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Conference proceedings as a source of scientific information: A bibliometric analysis

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  • Cynthia Lisée
  • Vincent Larivière
  • Éric Archambault

Abstract

While several authors have argued that conference proceedings are an important source of scientific knowledge, the extent of their importance has not been measured in a systematic manner. This article examines the scientific impact and aging of conference proceedings compared to those of scientific literature in general. It shows that the relative importance of proceedings is diminishing over time and currently represents only 1.7% of references made in the natural sciences and engineering, and 2.5% in the social sciences and humanities. Although the scientific impact of proceedings is losing ground to other types of scientific literature in nearly all fields, it has grown from 8% of the references in engineering papers in the early 1980s to its current 10%. Proceedings play a particularly important role in computer sciences, where they account for close to 20% of the references. This article also shows that not unexpectedly, proceedings age faster than cited scientific literature in general. The evidence thus shows that proceedings have a relatively limited scientific impact, on average representing only about 2% of total citations, that their relative importance is shrinking, and that they become obsolete faster than the scientific literature in general.

Suggested Citation

  • Cynthia Lisée & Vincent Larivière & Éric Archambault, 2008. "Conference proceedings as a source of scientific information: A bibliometric analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(11), pages 1776-1784, September.
  • Handle: RePEc:bla:jamist:v:59:y:2008:i:11:p:1776-1784
    DOI: 10.1002/asi.20888
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    Cited by:

    1. Anton J. Nederhof & Thed N. Leeuwen & Anthony F. J. Raan, 2010. "Highly cited non-journal publications in political science, economics and psychology: a first exploration," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(2), pages 363-374, May.
    2. Danielle H. Lee, 2019. "Predictive power of conference-related factors on citation rates of conference papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 281-304, January.
    3. Grybauskas, Andrius & Stefanini, Alessandro & Ghobakhloo, Morteza, 2022. "Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0," Technology in Society, Elsevier, vol. 70(C).
    4. Behrouzi, Saman & Shafaeipour Sarmoor, Zahra & Hajsadeghi, Khosrow & Kavousi, Kaveh, 2020. "Predicting scientific research trends based on link prediction in keyword networks," Journal of Informetrics, Elsevier, vol. 14(4).
    5. Elisha R. T. Chiware & Deborah Becker, 2018. "Citation Patterns of Conference Proceedings in Master’s and Doctoral Studies: A Case Study of Information Technology and Systems," SAGE Open, , vol. 8(2), pages 21582440187, April.
    6. Philip J. Purnell, 2021. "Conference proceedings publications in bibliographic databases: a case study of countries in Southeast Asia," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 355-387, January.
    7. Ben Jabeur, Sami & Ballouk, Hossein & Ben Arfi, Wissal & Sahut, Jean-Michel, 2023. "Artificial intelligence applications in fake review detection: Bibliometric analysis and future avenues for research," Journal of Business Research, Elsevier, vol. 158(C).
    8. Matthew Harsh & Ravtosh Bal & Alex Weryha & Justin Whatley & Charles C. Onu & Lisa M. Negro, 2021. "Mapping computer science research in Africa: using academic networking sites for assessing research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 305-334, January.
    9. Copiello, Sergio, 2019. "Peer and neighborhood effects: Citation analysis using a spatial autoregressive model and pseudo-spatial data," Journal of Informetrics, Elsevier, vol. 13(1), pages 238-254.
    10. Julián D. Cortés & Daniel A. Andrade, 2022. "Winners and runners-up alike?—a comparison between awardees and special mention recipients of the most reputable science award in Colombia via a composite citation indicator," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    11. Ruinan Li & Raf Guns & Tim C. E. Engels & Lin Zhang & Ying Huang, 2023. "Tracking the featured topics of the International Science of Team Science conference series and their evolution during 2010–2019," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2447-2469, April.
    12. Davide Aloini & Riccardo Dulmin & Valeria Mininno & Alessandro Stefanini & Pierluigi Zerbino, 2020. "Driving the Transition to a Circular Economic Model: A Systematic Review on Drivers and Critical Success Factors in Circular Economy," Sustainability, MDPI, vol. 12(24), pages 1-14, December.
    13. Danielle H. Lee, 2019. "Predicting the research performance of early career scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1481-1504, December.
    14. Josip Križanović & Miodrag Roić, 2023. "Development of a Methodology and Model for Land Administration Data Dissemination Processes," Land, MDPI, vol. 12(3), pages 1-19, March.
    15. Elizabeth S. Vieira & José A. N. F. Gomes, 2011. "The journal relative impact: an indicator for journal assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 631-651, November.
    16. Lindahl, Jonas, 2023. "Conscientiousness predicts doctoral students’ research productivity," Journal of Informetrics, Elsevier, vol. 17(1).
    17. Polat, Zeynel Abidin & Alkan, Mehmet & Paulsson, Jenny & Paasch, Jesper M. & Kalogianni, Eftychia, 2022. "Global scientific production on LADM-based research: A bibliometric analysis from 2012 to 2020," Land Use Policy, Elsevier, vol. 112(C).
    18. Zerbino, Pierluigi & Stefanini, Alessandro & Aloini, Davide, 2021. "Process Science in Action: A Literature Review on Process Mining in Business Management," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    19. Zhang, Lin & Glänzel, Wolfgang, 2012. "Proceeding papers in journals versus the “regular” journal publications," Journal of Informetrics, Elsevier, vol. 6(1), pages 88-96.
    20. João M. Fernandes & Paulo Cortez, 2020. "Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2773-2792, December.
    21. Zheng Xie & Yanwu Li & Zhemin Li, 2020. "Assessing and predicting the quality of research master’s theses: an application of scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 953-972, August.

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