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H-Classics: characterizing the concept of citation classics through H-index

Author

Listed:
  • M. A. Martínez

    (International University of La Rioja (UNIR))

  • M. Herrera

    (University of Spain (UNED))

  • J. López-Gijón

    (University of Granada)

  • E. Herrera-Viedma

    (University of Granada)

Abstract

Citation classics identify those highly cited papers which are an important reference point in a research field. To identify a paper as a citation classic we have to fix a citation threshold value. Usually, this threshold value should not be the same for all research fields because each field presents its respective citation pattern. Studies of citation classics in the literature define particular criteria and methods to set citation thresholds, which are often set arbitrarily and designed ad-hoc, and do not allow the scientific community to validate and compare their results. In this paper we introduce the concept of H-Classics to overcome this problem and provide scientific community a standardization of key constructs. We present a new and systematic method to identify citation classics. This identification method of highly cited papers is based on the H-index and thank to the properties of H-index it is sensitive to the own characteristics of any research discipline and also its evolution. Therefore, the concept of H-Classics allows to systematize search procedure of citation classics for any field of research.

Suggested Citation

  • M. A. Martínez & M. Herrera & J. López-Gijón & E. Herrera-Viedma, 2014. "H-Classics: characterizing the concept of citation classics through H-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1971-1983, March.
  • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1155-9
    DOI: 10.1007/s11192-013-1155-9
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    References listed on IDEAS

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    1. M.J. Cobo & A.G. López‐Herrera & E. Herrera‐Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
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    Cited by:

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    6. Veronica Perez-Cabezas & Carmen Ruiz-Molinero & Ines Carmona-Barrientos & Enrique Herrera-Viedma & Manuel J. Cobo & Jose A. Moral-Munoz, 2018. "Highly cited papers in rheumatology: identification and conceptual analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 555-568, July.
    7. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.
    8. Luis Javier Cabeza Ramírez & Sandra M. Sánchez-Cañizares & Fernando J. Fuentes-García, 2019. "Past Themes and Tracking Research Trends in Entrepreneurship: A Co-Word, Cites and Usage Count Analysis," Sustainability, MDPI, vol. 11(11), pages 1-32, June.
    9. Juan Vidal & Ramón A. Carrasco & Manuel J. Cobo & María F. Blasco, 2024. "Data Sources as a Driver for Market-Oriented Tourism Organizations: a Bibliometric Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7588-7621, June.
    10. Luciano Barcellos-Paula & José M. Merigó & Anna M. Gil-Lafuente, 2024. "100 volumes of Mathematical Methods of Operations Research: a bibliometric overview," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 100(3), pages 753-796, December.
    11. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    12. Sandra M. Sánchez-Cañizares & Ana M. Castillo-Canalejo & Luis Javier Cabeza-Ramírez, 2018. "Sustainable Tourism in Sensitive Areas: Bibliometric Characterisation and Content Analysis of Specialised Literature," Sustainability, MDPI, vol. 10(5), pages 1-19, May.
    13. Xinmin Zhang & Ronald C Estoque & Hualin Xie & Yuji Murayama & Manjula Ranagalage, 2019. "Bibliometric analysis of highly cited articles on ecosystem services," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-16, February.
    14. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2018. "The early adulthood of the Asia Pacific Journal of Management: A literature review 2005–2014," Asia Pacific Journal of Management, Springer, vol. 35(2), pages 313-345, June.
    15. Ruben Heradio & David Fernandez-Amoros & Cristina Cerrada & Manuel J. Cobo, 2020. "Group Decision-Making Based on Artificial Intelligence: A Bibliometric Analysis," Mathematics, MDPI, vol. 8(9), pages 1-20, September.
    16. Nadia Karina Gamboa-Rosales & José María Celaya-Padilla & Ana Luisa Hernandez-Gutierrez & Arturo Moreno-Baez & Carlos E. Galván-Tejada & Jorge I. Galván-Tejada & Edgar González-Fernández & Hamurabi Ga, 2020. "Visualizing the Intellectual Structure and Evolution of Intelligent Transportation Systems: A Systematic Analysis of Research Themes and Trends," Sustainability, MDPI, vol. 12(21), pages 1-30, October.
    17. 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.
    18. Merigó, José M. & Gil-Lafuente, Anna M. & Kydland, Finn & Amiguet, Lluis & Vivoda, Vlado & Campbell, Gary & Lei, Yalin & Fleming-Muñoz, David, 2024. "50 years of Resources Policy: A bibliometric analysis," Resources Policy, Elsevier, vol. 96(C).
    19. Fabio Zagonari, 2019. "Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined," Publications, MDPI, vol. 7(2), pages 1-30, May.
    20. Sigifredo Laengle & Nikunja Mohan Modak & Jose M. Merigo & Gustavo Zurita, 2018. "Twenty-Five Years of Group Decision and Negotiation: A Bibliometric Overview," Group Decision and Negotiation, Springer, vol. 27(4), pages 505-542, August.
    21. Julia M. Núñez-Tabales & Miguel Ángel Solano-Sánchez & Lorena Caridad-y-López-del-Río, 2020. "Ten Years of Airbnb Phenomenon Research: A Bibliometric Approach (2010–2019)," Sustainability, MDPI, vol. 12(15), pages 1-16, August.
    22. Hugo Baier-Fuentes & José M. Merigó & José Ernesto Amorós & Magaly Gaviria-Marín, 2019. "International entrepreneurship: a bibliometric overview," International Entrepreneurship and Management Journal, Springer, vol. 15(2), pages 385-429, June.
    23. Katarzyna Piwowar-Sulej & Mariusz Sołtysik & Szymon Jarosz & Ryszard Pukała, 2023. "The Linkage between Renewable Energy and Project Management: What Do We Already Know, and What Are the Future Directions of Research?," Energies, MDPI, vol. 16(12), pages 1-26, June.
    24. E. M. Murgado-Armenteros & M. Gutiérrez-Salcedo & F. J. Torres-Ruiz & M. J. Cobo, 2015. "Analysing the conceptual evolution of qualitative marketing research through science mapping analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 519-557, January.
    25. M. A. Martínez & M. Herrera & E. Contreras & A. Ruíz & E. Herrera-Viedma, 2015. "Characterizing highly cited papers in Social Work through H-Classics," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1713-1729, February.

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