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Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?

Author

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  • Rodrigo Costas
  • Thed N. van Leeuwen
  • María Bordons

Abstract

This study presents an analysis of the use of bibliographic references by individual scientists in three different research areas. The number and type of references that scientists include in their papers are analyzed, the relationship between the number of references and different impact‐based indicators is studied from a multivariable perspective, and the referencing patterns of scientists are related to individual factors such as their age and scientific performance. Our results show inter‐area differences in the number, type, and age of references. Within each area, the number of references per document increases with journal impact factor and paper length. Top‐performance scientists use in their papers a higher number of references, which are more recent and more frequently covered by the Web of Science. Veteran researchers tend to rely more on older literature and non‐Web of Science sources. The longer reference lists of top scientists can be explained by their tendency to publish in high impact factor journals, with stricter reference and reviewing requirements. Long reference lists suggest a broader knowledge on the current literature in a field, which is important to become a top scientist. From the perspective of the “handicap principle theory,” the sustained use of a high number of references in an author's oeuvre is a costly behavior that may indicate a serious, comprehensive, and solid research capacity, but that only the best researchers can afford. Boosting papers' citations by artificially increasing the number of references does not seem a feasible strategy.

Suggested Citation

  • Rodrigo Costas & Thed N. van Leeuwen & María Bordons, 2012. "Referencing patterns of individual researchers: Do top scientists rely on more extensive information sources?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2433-2450, December.
  • Handle: RePEc:bla:jamist:v:63:y:2012:i:12:p:2433-2450
    DOI: 10.1002/asi.22662
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    Cited by:

    1. Yoscelina Iraida Hernandez-García & Mónica Anzaldo Montoya, 2021. "Flow of ideas in the study of communication channels and references in publications on nanotechnology applied to food and agriculture in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 995-1017, February.
    2. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).
    3. Dongyu Zang & Chunli Liu, 2023. "Exploring the clinical translation intensity of papers published by the world’s top scientists in basic medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2371-2416, April.
    4. Libo Sheng & Dongqing Lyu & Xuanmin Ruan & Hongquan Shen & Ying Cheng, 2023. "The association between prior knowledge and the disruption of an article," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4731-4751, August.
    5. Guoqiang Liang & Haiyan Hou & Xiaodan Lou & Zhigang Hu, 2019. "Qualifying threshold of “take-off” stage for successfully disseminated creative ideas," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1193-1208, September.
    6. Stacey, Anthony G, 2020. "Robust parameterisation of ages of references in published research," Journal of Informetrics, Elsevier, vol. 14(3).
    7. Thed Leeuwen & Rodrigo Costas & Clara Calero-Medina & Martijn Visser, 2013. "The role of editorial material in bibliometric research performance assessments," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 817-828, May.
    8. María Bordons & Borja González-Albo & Javier Aparicio & Luz Moreno, 2015. "The influence of R&D intensity of countries on the impact of international collaborative research: evidence from Spain," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1385-1400, February.
    9. María Bordons & Javier Aparicio & Rodrigo Costas, 2013. "Heterogeneity of collaboration and its relationship with research impact in a biomedical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 443-466, August.
    10. Soo Jeung Lee & Christian Schneijderberg & Yangson Kim & Isabel Steinhardt, 2021. "Have Academics’ Citation Patterns Changed in Response to the Rise of World University Rankings? A Test Using First-Citation Speeds," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
    11. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2014. "Are the authors of highly cited articles also the most productive ones?," Journal of Informetrics, Elsevier, vol. 8(1), pages 89-97.
    12. Jeppe Nicolaisen & Tove Faber Frandsen, 2021. "Number of references: a large-scale study of interval ratios," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 259-285, January.

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