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Are multi-authorship and visibility related? Study of ten research areas at Carlos III University of Madrid

Author

Listed:
  • Isabel Iribarren-Maestro

    (Carlos III University of Madrid, Department of Library Science and Documentation, Getafe)

  • María Luisa Lascurain-Sánchez

    (Carlos III University of Madrid, Department of Library Science and Documentation, Getafe)

  • Elías Sanz-Casado

    (Carlos III University of Madrid, Department of Library Science and Documentation, Getafe)

Abstract

Opinions in the literature on the possible relationship between co-authorship and number of citations vary. This paper contributes to the debate with a further analysis of the subject, taking account of the number and quality of citations found for multi-(author, institution, country) and single-authored papers. The study is based on the scientific production of ten Carlos III University of Madrid departmental areas between 1997 and 2003 as reflected in the ISI Web of Science, and the number of times the respective papers were cited between 1997 and 2004. Univariate multifactorial analysis of variance (ANOVA) was used to verify the relationship between multi-authorship and visibility. The correlation between multi-institutional and multi-national authorship and the quartile of the citing journals was analyzed with correspondence analysis. The results show that while multi-institutional and multi-national authorship raise the number of citations, co-authorship and number of citations are unrelated. Correspondence analysis failed to show any correlation between the quartile of the citing journal and multi-institutional or multinational authorship, but did reveal a relationship between citing journal quartile and departmental area.

Suggested Citation

  • Isabel Iribarren-Maestro & María Luisa Lascurain-Sánchez & Elías Sanz-Casado, 2009. "Are multi-authorship and visibility related? Study of ten research areas at Carlos III University of Madrid," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 191-200, April.
    • Handle: RePEc:spr:scient:v:79:y:2009:i:1:d:10.1007_s11192-009-0412-4
    DOI: 10.1007/s11192-009-0412-4
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    References listed on IDEAS

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    1. Olle Persson & Wolfgang Glänzel & Rickard Danell, 2004. "Inflationary bibliometric values: The role of scientific collaboration and the need for relative indicators in evaluative studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 421-432, August.
    2. Wolfgang Glänzel & András Schubert, 2001. "Double effort = Double impact? A critical view at international co-authorship in chemistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(2), pages 199-214, February.
    3. Anthony F J van Raan, 1997. "Science as an international enterprise," Science and Public Policy, Oxford University Press, vol. 24(5), pages 290-300, October.
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    Cited by:

    1. Jordi Ardanuy, 2012. "Scientific collaboration in Library and Information Science viewed through the Web of Knowledge: the Spanish case," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 877-890, March.
    2. Huang, Mu-Hsuan & Chang, Yu-Wei, 2018. "Multi-institutional authorship in genetics and high-energy physics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 549-558.
    3. Hsuan-I Liu & Mu-Hsuan Huang, 2022. "Research contribution pattern analysis of multinational authorship papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1783-1800, April.
    4. Franceschet, Massimo & Costantini, Antonio, 2010. "The effect of scholar collaboration on impact and quality of academic papers," Journal of Informetrics, Elsevier, vol. 4(4), pages 540-553.
    5. Hongquan Shen & Juan Xie & Jiang Li & Ying Cheng, 2021. "The correlation between scientific collaboration and citation count at the paper level: a meta-analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3443-3470, April.
    6. Dongqing Lyu & Kaile Gong & Xuanmin Ruan & Ying Cheng & Jiang Li, 2021. "Does research collaboration influence the “disruption” of articles? Evidence from neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 287-303, January.
    7. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2024. "Dubious cross-national affiliations obscure the assessment of international research collaboration," Journal of Informetrics, Elsevier, vol. 18(2).

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