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Do Important Papers Produce High Citation Counts?

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  • Helmut A. Abt

    (Kitt Peak National Observatory)

Abstract

In honor of the centennial of the American Astronomical Society, we asked 53 senior astronomers to select what they thought were the most important papers published in the Astronomical Journal or Astrophysical Journal during this century. This selection of important papers gives us the opportunity to determine whether important papers invariably produce high citation counts. We compared those papers with control papers that appeared immediately before and after the important papers. We found that the important papers published before 1950 produced 11 times as many citations on the average as the controls and after 1950, 5.1 times as many citations. Of the important papers, 92% produced more citations than the average for the control papers. Therefore important papers almost invariably produce many more citations than others, and citation counts are good measures of importance or usefulness. An appraisal of the 53 papers is that three are primarily useful collections of data or descriptions, 46 are fundamental studies giving important results, and four are both useful and fundamental. The lifetimes of all 53 important papers average 2.5 times longer than for the controls. The ages of the authors of these important papers ranged from 23 to 70, with a mean of 39±11 years, indicating that astronomers can write important papers at any age.

Suggested Citation

  • Helmut A. Abt, 2000. "Do Important Papers Produce High Citation Counts?," Scientometrics, Springer;Akadémiai Kiadó, vol. 48(1), pages 65-70, June.
  • Handle: RePEc:spr:scient:v:48:y:2000:i:1:d:10.1023_a:1005680318379
    DOI: 10.1023/A:1005680318379
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    Cited by:

    1. Nils Omland, 2011. "Valuing Patents through Indicators," Chapters, in: Federico Munari & Raffaele Oriani (ed.), The Economic Valuation of Patents, chapter 7, Edward Elgar Publishing.
    2. Antonio Fernández-Cano & Ángel Bueno, 2002. "Multivariate evaluation of Spanish educational research journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(1), pages 87-102, September.
    3. Helmut A. Abt, 2007. "The publication rate of scientific papers depends only on the number of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 281-288, December.
    4. Werner Marx & Lutz Bornmann, 2010. "How accurately does Thomas Kuhn’s model of paradigm change describe the transition from the static view of the universe to the big bang theory in cosmology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 441-464, August.
    5. Costanza, Robert & Stern, David & Fisher, Brendan & He, Lining & Ma, Chunbo, 2004. "Influential publications in ecological economics: a citation analysis," Ecological Economics, Elsevier, vol. 50(3-4), pages 261-292, October.
    6. Sung-Soo Seol & Jung-Min Park, 2008. "Knowledge sources of innovation studies in Korea: A citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(1), pages 3-20, April.
    7. Nobuko Miyairi & Han-Wen Chang, 2012. "Bibliometric characteristics of highly cited papers from Taiwan, 2000–2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 197-205, July.
    8. Mario de Marchi & Maurizio Rocchi, 2001. "The editorial policies of scientific journals: Testing an impact factor model," Scientometrics, Springer;Akadémiai Kiadó, vol. 51(2), pages 395-404, June.
    9. Saikou Y. Diallo & Christopher J. Lynch & Ross Gore & Jose J. Padilla, 2016. "Identifying key papers within a journal via network centrality measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1005-1020, June.
    10. Zheng Xie & Yanwu Li & Zhemin Li, 2020. "Assessing and predicting the quality of research master’s theses: an application of scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 953-972, August.

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