IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v59y2004i1d10.1023_bscie.0000013302.59845.34.html
   My bibliography  Save this article

Bibliometric overview of the utilization of artificial neural networks in medicine and biology

Author

Listed:
  • Robert Claude

    (Université René)

  • Arreto Charles-Daniel

    (Université René)

  • Azerad Jean

    (Université Denis Diderot, Laboratoire de Physiologie de la manducation Paris ()

  • Gaudy Jean-Francois

    (Université Denis Diderot, Laboratoire de Physiologie de la manducation Paris ()

Abstract

The distribution of articles involving artificial neural networks (ANN) in the fields of medicine and biology and appearing in the ISI (Institute for Scientific Information) databases during the period 2000-2001 was analysed. The following parameters were considered: the number of articles, the total impact factor, the ISI journal category, the source country population, and the gross domestic product. Among the 803 articles and the 49 countries considered, the 5 most prolific (in term of the number of publications) were the USA, The United Kingdom, Germany, Italy, and Canada; other active countries included Sweden, Netherlands, Spain, France, Japan, and China. Comparison between the USA and the European Union, and the distribution of ANN publications among the subdisciplines of the life sciences and clinical medicine are also presented.

Suggested Citation

  • Robert Claude & Arreto Charles-Daniel & Azerad Jean & Gaudy Jean-Francois, 2004. "Bibliometric overview of the utilization of artificial neural networks in medicine and biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(1), pages 117-130, January.
  • Handle: RePEc:spr:scient:v:59:y:2004:i:1:d:10.1023_b:scie.0000013302.59845.34
    DOI: 10.1023/B:SCIE.0000013302.59845.34
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/B:SCIE.0000013302.59845.34
    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/B:SCIE.0000013302.59845.34?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. Wolfgang Glänzel & András Schubert & Tibor Braun, 2002. "A relational charting approach to the world of basic research in twelve science fields at the end of the second millennium," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(3), pages 335-348, November.
    2. Thed N. Van Leeuwen & Henk F. Moed & Robert J. W. Tijssen & Martijn S. Visser & Anthony F. J. Van Raan, 2001. "Language biases in the coverage of the Science Citation Index and its consequencesfor international comparisons of national research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(1), pages 335-346, April.
    3. Donatella Ugolini & Marco Amedeo Cimmino & Cristina Casilli & Giuseppe Sandro Mela, 2001. "How the European Union writes about ophthalmology," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(1), pages 45-58, September.
    4. E C M Noyons & A F J van Raan, 1996. "Actor analysis in neural network research: the position of Germany," Research Evaluation, Oxford University Press, vol. 6(2), pages 133-142, August.
    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. Claude Robert & Concepción S. Wilson & Jean-François Gaudy & Charles-Daniel Arreto, 2006. "A snapshot of EU publications in sleep research: A scientometric survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 385-405, June.
    2. Chi, Yuxue & Tang, Xianyi & Liu, Yijun, 2022. "Exploring the “awakening effect” in knowledge diffusion: a case study of publications in the library and information science domain," Journal of Informetrics, Elsevier, vol. 16(4).
    3. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    4. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2010. "A comparison of the scientific performance of the U.S. and the European union at the turn of the 21st century," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 329-344, October.
    5. Claude Robert & Concepción S. Wilson & Stéphane Donnadieu & Jean-François Gaudy & Charles-Daniel Arreto, 2009. "Analysis of the medical and biological pain research literature in the European Union: A 2006 snapshot," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 693-716, September.
    6. Goodall, Amanda H., 2009. "Highly cited leaders and the performance of research universities," Research Policy, Elsevier, vol. 38(7), pages 1079-1092, September.
    7. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    8. Juan A Crespo & Ignacio Ortuño-Ortín & Javier Ruiz-Castillo, 2012. "The Citation Merit of Scientific Publications," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-9, November.
    9. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    10. Henk F. Moed, 2002. "Measuring China"s research performance using the Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 281-296, March.
    11. Li, Jiang & Qiao, Lili & Li, Wenyuze & Jin, Yidan, 2014. "Chinese-language articles are not biased in citations: Evidences from Chinese-English bilingual journals in Scopus and Web of Science," Journal of Informetrics, Elsevier, vol. 8(4), pages 912-916.
    12. Maziar Montazerian & Edgar Dutra Zanotto & Hellmut Eckert, 2019. "A new parameter for (normalized) evaluation of H-index: countries as a case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1065-1078, March.
    13. Murat Perit Çakır & Cengiz Acartürk & Oğuzhan Alaşehir & Canan Çilingir, 2015. "A comparative analysis of global and national university ranking systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 813-848, June.
    14. Yutao Sun & Seamus Grimes, 2016. "The emerging dynamic structure of national innovation studies: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 17-40, January.
    15. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    16. Wolfgang Glänzel & Balázs Schlemmer & Bart Thijs, 2003. "Better late than never? On the chance to become highly cited only beyond the standard bibliometric time horizon," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 571-586, November.
    17. Martín-Martín, Alberto & Orduna-Malea, Enrique & Thelwall, Mike & Delgado López-Cózar, Emilio, 2018. "Google Scholar, Web of Science, and Scopus: A systematic comparison of citations in 252 subject categories," Journal of Informetrics, Elsevier, vol. 12(4), pages 1160-1177.
    18. Gennaro Guida, 2018. "Italian Economics Departments’ Scientific Research Performance: Comparison between VQR and ASN Methodologies," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(9), pages 182-182, August.
    19. Wolfgang Glänzel & Bart Thijs, 2004. "The influence of author self-citations on bibliometric macro indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 281-310, March.
    20. Peter Ingwersen & Daisy Jacobs, 2004. "South African research in selected scientific areas: Status 1981–2000," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 405-423, March.

    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:59:y:2004:i:1:d:10.1023_b:scie.0000013302.59845.34. 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.