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Bibliometric method for mapping the state of the art of scientific production in Covid-19

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  • Mohadab, Mohamed El
  • Bouikhalene, Belaid
  • Safi, Said

Abstract

Global scientific production around the Covid-19 pandemic, in the various disciplines on the various international scientific bibliographic databases, has grown exponentially. The latter builds a source of scientific enrichment and an important lever for most researchers around the world, each of its field and its position with an ultimate aim of overcoming this pandemic. In this direction, bibliometric data constitute a fundamental source in the process of evaluation of scientific production in the academic world; bibliometrics provides researchers and institutions with crucial strategic information for the enhancement of their research results with the local and international scientific community, especially in this international pandemic.

Suggested Citation

  • Mohadab, Mohamed El & Bouikhalene, Belaid & Safi, Said, 2020. "Bibliometric method for mapping the state of the art of scientific production in Covid-19," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    • Handle: RePEc:eee:chsofr:v:139:y:2020:i:c:s0960077920304495
    DOI: 10.1016/j.chaos.2020.110052
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    References listed on IDEAS

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    Cited by:

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    2. Shaher H. Zyoud & Ahed H. Zyoud, 2021. "Coronavirus disease-19 in environmental fields: a bibliometric and visualization mapping analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8895-8923, June.
    3. Koel Roychowdhury & Radhika Bhanja & Sushmita Biswas, 2022. "Mapping the research landscape of Covid-19 from social sciences perspective: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4547-4568, August.
    4. Mohammad Ashraful Mobin & Masnun Mahi & M. Kabir Hassan & Marzia Habib & Shabiha Akter & Tahmina Hassan, 2023. "An analysis of COVID-19 and WHO global research roadmap: knowledge mapping and future research agenda," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 35-56, March.
    5. Nana Liu & Zeshui Xu & Marinko Skare, 2021. "The research on COVID-19 and economy from 2019 to 2020: analysis from the perspective of bibliometrics," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 217-268, June.
    6. Raghu Raman & Ricardo Vinuesa & Prema Nedungadi, 2021. "Bibliometric Analysis of SARS, MERS, and COVID-19 Studies from India and Connection to Sustainable Development Goals," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    7. Siyuan Wang & Zhouyang Gu, 2022. "Mapping the Field of Value Chain: A Bibliometric and Visualization Analysis," Sustainability, MDPI, vol. 14(12), pages 1-22, June.
    8. Devi Munandar & Budi Nurani Ruchjana & Atje Setiawan Abdullah & Hilman Ferdinandus Pardede, 2023. "Literature Review on Integrating Generalized Space-Time Autoregressive Integrated Moving Average (GSTARIMA) and Deep Neural Networks in Machine Learning for Climate Forecasting," Mathematics, MDPI, vol. 11(13), pages 1-25, July.
    9. Collins C. Okolie & Abiodun A. Ogundeji, 2022. "Effect of COVID-19 on agricultural production and food security: A scientometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.

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