric/scientometric methods to large-scale scholarly datasets — and the communication of results via maps of science might help us answer these questions. This paper represents the results of a prototype study that aims to map the structure and evolution of chemistry research over a 30 year time frame. Information from the combined Science (SCIE) and Social Science (SSCI) Citations Indexes from 2002 was used to generate a disciplinary map of 7,227 journals and 671 journal clusters. Clusters relevant to study the structure and evolution of chemistry were identified using JCR categories and were further clustered into 14 disciplines. The changing scientific composition of these 14 disciplines and their knowledge exchange via citation linkages was computed. Major changes on the dominance, influence, and role of Chemistry, Biology, Biochemistry, and Bioengineering over these 30 years are discussed. The paper concludes with suggestions for future work.

Suggested Citation

  • Kevin W. Boyack & Katy Börner & Richard Klavans, 2009. "Mapping the structure and evolution of chemistry research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 45-60, April.
    • Handle: RePEc:spr:scient:v:79:y:2009:i:1:d:10.1007_s11192-009-0403-5
    DOI: 10.1007/s11192-009-0403-5
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    1. I. Samoylenko & T.‐C. Chao & W.‐C. Liu & C.‐M. Chen, 2006. "Visualizing the scientific world and its evolution," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(11), pages 1461-1469, September.
    2. Ying Ding & Gobinda G. Chowdhury & Schubert Foo, 2000. "Journal as Markers of Intellectual Space: Journal Co-Citation Analysis of Information Retrieval Area, 1987–1997," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(1), pages 55-73, January.
    3. Richard Klavans & Kevin W. Boyack, 2006. "Quantitative evaluation of large maps of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 475-499, September.
    4. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    5. Kevin W. Boyack & Richard Klavans & Katy Börner, 2005. "Mapping the backbone of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 351-374, August.
    6. 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.
    7. Loet Leydesdorff, 2004. "Top-down decomposition of the Journal Citation Reportof the Social Science Citation Index: Graph- and factor-analytical approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 159-180, June.
    8. Francis Narin & Mark Carpenter & Nancy C. Berlt, 1972. "Interrelationships of scientific journals," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 23(5), pages 323-331, September.
    9. Ming-yueh Tsay & Hong Xu & Chia-wen Wu, 2003. "Journal co-citation analysis of semiconductor literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(1), pages 7-25, May.
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