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Retrieval strategy and possible explanations for the abnormal growth of research publications: re-evaluating a bibliometric analysis of climate change

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  • Fang Liu

    (Zhejiang University of Finance and Economics)

Abstract

Climate change and global warming have attracted more and more attention from countries all over the world. A recent study published in Scientometrics has evaluated the changing dynamics of climate change-related research publications via a bibliometric analysis and further probed the relationship between climate change-related research output and carbon dioxide emissions. We try to re-evaluate the bibliometric analysis section of the mentioned study and provide three improvement suggestions related to data source, search field and search query respectively. Besides, some new explanations have also been offered for the abnormal increase of research outputs indexed by Web of Science Core Collection in specific years such as 1991. These suggestions and explanations will provide important references for future various bibliometric analyses and research evaluation.

Suggested Citation

  • Fang Liu, 2023. "Retrieval strategy and possible explanations for the abnormal growth of research publications: re-evaluating a bibliometric analysis of climate change," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 853-859, January.
    • Handle: RePEc:spr:scient:v:128:y:2023:i:1:d:10.1007_s11192-022-04540-1
    DOI: 10.1007/s11192-022-04540-1
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    References listed on IDEAS

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    1. Guangyuan Hu & Lei Wang & Rong Ni & Weishu Liu, 2020. "Which h-index? An exploration within the Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1225-1233, June.
    2. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    3. Kai Li & Jason Rollins & Erjia Yan, 2018. "Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 1-20, April.
    4. Raf Vanderstraeten & Frédéric Vandermoere, 2021. "Inequalities in the growth of Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8635-8651, October.
    5. X. Cai & C. V. Fry & C. S. Wagner, 2021. "International collaboration during the COVID-19 crisis: autumn 2020 developments," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3683-3692, April.
    6. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    7. Carolin Michels & Ulrich Schmoch, 2012. "The growth of science and database coverage," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 831-846, December.
    8. Liu, Weishu, 2021. "Caveats for the use of Web of Science Core Collection in old literature retrieval and historical bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    9. Diana Hicks & Paul Wouters & Ludo Waltman & Sarah de Rijcke & Ismael Rafols, 2015. "Bibliometrics: The Leiden Manifesto for research metrics," Nature, Nature, vol. 520(7548), pages 429-431, April.
    10. Weishu Liu & Li Tang & Guangyuan Hu, 2020. "Funding information in Web of Science: an updated overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1509-1524, March.
    11. M. Gouveia & R. Inglesi-Lotz, 2021. "Examining the relationship between climate change-related research output and CO2 emissions," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9069-9111, November.
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