IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v81y2009i2d10.1007_s11192-008-2141-5.html
   My bibliography  Save this article

Rejecting and resisting Nobel class discoveries: accounts by Nobel Laureates

Author

Listed:
  • Juan Miguel Campanario

    (Universidad de Alcalá)

Abstract

I review and discuss instances in which 19 future Nobel Laureates encountered resistance on the part of the scientific community towards their discoveries, and instances in which 24 future Nobel Laureates encountered resistance on the part of scientific journal editors or referees to manuscripts that dealt with discoveries that later would earn them the Nobel Prize.

Suggested Citation

  • Juan Miguel Campanario, 2009. "Rejecting and resisting Nobel class discoveries: accounts by Nobel Laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 549-565, November.
    • Handle: RePEc:spr:scient:v:81:y:2009:i:2:d:10.1007_s11192-008-2141-5
    DOI: 10.1007/s11192-008-2141-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-008-2141-5
    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/s11192-008-2141-5?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. Juan Miguel Campanario & Erika Acedo, 2007. "Rejecting highly cited papers: The views of scientists who encounter resistance to their discoveries from other scientists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(5), pages 734-743, March.
    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. Osterloh, Margit & Frey, Bruno S., 2020. "How to avoid borrowed plumes in academia," Research Policy, Elsevier, vol. 49(1).
    2. Marco Seeber, 2020. "How do journals of different rank instruct peer reviewers? Reviewer guidelines in the field of management," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1387-1405, March.
    3. Julián D. Cortés & Daniel A. Andrade, 2022. "Winners and runners-up alike?—a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    4. Elisabeth Maria Schlagberger & Lutz Bornmann & Johann Bauer, 2016. "At what institutions did Nobel laureates do their prize-winning work? An analysis of biographical information on Nobel laureates from 1994 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 723-767, November.
    5. Marco Seeber & Alberto Bacchelli, 2017. "Does single blind peer review hinder newcomers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 567-585, October.
    6. Thomas Heinze, 2013. "Creative accomplishments in science: definition, theoretical considerations, examples from science history, and bibliometric findings," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 927-940, June.
    7. Louis Mesnard, 2010. "On Hochberg et al.’s “The tragedy of the reviewer commons”," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 903-917, September.
    8. Rodríguez Sánchez, Isabel & Makkonen, Teemu & Williams, Allan M., 2019. "Peer review assessment of originality in tourism journals: critical perspective of key gatekeepers," Annals of Tourism Research, Elsevier, vol. 77(C), pages 1-11.
    9. Alonso Rodríguez-Navarro & Ricardo Brito, 2019. "Probability and expected frequency of breakthroughs: basis and use of a robust method of research assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 213-235, April.
    10. Callaghan, Christian William, 2021. "Growth contributions of technological change: Is there a burden of knowledge effect?," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    11. Sepideh Fahimifar & Elmira Janavi & Fatemeh Fadaei, 2024. "Awakening the beauty: a journey through dormant gems in strategic management literature," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3331-3362, August.
    12. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha & Ajith Abraham, 2020. "Nature or Science: what Google Trends says," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1367-1385, August.
    13. Mund, Carolin & Neuhäusler, Peter, 2015. "Towards an early-stage identification of emerging topics in science—The usability of bibliometric characteristics," Journal of Informetrics, Elsevier, vol. 9(4), pages 1018-1033.
    14. Christoph Bartneck, 2017. "Reviewers’ scores do not predict impact: bibliometric analysis of the proceedings of the human–robot interaction conference," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 179-194, January.
    15. Lyudmyla Shkulipa, 2021. "Evaluation of accounting journals by coverage of accounting topics in 2018–2019," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7251-7327, September.

    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. Jacqueline N. Lane & Ina Ganguli & Patrick Gaule & Eva Guinan & Karim R. Lakhani, 2021. "Engineering serendipity: When does knowledge sharing lead to knowledge production?," Strategic Management Journal, Wiley Blackwell, vol. 42(6), pages 1215-1244, June.
    2. Thomas Heinze, 2013. "Creative accomplishments in science: definition, theoretical considerations, examples from science history, and bibliometric findings," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 927-940, June.
    3. Stephen A Gallo & Joanne H Sullivan & Scott R Glisson, 2016. "The Influence of Peer Reviewer Expertise on the Evaluation of Research Funding Applications," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-18, October.
    4. Si Shen & Ronald Rousseau & Dongbo Wang & Danhao Zhu & Huoyu Liu & Ruilun Liu, 2015. "Editorial delay and its relation to subsequent citations: the journals Nature, Science and Cell," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1867-1873, December.
    5. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
    6. Rodrigo Costas & Thed N. Leeuwen & Anthony F. J. Raan, 2011. "The “Mendel syndrome” in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 177-205, October.
    7. Cassidy R. Sugimoto & Blaise Cronin, 2013. "Citation gamesmanship: testing for evidence of ego bias in peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 851-862, June.
    8. Marco Seeber & Jef Vlegels & Mattia Cattaneo, 2022. "Conditions that do or do not disadvantage interdisciplinary research proposals in project evaluation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1106-1126, August.
    9. Kevin J. Boudreau & Eva C. Guinan & Karim R. Lakhani & Christoph Riedl, 2016. "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance, Novelty, and Resource Allocation in Science," Management Science, INFORMS, vol. 62(10), pages 2765-2783, October.
    10. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.

    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:81:y:2009:i:2:d:10.1007_s11192-008-2141-5. 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.