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Bibliometric analysis across eight years 2008–2015 of Intelligence articles: An updating of Wicherts (2009)

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  • Pesta, Bryan J.

Abstract

I update and expand upon Wicherts' (2009) editorial in Intelligence. He reported citation counts of papers published in this journal from 1977 to 2007. All these papers are now at least a decade old, and many more new articles have been published since Wichert's analysis. An updated study is needed to help (1) quantify the journal's more recent impact on the scientific study of intelligence, and (2) alert researchers and educators to highly-cited articles; especially newer ones. Thus, I conducted a bibliometric analysis of all articles published here from 2008 to 2015. Data sources included both the Web of Science (WOS), and Google Scholar (GS). The eight-year set comprised 619 articles, published by 1897 authors. The average article had 17.0 (WOS), and 32.9 (GS) citations overall (2.75, and 5.33 citations per year, respectively). These metrics compare favorably with those from other psychology journals. In addition, a list of the most prolific authors is provided. Also reported is a list showing many articles in this set with counts greater than one hundred, and an updated top 25 list for the history of this journal.

Suggested Citation

  • Pesta, Bryan J., 2018. "Bibliometric analysis across eight years 2008–2015 of Intelligence articles: An updating of Wicherts (2009)," Intelligence, Elsevier, vol. 67(C), pages 26-32.
    • Handle: RePEc:eee:intell:v:67:y:2018:i:c:p:26-32
    DOI: 10.1016/j.intell.2018.01.001
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    References listed on IDEAS

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    1. Juan E. Iglesias & Carlos Pecharromán, 2007. "Scaling the h-index for different scientific ISI fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 303-320, December.
    2. Massimo Franceschet, 2010. "A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 243-258, April.
    3. Dag W. Aksnes & Gunnar Sivertsen, 2004. "The effect of highly cited papers on national citation indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 213-224, February.
    4. Nabil Amara & Réjean Landry, 2012. "Counting citations in the field of business and management: why use Google Scholar rather than the Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 553-581, December.
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    Cited by:

    1. Gerson Pech & Catarina Delgado, 2020. "Percentile and stochastic-based approach to the comparison of the number of citations of articles indexed in different bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 223-252, April.
    2. Maria Terskova & Elena Agadullina, 2018. "Perceived Intelligence And Long-Term Stigmatization Of Dirty Workers," HSE Working papers WP BRP 95/PSY/2018, National Research University Higher School of Economics.

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