IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v98y2014i3d10.1007_s11192-013-1155-9.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-013-1155-9
    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/s11192-013-1155-9?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

    for a different version of it.

    References listed on IDEAS

    as
    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.
    2. Jonathan M. Levitt & Mike Thelwall, 2009. "The most highly cited Library and Information Science articles: Interdisciplinarity, first authors and citation patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 45-67, January.
    3. Albarrán, Pedro & Ortuño, Ignacio & Ruiz-Castillo, Javier, 2011. "The measurement of low- and high-impact in citation distributions: Technical results," Journal of Informetrics, Elsevier, vol. 5(1), pages 48-63.
    4. Burrell, Quentin L., 2007. "On the h-index, the size of the Hirsch core and Jin's A-index," Journal of Informetrics, Elsevier, vol. 1(2), pages 170-177.
    5. Tibor Braun & Wolfgang Glänzel & András Schubert, 2006. "A Hirsch-type index for journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 169-173, October.
    6. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    7. Alonso, S. & Cabrerizo, F.J. & Herrera-Viedma, E. & Herrera, F., 2009. "h-Index: A review focused in its variants, computation and standardization for different scientific fields," Journal of Informetrics, Elsevier, vol. 3(4), pages 273-289.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Wörfel, Philipp, 2021. "Unravelling the intellectual discourse of implicit consumer cognition: A bibliometric review," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    3. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2019. "Cross-national distance and international business: an analysis of the most influential recent models," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 173-208, October.
    4. Ton Mooij, 2015. "Exploring a prototype framework of web-based and peer-reviewed “European Educational Research Quality Indicators” (EERQI)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 1037-1055, January.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Cristina López-Duarte & Jane F. Maley & Marta M. Vidal-Suárez, 2021. "Main challenges to international student mobility in the European arena," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8957-8980, November.
    17. 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.
    18. 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.
    19. 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.
    20. Thamyres T. Choji & Manuel J. Cobo & Jose A. Moral-Munoz, 2024. "Is the scientific impact of the LIS themes gender-biased? A bibliometric analysis of the evolution, scientific impact, and relative contribution by gender from 2007 to 2022," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(10), pages 6023-6047, October.
    21. 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.
    22. 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.
    23. 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.
    24. 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).
    25. 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.

    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. 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.
    2. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    3. 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.
    4. Ahmadfard, Mohammadamin & Baniasadi, Ehsan, 2025. "Borehole thermal energy storage systems: A comprehensive review using bibliometric and qualitative tools," Applied Energy, Elsevier, vol. 387(C).
    5. Aiolfi, Simone & Luceri, Beatrice, 2024. "See you on the Metaverse: A bibliometric expedition through the Metaverse landscape," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    6. 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.
    7. Kipper, Liane Mahlmann & Iepsen, Sandra & Dal Forno, Ana Julia & Frozza, Rejane & Furstenau, Leonardo & Agnes, Jéssica & Cossul, Danielli, 2021. "Scientific mapping to identify competencies required by industry 4.0," Technology in Society, Elsevier, vol. 64(C).
    8. Dilruba Mahbuba & Ronald Rousseau, 2013. "Year-based h-type indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 785-797, September.
    9. Gessler, Michael & Bohlinger, Sandra & Zlatkin-Troitschanskaia, Olga, 2021. "International vocational education and training research: An introduction to the special issue," International Journal for Research in Vocational Education and Training (IJRVET), European Research Network in Vocational Education and Training (VETNET), European Educational Research Association, vol. 8(4), pages 1-15.
    10. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    11. Emanuela Gemelli & Eva Olmedo-Moreno & à lvaro Manuel Úbeda-Sánchez & Clemente Rodríguez-Sabiote, 2024. "Bibliometric Study of Scientific Output Between 2011 and 2020 Regarding Teaching-Learning of the Sciences Through Comic Books," SAGE Open, , vol. 14(1), pages 21582440231, February.
    12. Estévez-Mendoza, Carlos & Montoro-Sánchez, Ángeles, 2024. "Exploring the relationship between innovation and corporate governance," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    13. Livio Cricelli & Michele Grimaldi & Silvia Vermicelli, 2022. "Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda," Review of Managerial Science, Springer, vol. 16(5), pages 1269-1310, July.
    14. Zoltán Lakner & Brigitta Plasek & Gyula Kasza & Anna Kiss & Sándor Soós & Ágoston Temesi, 2021. "Towards Understanding the Food Consumer Behavior–Food Safety–Sustainability Triangle: A Bibliometric Approach," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    15. Gallego-Losada, María-Jesús & Montero-Navarro, Antonio & García-Abajo, Elisa & Gallego-Losada, Rocío, 2023. "Digital financial inclusion. Visualizing the academic literature," Research in International Business and Finance, Elsevier, vol. 64(C).
    16. Santana, Monica & Cobo, Manuel J., 2020. "What is the future of work? A science mapping analysis," European Management Journal, Elsevier, vol. 38(6), pages 846-862.
    17. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    18. Yu, Dejian & Xiang, Bo, 2024. "An ESTs detection research based on paper entity mapping: Combining scientific text modeling and neural prophet," Journal of Informetrics, Elsevier, vol. 18(4).
    19. Mikel Alayo & Txomin Iturralde & Amaia Maseda & Gloria Aparicio, 2021. "Mapping family firm internationalization research: bibliometric and literature review," Review of Managerial Science, Springer, vol. 15(6), pages 1517-1560, August.
    20. Wang, Xiaoguang & He, Jing & Huang, Han & Wang, Hongyu, 2022. "MatrixSim: A new method for detecting the evolution paths of research topics," Journal of Informetrics, Elsevier, vol. 16(4).

    More about this item

    Keywords

    ;
    ;
    ;

    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:98:y:2014:i:3:d:10.1007_s11192-013-1155-9. 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.