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Discovering seminal works with marker papers

Author

Listed:
  • Robin Haunschild

    (Max Planck Institute for Solid State Research)

  • Werner Marx

    (Max Planck Institute for Solid State Research)

Abstract

Bibliometric information retrieval in databases can employ different strategies. Commonly, queries are performed by searching in title, abstract and/or author keywords (author vocabulary). More advanced queries employ database keywords to search in a controlled vocabulary. Queries based on search terms can be augmented with their citing papers if a research field cannot be curtailed by the search query alone. Here, we present another strategy to discover the most important papers of a research field. A marker paper is used to reveal the most important works for the relevant community. All papers co-cited with the marker paper are analyzed using reference publication year spectroscopy (RPYS). For demonstration of the marker paper approach, density functional theory is used as a research field. Comparisons between a prior RPYS on a publication set compiled using a keyword-based search in a controlled vocabulary and three different co-citation RPYS analyses show very similar results. Similarities and differences are discussed.

Suggested Citation

  • Robin Haunschild & Werner Marx, 2020. "Discovering seminal works with marker papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2955-2969, December.
    • Handle: RePEc:spr:scient:v:125:y:2020:i:3:d:10.1007_s11192-020-03358-z
    DOI: 10.1007/s11192-020-03358-z
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    References listed on IDEAS

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    1. Andreas Thor & Lutz Bornmann & Werner Marx & Rüdiger Mutz, 2018. "Identifying single influential publications in a research field: new analysis opportunities of the CRExplorer," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 591-608, July.
    2. Garfield, Eugene, 2009. "From the science of science to Scientometrics visualizing the history of science with HistCite software," Journal of Informetrics, Elsevier, vol. 3(3), pages 173-179.
    3. Werner Marx & Robin Haunschild & Andreas Thor & Lutz Bornmann, 2017. "Which early works are cited most frequently in climate change research literature? A bibliometric approach based on Reference Publication Year Spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 335-353, January.
    4. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1649-1666, December.
    5. van Eck, Nees Jan & Waltman, Ludo, 2014. "CitNetExplorer: A new software tool for analyzing and visualizing citation networks," Journal of Informetrics, Elsevier, vol. 8(4), pages 802-823.
    6. Werner Marx & Lutz Bornmann & Andreas Barth & Loet Leydesdorff, 2014. "Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS)," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 751-764, April.
    7. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
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    Cited by:

    1. José Antonio Plaza-Úbeda & Emilio Abad-Segura & Jerónimo de Burgos-Jiménez & Antoaneta Boteva-Asenova & Luis Jesús Belmonte-Ureña, 2020. "Trends and New Challenges in the Green Supply Chain: The Reverse Logistics," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    2. Thomas Scheidsteger & Robin Haunschild, 2020. "Telling the story of solar energy meteorology into the satellite era by applying (co-citation) reference publication year spectroscopy," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1159-1177, November.
    3. Marie Dumaz & Reese Boucher & Miguel A. L. Marques & Aldo H. Romero, 2021. "Authorship and citation cultural nature in Density Functional Theory from solid state computational packages," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6681-6695, August.
    4. Juan Pablo Bascur & Suzan Verberne & Nees Jan Eck & Ludo Waltman, 2023. "Academic information retrieval using citation clusters: in-depth evaluation based on systematic reviews," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2895-2921, May.

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