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A comparison of two bibliometric methods for mapping of the research front

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  • Bo Jarneving

    (Swedish School of Library and Information Science)

Abstract

Summary This paper builds on previous research concerned with the classification and specialty mapping of research fields. Two methods are put to test in order to decide if significant differences as to mapping results of the research front of a science field occur when compared. The first method was based on document co-citation analysis where papers citing co-citation clusters were assumed to reflect the research front. The second method was bibliographic coupling where likewise citing papers were assumed to reflect the research front. The application of these methods resulted in two different types of aggregations of papers: (1) groups of papers citing clusters of co-cited works and (2) clusters of bibliographically coupled papers. The comparision of the two methods as to mapping results was pursued by matching word profiles of groups of papers citing a particular co-citation cluster with word profiles of clusters of bibliographically coupled papers. Findings suggested that the research front was portrayed in two considerably different ways by the methods applied. It was concluded that the results in this study would support a further comparative study of these methods on a more detailed and qualitative ground. The original data set encompassed 73,379 articles from the fifty most cited environmental science journals listed in Journal Citation Report, science edition downloaded from the Science Citation Index on CD-ROM.

Suggested Citation

  • Bo Jarneving, 2005. "A comparison of two bibliometric methods for mapping of the research front," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(2), pages 245-263, November.
  • Handle: RePEc:spr:scient:v:65:y:2005:i:2:d:10.1007_s11192-005-0270-7
    DOI: 10.1007/s11192-005-0270-7
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    Cited by:

    1. Błoński Krzysztof, 2022. "Dysfunctional Customer Behaviour — Bibliometric Analysis," Marketing of Scientific and Research Organizations, Sciendo, vol. 45(3), pages 1-16, October.
    2. Patrick Röhm, 2018. "Exploring the landscape of corporate venture capital: a systematic review of the entrepreneurial and finance literature," Management Review Quarterly, Springer, vol. 68(3), pages 279-319, August.
    3. Inchae Park & Keeeun Lee & Byungun Yoon, 2015. "Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field," Sustainability, MDPI, vol. 7(10), pages 1-30, October.
    4. Mu-hsuan Huang & Chia-Pin Chang, 2015. "A comparative study on detecting research fronts in the organic light-emitting diode (OLED) field using bibliographic coupling and co-citation," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2041-2057, March.
    5. Inchae Park & Byungun Yoon, 2018. "Identifying Promising Research Frontiers of Pattern Recognition through Bibliometric Analysis," Sustainability, MDPI, vol. 10(11), pages 1-32, November.
    6. Cai, Fang & Zheng, Wen-Jiang & Zhang, Xiao & Ji, Jiu-Ming & Zhou, Wei-Xing, 2019. "Comparing selection strategies for engineering research hotspots," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    7. Meng Qi & Xin Dai & Bei Zhang & Junjie Li & Bangfan Liu, 2023. "The Evolution and Future Prospects of China’s Wave Energy Policy from the Perspective of Renewable Energy: Facing Problems, Governance Optimization and Effectiveness Logic," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    8. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    9. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Jen Sim Ho, 2022. "Go Wild for a While? A Bibliometric Analysis of Two Themes in Tourism Demand Forecasting from 1980 to 2021: Current Status and Development," Data, MDPI, vol. 7(8), pages 1-38, July.
    10. Yu-Wei Chang & Mu-Hsuan Huang & Chiao-Wen Lin, 2015. "Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2071-2087, December.
    11. Ali Gazni & Fereshteh Didegah, 2016. "The relationship between authors’ bibliographic coupling and citation exchange: analyzing disciplinary differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 609-626, May.
    12. Belussi, Fiorenza & Orsi, Luigi & Savarese, Maria, 2019. "Mapping Business Model Research: A Document Bibliometric Analysis," Scandinavian Journal of Management, Elsevier, vol. 35(3).
    13. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    14. Angélica María Sánchez-Riofrío & Luis Ángel Guerras-Martín & Francisco Javier Forcadell, 2015. "Business portfolio restructuring: a comprehensive bibliometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1921-1950, March.
    15. Louis Lu & Bruce Lin & John Liu & Chang-Yung Yu, 2012. "Ethics in Nanotechnology: What’s Being Done? What’s Missing?," Journal of Business Ethics, Springer, vol. 109(4), pages 583-598, September.
    16. Wolfgang Ossadnik & Stefanie Schinke & Ralf H. Kaspar, 2016. "Group Aggregation Techniques for Analytic Hierarchy Process and Analytic Network Process: A Comparative Analysis," Group Decision and Negotiation, Springer, vol. 25(2), pages 421-457, March.
    17. Raphaël Maucuer & Alexandre Renaud & Sébastien Ronteau & Laurent Muzellec, 2022. "What can we learn from marketers? A bibliometric analysis of the marketing literature on business model research," Post-Print hal-03718522, HAL.
    18. Liu, Yunmei & Yang, Liu & Chen, Min, 2021. "A new citation concept: Triangular citation in the literature," Journal of Informetrics, Elsevier, vol. 15(2).
    19. Song Yanhui & Wu Lijuan & Qiu Junping, 2021. "A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1125-1147, February.
    20. Christian Sternitzke & Isumo Bergmann, 2009. "Similarity measures for document mapping: A comparative study on the level of an individual scientist," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 113-130, January.
    21. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    22. Hervas Oliver,Jose Luis & Gonzalez,Gregorio & Caja,Pedro, 2014. "Clusters and industrial districts: where is the literature going? Identifying emerging sub-fields of research," INGENIO (CSIC-UPV) Working Paper Series 201409, INGENIO (CSIC-UPV).
    23. Qiuyuan Lei & Muhammad Umer Quddoos Attari & Mustansar Hayat & Muhammad Munir Ahmad & Abdul Haseeb & Amir Rafique, 2023. "Mapping the Themes Underlying the Literature on Cross-Listing of Shares—A Contemporary Corporate Strategy of Sustainable Growth," Sustainability, MDPI, vol. 15(12), pages 1-26, June.

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