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Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research

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  • Mario Coccia

    (CNR, National Research Council of Italy)

Abstract

Evolution of science and behavior of new research fields emerging under conditions of crisis are new topics hardly known in social studies of science and scientometrics. In particular, the ecosystem and dynamics of research fields during crisis are vital aspects for explaining and planning the scientific development, and allocating resources efficaciously toward positive societal impact. This study here endeavors to analyze the evolution and structure of COVID-19 (Coronavirus Disease 2019) research, a new research field emerged and driven by a global pandemic crisis. The dynamics and structure of this research field are compared to related fields concerning respiratory disorders that are not guided by pandemic crisis, such as chronic obstructive pulmonary disease and lung cancer, to explain similarities and differences. Results suggest that a crisis-driven research field is characterized by an unparalleled velocity of scientific production equal to about 1.2% daily, based on notes and short papers mainly open access that support scientific advances and discoveries in research arena over a short period of time, such as the development of innovative drugs given by novel vaccines and new antiviral COVID-19 treatments. Findings are generalized in properties that clarify the evolution and structure of new research fields and their research behavior in a period of crisis for guiding decisions of policymakers to support scientific and technological progress in human society in the presence of environmental threats.

Suggested Citation

  • Mario Coccia, 2021. "Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(12), pages 9405-9429, December.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:12:d:10.1007_s11192-021-04172-x
    DOI: 10.1007/s11192-021-04172-x
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    References listed on IDEAS

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    1. Coccia, Mario, 2019. "The theory of technological parasitism for the measurement of the evolution of technology and technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 289-304.
    2. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Zhang, Huiling & Pang, Hongshen, 2021. "Multidimensional Scientometric indicators for the detection of emerging research topics," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    3. Mario Coccia, 2020. "The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 451-487, July.
    4. Mario Coccia & Barry Bozeman, 2016. "Allometric models to measure and analyze the evolution of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1065-1084, September.
    5. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 0. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
    6. Coccia, Mario, 2008. "Measuring scientific performance of public research units for strategic change," Journal of Informetrics, Elsevier, vol. 2(3), pages 183-194.
    7. E. Sachini & K. Sioumalas-Christodoulou & C. Chrysomallidis & G. Siganos & N. Bouras & N. Karampekios, 2021. "COVID-19 enabled co-authoring networks: a country-case analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5225-5244, June.
    8. Mario Coccia, 2018. "General properties of the evolution of research fields: a scientometric study of human microbiome, evolutionary robotics and astrobiology," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1265-1283, November.
    9. De Roeck, Albert, 2016. "The probability of discovery," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 13-19.
    10. Daniele Fanelli & Wolfgang Glänzel, 2013. "Bibliometric Evidence for a Hierarchy of the Sciences," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
    11. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    12. Kevin W. Boyack & Katy Börner & Richard Klavans, 2009. "Mapping the structure and evolution of chemistry research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 45-60, April.
    13. Lin Zhang & Wenjing Zhao & Beibei Sun & Ying Huang & Wolfgang Glänzel, 2020. "How scientific research reacts to international public health emergencies: a global analysis of response patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 747-773, July.
    14. Milad Haghani & Michiel C. J. Bliemer, 2020. "Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2695-2726, December.
    15. Saeed Roshani & Mohammad-Reza Bagherylooieh & Melika Mosleh & Mario Coccia, 2021. "What is the relationship between research funding and citation-based performance? A comparative analysis between critical disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7859-7874, September.
    16. Jiban K. Pal, 2021. "Visualizing the knowledge outburst in global research on COVID-19," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4173-4193, May.
    17. Simone Belli & Rogério Mugnaini & Joan Baltà & Ernest Abadal, 2020. "Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2661-2685, September.
    18. R Maria del Rio-Chanona & Penny Mealy & Anton Pichler & François Lafond & J Doyne Farmer, 2020. "Supply and demand shocks in the COVID-19 pandemic: an industry and occupation perspective," Oxford Review of Economic Policy, Oxford University Press, vol. 36(Supplemen), pages 94-137.
    19. Mario COCCIA, 2017. "Disruptive firms and industrial change," Journal of Economic and Social Thought, KSP Journals, vol. 4(4), pages 437-450, December.
    20. Mario Coccia, 2020. "How ( Un )sustainable Environments Are Related to the Diffusion of COVID-19: The Relation between Coronavirus Disease 2019, Air Pollution, Wind Resource and Energy," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    21. Loet Leydesdorff, 2015. "Can intellectual processes in the sciences also be simulated? The anticipation and visualization of possible future states," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2197-2214, December.
    22. Nicola Di Girolamo & Reint Meursinge Reynders, 2020. "Characteristics of scientific articles on COVID-19 published during the initial 3 months of the pandemic," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 795-812, October.
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    Cited by:

    1. Coccia, Mario, 2022. "Probability of discoveries between research fields to explain scientific and technological change," Technology in Society, Elsevier, vol. 68(C).
    2. Lu Zhou & Yingmin Tao & Xiaozhen Su & Xiyin Chen & Liang Li & Qingyan Fu & Juan Xie & Renjie Chen, 2022. "Short-Term Associations between Size-Fractioned Particles and Cardiopulmonary Function in COPD Patients: A Panel Study in Shanghai, China, during 2014–2021," IJERPH, MDPI, vol. 19(19), pages 1-12, September.
    3. Török, Ádám & Konka, Boglárka & Nagy, Andrea Magda, 2023. "A koronavírus-járvány a közgazdasági szakirodalomban. Egy új határterület tudománymetriai elemzése [The coronavirus pandemic in the economics literature. The scientometric analysis of a new discipl," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 284-304.

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