IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v60y2023i1d10.1007_s12597-022-00576-2.html
   My bibliography  Save this article

Healthcare management and COVID-19: data-driven bibliometric analytics

Author

Listed:
  • Monalisha Pattnaik

    (Sambalpur University)

Abstract

Healthcare management and COVID-19 has been broadly studied during the recent few days, especially after declaration of the COVID-19 outbreak in almost all countries in the world. Therefore, the present research article aims to provide an extensive overview of the scientific literature about the study of healthcare management and COVID-19 for choosing the new topic of related research. It conducts four types of analyses where the first analysis is a trend analysis and other three analyses are related to network and density maps. The second analysis is analyzed decisively in order to produce all keywords, author keywords and index keywords co-occurrence network map and country co-authorship network map and tables summarizing the significant scientific trends under the present topics. The third analysis is analyzed purposefully in order to produce all documents, journals, authors and countries bibliographic coupling network maps and tables summarizing the significant scientific trends. The last analysis provides valuable approaching of the most significant used keywords on the research topic and the links among them using keyword co-occurrence network and density maps respectively.

Suggested Citation

  • Monalisha Pattnaik, 2023. "Healthcare management and COVID-19: data-driven bibliometric analytics," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 234-255, March.
    • Handle: RePEc:spr:opsear:v:60:y:2023:i:1:d:10.1007_s12597-022-00576-2
    DOI: 10.1007/s12597-022-00576-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-022-00576-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12597-022-00576-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Luca Urciuoli & Juha Hintsa, 2018. "Improving supply chain risk management - can additional data help?," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 30(2), pages 195-224.
    2. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jagjeevan Kanoujiya & Shailesh Rastogi, 2024. "Nexus between efficiency and financial distress of listed firms in India: a comparative study using frontier techniques," OPSEARCH, Springer;Operational Research Society of India, vol. 61(2), pages 835-866, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jacob Wood & Gohar Feroz Khan, 2015. "International trade negotiation analysis: network and semantic knowledge infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 537-556, October.
    2. Yingjin Song & Ruiyi Li & Guanyi Chen & Beibei Yan & Lei Zhong & Yuxin Wang & Yihang Li & Jinlei Li & Yingxiu Zhang, 2021. "Bibliometric Analysis of Current Status on Bioremediation of Petroleum Contaminated Soils during 2000–2019," IJERPH, MDPI, vol. 18(16), pages 1-20, August.
    3. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    4. Niccolò Comerio & Fernanda Strozzi, 2019. "Tourism and its economic impact: A literature review using bibliometric tools," Tourism Economics, , vol. 25(1), pages 109-131, February.
    5. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Romero-Castro, Noelia María & Pérez-Pico, Ada María, 2020. "Innovation, entrepreneurship and knowledge in the business scientific field: Mapping the research front," Journal of Business Research, Elsevier, vol. 115(C), pages 475-485.
    6. Maria Lourdes Ordoñez Olivo & Zoltán Lakner, 2023. "Shaping the Knowledge Base of Bioeconomy Sectors Development in Latin American and Caribbean Countries: A Bibliometric Analysis," Sustainability, MDPI, vol. 15(6), pages 1-18, March.
    7. Akinpelu, O.A. & Olaleye, O. & Fagbola, O., 2023. "The Soil Organic Matter Decomposers: A Bibliometric Analysis," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 9(4), August.
    8. Muhammad Farooq Islam & Ozge Can, 2024. "Integrating digital and sustainable entrepreneurship through business models: a bibliometric analysis," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 14(1), pages 1-18, December.
    9. Urša Golob & Mark A. P. Davies & Joachim Kernstock & Shaun M. Powell, 2020. "Trending topics plus future challenges and opportunities in brand management," Journal of Brand Management, Palgrave Macmillan, vol. 27(2), pages 123-129, March.
    10. Natalya Ivanova & Ekaterina Zolotova, 2023. "Landolt Indicator Values in Modern Research: A Review," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    11. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    12. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    13. J. Gómez-Verjan & I. Gonzalez-Sanchez & E. Estrella-Parra & R. Reyes-Chilpa, 2015. "Trends in the chemical and pharmacological research on the tropical trees Calophyllum brasiliense and Calophyllum inophyllum, a global context," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1019-1030, November.
    14. Luis Araya-Castillo & Felipe Hernández-Perlines & Hugo Moraga & Antonio Ariza-Montes, 2021. "Scientometric Analysis of Research on Socioemotional Wealth," Sustainability, MDPI, vol. 13(7), pages 1-26, March.
    15. Juan F. Prados-Castillo & Miguel Ángel Solano-Sánchez & Pilar Guaita Fernández & José Manuel Guaita Martínez, 2023. "Potential of the Crypto Economy in Financial Management and Fundraising for Tourism," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    16. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    17. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Paolo Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
    18. Tuba Bircan & Almila Alkim Akdag Salah, 2022. "A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    19. Kumari, Rajni & Kumar, Manish & Vivekanand, V. & Pareek, Nidhi, 2023. "Chitin biorefinery: A narrative and prophecy of crustacean shell waste sustainable transformation into bioactives and renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    20. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opsear:v:60:y:2023:i:1:d:10.1007_s12597-022-00576-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.