IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v51y2001i3d10.1023_a1019690918490.html
   My bibliography  Save this article

Belver and Henry

Author

Listed:
  • Henry Small

    (Institute for Scientific Information)

Abstract

Despite the similarity of the above title to a movie of recent vintage, I do not want to give the impression that this is material for a Hollywood script about two guys who attempt to drive off a cliff. I undertake this account of my work with Belver Griffith, not so much as history, but more as personal therapy, reflection on a creative and sometimes difficult collaboration, and an opportunity to contrast our views.

Suggested Citation

  • Henry Small, 2001. "Belver and Henry," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 487-491, July.
    • Handle: RePEc:spr:scient:v:51:y:2001:i:3:d:10.1023_a:1019690918490
    DOI: 10.1023/A:1019690918490
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1019690918490
    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:1019690918490?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. 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.
    2. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    Full references (including those not matched with items on IDEAS)

    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. Shiau, Wen-Lung & Dwivedi, Yogesh K. & Yang, Han Suan, 2017. "Co-citation and cluster analyses of extant literature on social networks," International Journal of Information Management, Elsevier, vol. 37(5), pages 390-399.
    2. Vibhav Singh & Surabhi Verma & Sushil S. Chaurasia, 2020. "Mapping the themes and intellectual structure of corporate university: co-citation and cluster analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1275-1302, March.
    3. Henry Small, 2001. "Belver and Henry," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 487-491, January.
    4. Pradeep Kumar Hota & Balaji Subramanian & Gopalakrishnan Narayanamurthy, 2020. "Mapping the Intellectual Structure of Social Entrepreneurship Research: A Citation/Co-citation Analysis," Journal of Business Ethics, Springer, vol. 166(1), pages 89-114, September.
    5. Wen-Lung Shiau & Yogesh K. Dwivedi & Chia-Han Tsai, 2015. "Supply chain management: exploring the intellectual structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 215-230, October.
    6. Chabowski, Brian R. & Samiee, Saeed, 2023. "A bibliometric examination of the literature on emerging market MNEs as the basis for future research," Journal of Business Research, Elsevier, vol. 155(PB).
    7. Roger Shepard, 1974. "Representation of structure in similarity data: Problems and prospects," Psychometrika, Springer;The Psychometric Society, vol. 39(4), pages 373-421, December.
    8. Yanto Chandra, 2018. "Mapping the evolution of entrepreneurship as a field of research (1990–2013): A scientometric analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-24, January.
    9. Giovanna Boccuzzo & Licia Maron, 2017. "Proposal of a composite indicator of job quality based on a measure of weighted distances," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2357-2374, September.
    10. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    11. Guan-Can Yang & Gang Li & Chun-Ya Li & Yun-Hua Zhao & Jing Zhang & Tong Liu & Dar-Zen Chen & Mu-Hsuan Huang, 2015. "Using the comprehensive patent citation network (CPC) to evaluate patent value," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1319-1346, December.
    12. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    13. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    14. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    15. Pamela E. Sandstrom, 2001. "Scholarly communication as a socioecological system," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(3), pages 573-605, July.
    16. Jong-Seok Lee & Dan Zhu, 2012. "Shilling Attack Detection---A New Approach for a Trustworthy Recommender System," INFORMS Journal on Computing, INFORMS, vol. 24(1), pages 117-131, February.
    17. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    18. Andreas Bjurström & Merritt Polk, 2011. "Climate change and interdisciplinarity: a co-citation analysis of IPCC Third Assessment Report," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 525-550, June.
    19. Rey-Long Liu, 2017. "A new bibliographic coupling measure with descriptive capability," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 915-935, February.
    20. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.

    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:51:y:2001:i:3:d:10.1023_a:1019690918490. 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.