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An empirical analysis of the relationship between individual characteristics and research productivity

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  • Naomi Fukuzawa

    (Ministry of Education, Culture, Sports, Science and Technology)

Abstract

This paper provides an analysis of the relationship between research performance and individual characteristics (e.g., career path information) of researchers, based on information provided in the curriculum vitaes of 565 excellent researchers within the life sciences and medical sciences fields in Japan. I specifically analyzed the relationship between the experiences of practical physicians and research performance. As a result, I found that the experience as a practical physician had a statistically positive relationship with the number of research papers, but there was not a significant relationship with the number of citations. Moreover, the diversity of a researcher’s career related significantly to the number of citations and patents. An employment experience at a young age with a company or independent administrative agency had a significant and positive relationship with number of coauthors. However, a significant relationship between work experience in a foreign country and research performance was not observed.

Suggested Citation

  • Naomi Fukuzawa, 2014. "An empirical analysis of the relationship between individual characteristics and research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 785-809, June.
    • Handle: RePEc:spr:scient:v:99:y:2014:i:3:d:10.1007_s11192-013-1213-3
    DOI: 10.1007/s11192-013-1213-3
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    References listed on IDEAS

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    Cited by:

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    2. Zhang, Mengya & Zhang, Gupeng & Liu, Yun & Zhai, Xiaorong & Han, Xinying, 2020. "Scientists’ genders and international academic collaboration: An empirical study of Chinese universities and research institutes," Journal of Informetrics, Elsevier, vol. 14(4).
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    5. Qurat-ul Ain & Hira Riaz & Muhammad Tanvir Afzal, 2019. "Evaluation of h-index and its citation intensity based variants in the field of mathematics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 187-211, April.
    6. Moritaka Hosotsubo & Ryuei Nishii, 2016. "Relation between awarding of Grants-in-aid for scientific research and characteristics of applicants in Japanese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1097-1116, November.
    7. Yun Liu & Mengya Zhang & Gupeng Zhang & Xiongxiong You, 2022. "Scientific elites versus other scientists: who are better at taking advantage of the research collaboration network?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3145-3166, June.

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