IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v107y2016i1d10.1007_s11192-016-1841-5.html
   My bibliography  Save this article

Research metrics: What about weighted citations?

Author

Listed:
  • Thomas C. Erren

    (University Hospital of Cologne)

  • J. Valérie Groß

    (University Hospital of Cologne)

Abstract

No abstract is available for this item.

Suggested Citation

  • Thomas C. Erren & J. Valérie Groß, 2016. "Research metrics: What about weighted citations?," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(1), pages 315-316, April.
    • Handle: RePEc:spr:scient:v:107:y:2016:i:1:d:10.1007_s11192-016-1841-5
    DOI: 10.1007/s11192-016-1841-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-016-1841-5
    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/s11192-016-1841-5?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. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Post-Print hal-02945454, HAL.
    2. Juan Gorraiz & Christian Gumpenberger, 2015. "A flexible bibliometric approach for the assessment of professorial appointments," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1699-1719, December.
    3. Kamal Badar & Julie M. Hite & Naeem Ashraf, 2015. "Knowledge network centrality, formal rank and research performance: evidence for curvilinear and interaction effects," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1553-1576, December.
    4. Diana Hicks & Paul Wouters & Ludo Waltman & Sarah de Rijcke & Ismael Rafols, 2015. "Bibliometrics: The Leiden Manifesto for research metrics," Nature, Nature, vol. 520(7548), pages 429-431, April.
    5. Ole Ellegaard & Johan A. Wallin, 2015. "The bibliometric analysis of scholarly production: How great is the impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1809-1831, December.
    6. Lisa Geraci & Steve Balsis & Alexander J. Busch Busch, 2015. "Gender and the h index in psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2023-2034, December.
    7. Tolga Yuret, 2015. "Interfield comparison of academic output by using department level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1653-1664, December.
    8. Michael C. Wendl, 2007. "H-index: however ranked, citations need context," Nature, Nature, vol. 449(7161), pages 403-403, September.
    9. Gianfranco Ennas & Battista Biggio & Maria Chiara Di Guardo, 2015. "Data-driven journal meta-ranking in business and management," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1911-1929, December.
    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. Sten F Odenwald, 2020. "A citation study of earth science projects in citizen science," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-26, July.
    2. Marian-Gabriel Hâncean & Matjaž Perc & Jürgen Lerner, 2021. "The coauthorship networks of the most productive European researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 201-224, January.
    3. Gregorio González-Alcaide, 2021. "Bibliometric studies outside the information science and library science field: uncontainable or uncontrollable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6837-6870, August.
    4. Yanqing Shi & Si Chen & Lele Kang, 2021. "Which questions are valuable in online Q&A communities? A question’s position in a knowledge network matters," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8239-8258, October.
    5. Zhu, Nibing & Liu, Chang & Yang, Zhilin, 2021. "Team Size, Research Variety, and Research Performance: Do Coauthors’ Coauthors Matter?," Journal of Informetrics, Elsevier, vol. 15(4).
    6. Sánchez-Gil, Susana & Gorraiz, Juan & Melero-Fuentes, David, 2018. "Reference density trends in the major disciplines," Journal of Informetrics, Elsevier, vol. 12(1), pages 42-58.
    7. Liu, Meijun & Jaiswal, Ajay & Bu, Yi & Min, Chao & Yang, Sijie & Liu, Zhibo & Acuña, Daniel & Ding, Ying, 2022. "Team formation and team impact: The balance between team freshness and repeat collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    8. Yan Yan & Jiancheng Guan, 2018. "How multiple networks help in creating knowledge: evidence from alternative energy patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 51-77, April.
    9. Jing Tu, 2019. "What connections lead to good scientific performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 587-604, February.
    10. Konda, Bruhan & González‐Sauri, Mario & Cowan, Robin & Yashodha, Yashodha & Chellattan Veettil, Prakashan, 2021. "Social networks and agricultural performance: A multiplex analysis of interactions among Indian rice farmers," MERIT Working Papers 2021-030, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Isabel Diez-Vial & Angeles Montoro-Sanchez, 2017. "Research evolution in science parks and incubators: foundations and new trends," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1243-1272, March.
    12. Fernando Martín-Alcázar & Marta Ruiz-Martínez & Gonzalo Sánchez-Gardey, 2019. "Assessing social capital in academic research teams: a measurement instrument proposal," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 917-935, November.
    13. Mengyang Wang & Lihe Chai, 2018. "Three new bibliometric indicators/approaches derived from keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 721-750, August.
    14. Wei Wang & Shuo Yu & Teshome Megersa Bekele & Xiangjie Kong & Feng Xia, 2017. "Scientific collaboration patterns vary with scholars’ academic ages," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 329-343, July.
    15. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
    16. Ramakrishnan Ramanathan, 2018. "Understanding Complexity: the Curvilinear Relationship Between Environmental Performance and Firm Performance," Journal of Business Ethics, Springer, vol. 149(2), pages 383-393, May.
    17. 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.
    18. Antonio Fernandez-Cano & Inés M. Fernández-Guerrero, 2017. "A multivariate model for evaluating emergency medicine journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 991-1003, February.
    19. Bryce, Cormac & Dowling, Michael & Lucey, Brian, 2020. "The journal quality perception gap," Research Policy, Elsevier, vol. 49(5).
    20. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.

    More about this item

    Statistics

    Access and download statistics

    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:107:y:2016:i:1:d:10.1007_s11192-016-1841-5. 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.