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COVID-19 enabled co-authoring networks: a country-case analysis

Author

Listed:
  • E. Sachini

    (National Documentation Centre)

  • K. Sioumalas-Christodoulou

    (National Documentation Centre)

  • C. Chrysomallidis

    (National Documentation Centre)

  • G. Siganos

    (National Documentation Centre)

  • N. Bouras

    (National Documentation Centre)

  • N. Karampekios

    (National Documentation Centre)

Abstract

In this paper we seek to examine the co-authoring pattern of a select group of researchers that are affiliated with a specific country. By way of making use of standard bibliometric analysis, we explore the publication evolution of all COVID-19-related peer reviewed papers that have been (co)-authored by researchers that are affiliated with Greek institutions. The aim is to identify its advancement over time, the institutions involved and the countries with which the co-authors are affiliated with. The timeframe of the study spans from the moment that WHO Director-General declared the novel coronavirus outbreak a public health emergency of international concern (WHO, 2020. Archived: WHO timeline-covid-19. Retrieved from Archived: Who Timeline-COVID-19. https://www.who.int/news/item/27-04-2020-who-timeline---covid-19 . Accessed on 10 May 2020., Archived: WHO timeline-covid-19), January 2020, to October 2020. Findings indicate that there is a steady increase in the number of publications as well as the number of scientific collaborations over time. At a cross-country level, results suggest that the affiliated institutional sectors such as the Higher Education Sector (HES) and the Government Sector (GOV) contributed the most in terms of scientific output. On an international scale, the evolution of the scientific collaboration is imprinted and distributed as a chain of affiliations that linked nations together. Such chains are represented as clusters of countries, in which the scientific connections between different countries can be visualised. It can be reasoned that a significant amount of publications (20%) is affiliated with countries having “traditionally” major scientific impact on the field of Medicine.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:6:d:10.1007_s11192-021-03952-9
    DOI: 10.1007/s11192-021-03952-9
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    1. Giovanni Bonaccorsi & Francesco Pierri & Matteo Cinelli & Andrea Flori & Alessandro Galeazzi & Francesco Porcelli & Ana Lucia Schmidt & Carlo Michele Valensise & Antonio Scala & Walter Quattrociocchi , 2020. "Economic and social consequences of human mobility restrictions under COVID-19," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(27), pages 15530-15535, July.
    2. Marta Fana & Sergio Torrejón Pérez & Enrique Fernández-Macías, 2020. "Employment impact of Covid-19 crisis: from short term effects to long terms prospects," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 391-410, September.
    3. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    4. Adam Palayew & Ole Norgaard & Kelly Safreed-Harmon & Tue Helms Andersen & Lauge Neimann Rasmussen & Jeffrey V. Lazarus, 2020. "Pandemic publishing poses a new COVID-19 challenge," Nature Human Behaviour, Nature, vol. 4(7), pages 666-669, July.
    5. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    7. 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.
    8. J. Homolak & I. Kodvanj & D. Virag, 2020. "Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2687-2701, September.
    9. 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.
    10. Yuret, Tolga, 2017. "An analysis of the foreign-educated elite academics in the United States," Journal of Informetrics, Elsevier, vol. 11(2), pages 358-370.
    11. Caroline S. Wagner, 2018. "The Collaborative Era in Science," Palgrave Advances in Economics of Innovation and Technology, Palgrave Macmillan, number 978-3-319-94986-4, February.
    12. Theodore Mariolis & Nikolaos Rodousakis & George Soklis, 2021. "The COVID-19 multiplier effects of tourism on the Greek economy," Tourism Economics, , vol. 27(8), pages 1848-1855, December.
    13. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    14. Richard Blundell & Monica Costa Dias & Robert Joyce & Xiaowei Xu, 2020. "COVID‐19 and Inequalities," Fiscal Studies, John Wiley & Sons, vol. 41(2), pages 291-319, June.
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    2. Rubini, Lauretta & Pollio, Chiara & Barbieri, Elisa & Cattaruzzo, Sebastiano, 2024. "Changing structures in transnational research networks: An analysis of the impact of COVID-19 on China's scientific collaborations," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 281-297.
    3. 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.
    4. Mona Farouk Ali, 2022. "Between panic and motivation: did the first wave of COVID-19 affect scientific publishing in Mediterranean countries?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3083-3115, June.
    5. Konstantinos Sioumalas-Christodoulou, 2021. "Exploring the Intellectual Capital of a High Tech Industry: A Case Study of the Scientific Outputs of Defence Firms," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 11(3), pages 69-85.
    6. Ming-Sin Choong & Ying-Che Hsieh & Chan-Yuan Wong, 2024. "Resilient or Resistant: Pandemic Crisis and Early Observations of Different Preventive Capabilities from Cumulativeness of Scientific Research Points of View," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11976-12005, September.
    7. Shatha Mustafa Abdallah Al Qudah & José Luis Fuentes Bargues & Pablo Ferrer Gisbert, 2024. "The Effect of COVID-19 on the Research Trends on Project Risk Management and Achievement of Sustainable Development Goals," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14578-14596, September.

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