IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v129y2024i6d10.1007_s11192-024-05026-y.html
   My bibliography  Save this article

The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles

Author

Listed:
  • Ariel Alexi

    (Bar Ilan University)

  • Teddy Lazebnik

    (Ariel University
    University College London)

  • Ariel Rosenfeld

    (Bar Ilan University)

Abstract

Online academic profiles are used by scholars to reflect a desired image to their online audience. In Google Scholar, scholars can select a subset of co-authors for presentation in a central location on their profile using a social feature called the “co-authroship panel”. In this work, we examine whether scientometrics and reciprocality can explain the observed selections. To this end, we scrape and thoroughly analyze a novel set of 120,000 Google Scholar profiles, ranging across four dieffectsciplines and various academic institutions. Our results seem to suggest that scholars tend to favor co-authors with higher scientometrics over others for inclusion in their co-authorship panels. Interestingly, as one’s own scientometrics are higher, the tendency to include co-authors with high scientometrics is diminishing. Furthermore, we find that reciprocality is central in explaining scholars’ selections.

Suggested Citation

  • Ariel Alexi & Teddy Lazebnik & Ariel Rosenfeld, 2024. "The scientometrics and reciprocality underlying co-authorship panels in Google Scholar profiles," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 3303-3313, June.
    • Handle: RePEc:spr:scient:v:129:y:2024:i:6:d:10.1007_s11192-024-05026-y
    DOI: 10.1007/s11192-024-05026-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-024-05026-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-024-05026-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tahereh Dehdarirad & Stefano Nasini, 2017. "Research impact in co-authorship networks: a two-mode analysis," Post-Print hal-01745330, HAL.
    2. Frank J. Rijnsoever & Laurens K. Hessels, 2021. "How academic researchers select collaborative research projects: a choice experiment," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1917-1948, December.
    3. Sandra Cristina Oliveira & Juliana Cobre & Danilo Florentino Pereira, 2021. "A measure of reliability for scientific co-authorship networks using fuzzy logic," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4551-4563, June.
    4. Dehdarirad, Tahereh & Nasini, Stefano, 2017. "Research impact in co-authorship networks: a two-mode analysis," Journal of Informetrics, Elsevier, vol. 11(2), pages 371-388.
    5. Michael Gusenbauer, 2019. "Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 177-214, January.
    6. Muhammad Hasan Ashraf & Jiayuan Zhang & Koray Özpolat, 2023. "Antecedents of blatant benevolence on social media," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(8), pages 1230-1252, June.
    7. 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.
    8. Martín-Martín, Alberto & Orduna-Malea, Enrique & Delgado López-Cózar, Emilio, 2018. "Author-level metrics in the new academic profile platforms: The online behaviour of the Bibliometrics community," Journal of Informetrics, Elsevier, vol. 12(2), pages 494-509.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sandra Cristina Oliveira & Juliana Cobre & Danilo Florentino Pereira, 2021. "A measure of reliability for scientific co-authorship networks using fuzzy logic," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4551-4563, June.
    2. Shen, Hongquan & Xie, Juan & Ao, Weiyi & Cheng, Ying, 2022. "The continuity and citation impact of scientific collaboration with different gender composition," Journal of Informetrics, Elsevier, vol. 16(1).
    3. Fatima Baji & Ismail Mostafavi & Parastoo Parsaei-Mohammadi & Zivar Sabaghinejad, 2021. "Partnership ability and co-authorship network of information literacy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8205-8216, September.
    4. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    5. Zhihong Huang & Qianjin Zong & Xuerui Ji, 2022. "The associations between scientific collaborations of LIS research and its policy impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6453-6470, November.
    6. Rodrigo Sánchez-Jiménez & Iuliana Botezan & Jesús Barrasa-Rodríguez & Mari Carmen Suárez-Figueroa & Manuel Blázquez-Ochando, 2023. "Gender imbalance in doctoral education: an analysis of the Spanish university system (1977–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2577-2599, April.
    7. Allahbakhsh, Mohammad & Amintoosi, Haleh & Behkamal, Behshid & Beheshti, Amin & Bertino, Elisa, 2021. "SCiMet: Stable, sCalable and reliable Metric-based framework for quality assessment in collaborative content generation systems," Journal of Informetrics, Elsevier, vol. 15(2).
    8. Luis Obregon & Cristhian Orozco & Josu Camargo & Jorge Duarte & Guillermo Valencia, 2019. "Research trend on Nuclear Energy from 2008 to 2018: A Bibliometric Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 542-551.
    9. Tehmina Amjad & Javeria Munir, 2021. "Investigating the impact of collaboration with authority authors: a case study of bibliographic data in field of philosophy," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4333-4353, May.
    10. Šubelj, Lovro & Fiala, Dalibor & Ciglarič, Tadej & Kronegger, Luka, 2019. "Convexity in scientific collaboration networks," Journal of Informetrics, Elsevier, vol. 13(1), pages 10-31.
    11. Norma Salgado-Orellana & Emilio Berrocal de-Luna & Calixto Gutiérrez-Braojos, 2021. "A scientometric study of doctoral theses on the Roma in the Iberian Peninsula during the 1977–2018 period," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 437-458, January.
    12. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    13. Simone Belli & Carlos Gonzalo-Penela, 2020. "Science, research, and innovation infospheres in Google results of the Ibero-American countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 635-653, May.
    14. Ibrahim Ahmed Ghashim & Muhammad Arshad, 2023. "Internet of Things (IoT)-Based Teaching and Learning: Modern Trends and Open Challenges," Sustainability, MDPI, vol. 15(21), pages 1-21, November.
    15. Katia A. Figueroa-Rodríguez & Francisco Hernández-Rosas & Benjamín Figueroa-Sandoval & Joel Velasco-Velasco & Noé Aguilar Rivera, 2019. "What Has Been the Focus of Sugarcane Research? A Bibliometric Overview," IJERPH, MDPI, vol. 16(18), pages 1-15, September.
    16. Hanna Obracht-Prondzyńska & Ewa Duda & Helena Anacka & Jolanta Kowal, 2022. "Greencoin as an AI-Based Solution Shaping Climate Awareness," IJERPH, MDPI, vol. 19(18), pages 1-25, September.
    17. Enrique Orduña-Malea & Rodrigo Costas, 2021. "Link-based approach to study scientific software usage: the case of VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8153-8186, September.
    18. Nur Syamsiyah & Lies Sulistyowati & Trisna Insan Noor & Iwan Setiawan, 2023. "The Sustainability Level of an EcoVillage in the Upper Citarum Watershed of West Java Province, Indonesia," Sustainability, MDPI, vol. 15(22), pages 1-25, November.
    19. Sergio Copiello, 2019. "Research Interest: another undisclosed (and redundant) algorithm by ResearchGate," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 351-360, July.
    20. Lim, Weng Marc & Rasul, Tareq, 2022. "Customer engagement and social media: Revisiting the past to inform the future," Journal of Business Research, Elsevier, vol. 148(C), pages 325-342.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:129:y:2024:i:6:d:10.1007_s11192-024-05026-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.