IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v58y2003i1d10.1023_a1025479524390.html
   My bibliography  Save this article

Seismology as a dynamic, distributed area of scientific research

Author

Listed:
  • Caroline S. Wagner

    (University of Amsterdam)

  • Loet Leydesdorff

    (University of Amsterdam)

Abstract

Seismology has several features that suggest it is a highly internationalized field: the subject matter is global, the tools used to analyse seismic waves are dependent upon information technologies, and governments are interested in funding cooperative research. We explore whether an emerging field like seismology has a more internationalised structure than the older, related field of geophysics. Using aggregated journal-journal citations, we first show that, within the citing environment, seismology emerged from within geophysics as its own field in the 1990s. The bibliographic analysis, however, does not show that seismology is more internationalised than geophysics: in 2000, seismology had a lower percentage of all articles co-authored on an international basis. Nevertheless, social network analysis shows that the core group of cooperating countries within seismology is proportionately larger and more distributed than that within geophysics. While the latter exhibits an established network with a hierarchy, the formation of a field in terms of new partnership relations is ongoing in seismology.

Suggested Citation

  • Caroline S. Wagner & Loet Leydesdorff, 2003. "Seismology as a dynamic, distributed area of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(1), pages 91-114, September.
  • Handle: RePEc:spr:scient:v:58:y:2003:i:1:d:10.1023_a:1025479524390
    DOI: 10.1023/A:1025479524390
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1025479524390
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1023/A:1025479524390?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mark P. Carpenter & Francis Narin, 1973. "Clustering of scientific journals," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(6), pages 425-436, November.
    2. Patrick Doreian & Thomas J. Fararo, 1985. "Structural equivalence in a journal network," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 36(1), pages 28-37, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Julia Melkers & Agrita Kiopa, 2010. "The Social Capital of Global Ties in Science: The Added Value of International Collaboration," Review of Policy Research, Policy Studies Organization, vol. 27(4), pages 389-414, July.
    2. Mario Coccia, 2020. "The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 451-487, July.
    3. Neil C. Mitchell, 2020. "Comparing the post-WWII publication histories of oceanography and marine geoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 843-866, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Leydesdorff, Loet & Gauthier, Elaine, 1996. "The evaluation of national performance in selected priority areas using scientometric methods," Research Policy, Elsevier, vol. 25(3), pages 431-450, May.
    2. 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.
    3. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    4. Cristiano Varin & Manuela Cattelan & David Firth, 2016. "Statistical modelling of citation exchange between statistics journals," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 1-63, January.
    5. Wilfred Dolfsma & Loet Leydesdorff, 2010. "The citation field of evolutionary economics," Journal of Evolutionary Economics, Springer, vol. 20(5), pages 645-664, October.
    6. Gabriele Sampagnaro, 2023. "Keyword occurrences and journal specialization," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5629-5645, October.
    7. 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.
    8. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    9. Loet Leydesdorff & Ping Zhou & Lutz Bornmann, 2013. "How can journal impact factors be normalized across fields of science? An assessment in terms of percentile ranks and fractional counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 96-107, January.
    10. Michael Brusco & Patrick Doreian, 2015. "An Exact Algorithm for the Two-Mode KL-Means Partitioning Problem," Journal of Classification, Springer;The Classification Society, vol. 32(3), pages 481-515, October.
    11. E. Bassecoulard & M. Zitt, 1999. "Indicators in a research institute: A multi-level classification of scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 323-345, March.
    12. Hakyeon Lee, 2015. "Uncovering the multidisciplinary nature of technology management: journal citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 51-75, January.
    13. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    14. Pieters, R. & Baumgartner, H. & Vermunt, J.K. & Bijmolt, T.H.A., 1998. "Importance, Cohesion and Structural Equivalence in the Evolving Citation Network of the International Journal of Research in Marketing," Discussion Paper 1998-99, Tilburg University, Center for Economic Research.
    15. András Schubert, 2010. "A reference-based Hirschian similarity measure for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 133-147, July.
    16. Pieters, R. & Baumgartner, H. & Vermunt, J.K. & Bijmolt, T.H.A., 1998. "Importance, Cohesion and Structural Equivalence in the Evolving Citation Network of the International Journal of Research in Marketing," Other publications TiSEM 080e429b-d111-437e-9af3-5, Tilburg University, School of Economics and Management.
    17. Zhang, Lin & Liu, Xinhai & Janssens, Frizo & Liang, Liming & Glänzel, Wolfgang, 2010. "Subject clustering analysis based on ISI category classification," Journal of Informetrics, Elsevier, vol. 4(2), pages 185-193.
    18. Loet Leydesdorff, 2002. "Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 131-159, January.
    19. Lawrence D. Brown & John C. Gardner & Miklos A. Vasarhelyi, 1989. "Attributes of articles impacting contemporary accounting literature," Contemporary Accounting Research, John Wiley & Sons, vol. 5(2), pages 793-815, March.
    20. Xie, Yundong & Wu, Qiang & Zhang, Peng & Li, Xingchen, 2020. "Information Science and Library Science (IS-LS) journal subject categorisation and comparison based on editorship information," Journal of Informetrics, Elsevier, vol. 14(4).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:58:y:2003:i:1:d:10.1023_a:1025479524390. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.