IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v74y2008i3d10.1007_s11192-007-1586-2.html
   My bibliography  Save this article

A new approach to institutional domain analysis: Multilevel research fronts structure

Author

Listed:
  • Sandra Miguel

    (National University of La Plata)

  • Félix Moya-Anegón

    (University of Granada)

  • Víctor Herrero-Solana

    (University of Granada)

Abstract

The intellectual structure and main research fronts of the Faculty of Natural Sciences and Museum of the National University of La Plata, Argentina is studied, based on the cocitation analysis of subject categories, journals and authors of their scientific publications collected in the Science Citation Index, CD-ROM version, for the period 1991–2000. The objective of this study is to test the utility of those techniques to explore and to visualize the intellectual structure and research fronts of multidisciplinary institutional domains. Special emphasis is laid on the identification of multilevel structures, by means of arrangements of subject categories cocitation analysis and journal cocitation analysis.

Suggested Citation

  • Sandra Miguel & Félix Moya-Anegón & Víctor Herrero-Solana, 2008. "A new approach to institutional domain analysis: Multilevel research fronts structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(3), pages 331-344, March.
    • Handle: RePEc:spr:scient:v:74:y:2008:i:3:d:10.1007_s11192-007-1586-2
    DOI: 10.1007/s11192-007-1586-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-007-1586-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-007-1586-2?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. Sean B. Eom & Roy S. Farris, 1996. "The contributions of organizational science to the development of decision support systems research subspecialties," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 47(12), pages 941-952, December.
    2. Katherine W. McCain, 1984. "Longitudinal author cocitation mapping: The changing structure of macroeconomics," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 35(6), pages 351-359, November.
    3. Alan E. Bayer & John C. Smart & Gerald W. McLaughlin, 1990. "Mapping intellectual structure of a scientific subfield through author cocitations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 444-452, September.
    4. Henry Kreuzman, 2001. "A co-citation analysis of representative authors in philosophy: Examining the relationship between epistemologists and philosophers of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 525-539, July.
    5. William Paisley, 1990. "An oasis where many trails cross: The improbable cocitation networks of a multidiscipline," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 459-468, September.
    6. Katherine W. McCain, 1990. "Mapping authors in intellectual space: A technical overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 433-443, September.
    7. Katherine W. McCain, 1986. "Cocited author mapping as a valid representation of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(3), pages 111-122, May.
    8. Ming-yueh Tsay & Hong Xu & Chia-wen Wu, 2003. "Author co-citation analysis of semiconductor literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 529-545, November.
    9. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    10. Katherine W. McCain, 1988. "Evaluating cocited author search performance in a collaborative specialty," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 39(6), pages 428-431, November.
    11. Henry Kreuzman, 2001. "A co-citation analysis of representative authors in philosophy: Examining the relationship between epistemologists and philosophers of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 525-539, January.
    12. 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.
    13. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    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. Guo Chen & Lu Xiao & Chang-ping Hu & Xue-qin Zhao, 2015. "Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 707-724, May.
    2. Benedita Marta Gomes Costa & Edilson da Silva Pedro & Gorete Ribeiro Macedo, 2013. "Scientific collaboration in biotechnology: the case of the northeast region in Brazil," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 571-592, May.
    3. Feng, Feng & Zhang, Leiyong & Du, Yuneng & Wang, Weiguang, 2015. "Visualization and quantitative study in bibliographic databases: A case in the field of university–industry cooperation," Journal of Informetrics, Elsevier, vol. 9(1), pages 118-134.

    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. Markus Gmür, 2003. "Co-citation analysis and the search for invisible colleges: A methodological evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(1), pages 27-57, January.
    2. Georg Groh & Christoph Fuchs, 2011. "Multi-modal social networks for modeling scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 569-590, November.
    3. Dennys Eduardo Rossetto & Roberto Carlos Bernardes & Felipe Mendes Borini & Cristiane Chaves Gattaz, 2018. "Structure and evolution of innovation research in the last 60 years: review and future trends in the field of business through the citations and co-citations analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1329-1363, June.
    4. Eom, Sean B, 1998. "The Intellectual Development and Structure of Decision Support Systems (1991-1995)," Omega, Elsevier, vol. 26(5), pages 639-657, October.
    5. Antonio Rafael Ramos-Rodriguez & Salustiano Martinez-Fierro & Jose Aurelio Medina-Garrido & Jose Ruiz-Navarro, 2023. "Global Entrepreneurship Monitor versus Panel Study of Entrepreneurial Dynamics: comparing their intellectual structures," Papers 2401.13684, arXiv.org.
    6. Dzikowski, Piotr, 2018. "A bibliometric analysis of born global firms," Journal of Business Research, Elsevier, vol. 85(C), pages 281-294.
    7. Özgür Özmen Uysal, 2010. "Business Ethics Research with an Accounting Focus: A Bibliometric Analysis from 1988 to 2007," Journal of Business Ethics, Springer, vol. 93(1), pages 137-160, April.
    8. Mora, Luca & Deakin, Mark & Reid, Alasdair, 2019. "Combining co-citation clustering and text-based analysis to reveal the main development paths of smart cities," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 56-69.
    9. Li, Kai & Yan, Erjia, 2018. "Co-mention network of R packages: Scientific impact and clustering structure," Journal of Informetrics, Elsevier, vol. 12(1), pages 87-100.
    10. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    11. Pietronudo, Maria Cristina & Croidieu, Grégoire & Schiavone, Francesco, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    12. Ming-yueh Tsay & Tung-mei Shen & Ming-hsin Liang, 2016. "A comparison of citation distributions of journals and books on the topic “information society”," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 475-508, February.
    13. Pamela E. Sandstrom, 2001. "Scholarly communication as a socioecological system," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 573-605, July.
    14. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    15. Jianhua Hou, 2017. "Exploration into the evolution and historical roots of citation analysis by referenced publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1437-1452, March.
    16. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    17. William B. Gartner & Per Davidsson & Shaker A. Zahra, 2006. "Are you Talking to Me? The Nature of Community in Entrepreneurship Scholarship," Entrepreneurship Theory and Practice, , vol. 30(3), pages 321-331, May.
    18. Jun-Ping Qiu & Ke Dong & Hou-Qiang Yu, 2014. "Comparative study on structure and correlation among author co-occurrence networks in bibliometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1345-1360, November.
    19. Pamela E. Sandstrom, 2001. "Scholarly communication as a socioecological system," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 573-605, January.
    20. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.

    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:74:y:2008:i:3:d:10.1007_s11192-007-1586-2. 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.