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Slow reception and under-citedness in climate change research: A case study of Charles David Keeling, discoverer of the risk of global warming

Author

Listed:
  • Werner Marx

    (Max Planck Institute for Solid State Research)

  • Robin Haunschild

    (Max Planck Institute for Solid State Research)

  • Bernie French

    (CAS (Chemical Abstracts Service), a division of the American Chemical Society)

  • Lutz Bornmann

    (Administrative Headquarters of the Max Planck Society)

Abstract

The Keeling curve has become a chemical landmark, whereas the papers by Charles David Keeling about the underlying carbon dioxide measurements are not cited as often as can be expected against the backdrop of his final approval. In this bibliometric study, we analyze Keeling’s papers as a case study for under-citedness of climate change publications. Three possible reasons for the under-citedness of Keeling’s papers are discussed: (1) The discourse on global cooling at the starting time of Keeling’s measurement program, (2) the underestimation of what is often seen as “routine science”, and (3) the amount of implicit/informal citations at the expense of explicit/formal (reference-based) citations. Those reasons may have contributed more or less to the slow reception and the under-citedness of Keeling’s seminal works.

Suggested Citation

  • Werner Marx & Robin Haunschild & Bernie French & Lutz Bornmann, 2017. "Slow reception and under-citedness in climate change research: A case study of Charles David Keeling, discoverer of the risk of global warming," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1079-1092, August.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:2:d:10.1007_s11192-017-2405-z
    DOI: 10.1007/s11192-017-2405-z
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    References listed on IDEAS

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    1. Katherine W. McCain, 2012. "Assessing Obliteration by Incorporation: Issues and Caveats," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(11), pages 2129-2139, November.
    2. Comins, Jordan A. & Hussey, Thomas W., 2015. "Compressing multiple scales of impact detection by Reference Publication Year Spectroscopy," Journal of Informetrics, Elsevier, vol. 9(3), pages 449-454.
    3. Werner Marx & Lutz Bornmann & Andreas Barth & Loet Leydesdorff, 2014. "Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 751-764, April.
    4. Anthony F. J. van Raan, 2004. "Sleeping Beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 467-472, March.
    5. Werner Marx & Robin Haunschild & Andreas Thor & Lutz Bornmann, 2017. "Which early works are cited most frequently in climate change research literature? A bibliometric approach based on Reference Publication Year Spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 335-353, January.
    6. Werner Marx & Lutz Bornmann, 2013. "The emergence of plate tectonics and the Kuhnian model of paradigm shift: a bibliometric case study based on the Anna Karenina principle," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 595-614, February.
    7. Hu, Xiaojun & Rousseau, Ronald, 2016. "Scientific influence is not always visible: The phenomenon of under-cited influential publications," Journal of Informetrics, Elsevier, vol. 10(4), pages 1079-1091.
    8. Katherine W. McCain, 2012. "Assessing Obliteration by Incorporation: Issues and Caveats," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(11), pages 2129-2139, November.
    9. Thor, Andreas & Marx, Werner & Leydesdorff, Loet & Bornmann, Lutz, 2016. "Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization," Journal of Informetrics, Elsevier, vol. 10(2), pages 503-515.
    10. Werner Marx & Lutz Bornmann, 2014. "Tracing the origin of a scientific legend by reference publication year spectroscopy (RPYS): the legend of the Darwin finches," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 839-844, June.
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