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How to identify research groups using publication analysis: an example in the field of nanotechnology

Author

Listed:
  • Clara Calero

    (Centre for Science and Technology Studies (CWTS), University of Leiden)

  • Renald Buter

    (Centre for Science and Technology Studies (CWTS), University of Leiden)

  • Cecilia Cabello Valdés

    (Fundación Espa?ola para la Ciencia y Tecnología (FECYT))

  • Ed Noyons

    (Centre for Science and Technology Studies (CWTS), University of Leiden)

Abstract

Summary We present a new bibliometric approach to identify research groups in a particular research field. With a combination of bibliometric mapping techniques and network analysis we identify and classify clusters of authors to represent research groups. In this paper we illustrate the application and potential of this approach and present two types of outcomes: actual research groups and potential research groups. The former enables us to define research groups beyond the organizational structure. The latter may be used to identify potential partners for collaboration. Our approach is a starting point to deal with the complex issue of research groups in a changing structure of scientific research.

Suggested Citation

  • Clara Calero & Renald Buter & Cecilia Cabello Valdés & Ed Noyons, 2006. "How to identify research groups using publication analysis: an example in the field of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 365-376, February.
    • Handle: RePEc:spr:scient:v:66:y:2006:i:2:d:10.1007_s11192-006-0026-z
    DOI: 10.1007/s11192-006-0026-z
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    Cited by:

    1. D’Este, Pablo & Robinson-García, Nicolás, 2023. "Interdisciplinary research and the societal visibility of science: The advantages of spanning multiple and distant scientific fields," Research Policy, Elsevier, vol. 52(2).
    2. Costas, Rodrigo & van Leeuwen, Thed N. & van Raan, Anthony F.J., 2013. "Effects of the durability of scientific literature at the group level: Case study of chemistry research groups in the Netherlands," Research Policy, Elsevier, vol. 42(4), pages 886-894.
    3. Bulent Ozel, 2012. "Individual cognitive structures and collaboration patterns in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 539-555, May.
    4. Chin-Chang Tsai & Elizabeth A. Corley & Barry Bozeman, 2016. "Collaboration experiences across scientific disciplines and cohorts," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 505-529, August.
    5. Leonardo Reyes-Gonzalez & Claudia N. Gonzalez-Brambila & Francisco Veloso, 2016. "Using co-authorship and citation analysis to identify research groups: a new way to assess performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1171-1191, September.
    6. C.M. Calero Medina & T.N. Leeuwen, 2012. "Seed journal citation network maps: A method based on network theory," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1226-1234, June.
    7. Morteza Maghrebi & Ali Abbasi & Saeid Amiri & Reza Monsefi & Ahad Harati, 2011. "A collective and abridged lexical query for delineation of nanotechnology publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 15-25, January.
    8. Katarina Larsen, 2008. "Knowledge network hubs and measures of research impact, science structure, and publication output in nanostructured solar cell research," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 123-142, January.
    9. Carusi, Chiara & Bianchi, Giuseppe, 2019. "Scientific community detection via bipartite scholar/journal graph co-clustering," Journal of Informetrics, Elsevier, vol. 13(1), pages 354-386.
    10. Calero-Medina, Clara & Noyons, Ed C.M., 2008. "Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field," Journal of Informetrics, Elsevier, vol. 2(4), pages 272-279.
    11. Hector G. Ceballos & Sara E. Garza & Francisco J. Cantu, 2018. "Factors influencing the formation of intra-institutional formal research groups: group prediction from collaboration, organisational, and topical networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 181-216, January.
    12. Antonio Perianes-Rodríguez & Carlos Olmeda-Gómez & Félix Moya-Anegón, 2010. "Detecting, identifying and visualizing research groups in co-authorship networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 307-319, February.
    13. Tomaz Bartol & Karmen Stopar, 2015. "Nano language and distribution of article title terms according to power laws," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 435-451, May.
    14. Heting Chu & Chen Xu, 2009. "Web 2.0 and its dimensions in the scholarly world," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(3), pages 717-729, September.
    15. Qi Yu & Hongfang Shao & Zhiguang Duan, 2011. "Research groups of oncology co-authorship network in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 553-567, November.
    16. Perianes-Rodríguez, Antonio & Chinchilla-Rodríguez, Zaida & Vargas-Quesada, Benjamín & Olmeda Gómez, Carlos & Moya-Anegón, Félix, 2009. "Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results," Journal of Informetrics, Elsevier, vol. 3(2), pages 91-101.
    17. Kostoff, Ronald N., 2008. "Comparison of China/USA science and technology performance," Journal of Informetrics, Elsevier, vol. 2(4), pages 354-363.
    18. Yoshiyuki Takeda & Shiho Mae & Yuya Kajikawa & Katsumori Matsushima, 2009. "Nanobiotechnology as an emerging research domain from nanotechnology: A bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 23-38, July.
    19. Ehsan Mohammadi, 2012. "Knowledge mapping of the Iranian nanoscience and technology: a text mining approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 593-608, September.
    20. Takao Furukawa & Nobuyuki Shirakawa & Kumi Okuwada, 2011. "Quantitative analysis of collaborative and mobility networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 451-466, June.
    21. Reindert K. Buter & Ed. C. M. Noyons & Anthony F. J. Raan, 2011. "Searching for converging research using field to field citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 325-338, February.
    22. Zewen Hu & Angela Lin & Peter Willett, 2019. "Identification of research communities in cited and uncited publications using a co-authorship network," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 1-19, January.
    23. Ed C. M. Noyons & Clara Calero-Medina, 2009. "Applying bibliometric mapping in a high level science policy context," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 261-275, May.

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