IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i3bp1012-1026.html
   My bibliography  Save this article

Leading Research by Institutions and Authors: A Modern Research Analysis

Author

Listed:
  • Wieslawa Gryncewicz
  • Monika Sitarska-Buba

Abstract

Purpose: The article concludes on the importance of scientometric analysis in the process of finding partners for scientific cooperation. Design/Methodology/Approach: Scientometric analysis. Findings: The paper quantitatively characterizes the literature thematically related to the area of data science. The scientometric method was used and the Scopus database was the source of data for analysis. The study made it possible to determine when the first publications on data science appeared and how the dynamics of the growth of the literature in this range developed in years 2006-2021. The authors identified leading researchers and their area of interest, along with having reported statistics that describe top countries, institutions, subject areas, and founding sponsors. Practical Implications: Executing scientific analysis can help to identify institutions and researchers to build cooperation partneship. Originality/value: Our study has shown developing areas of data science methodology to identify leading institutions and researchers.

Suggested Citation

  • Wieslawa Gryncewicz & Monika Sitarska-Buba, 2021. "Leading Research by Institutions and Authors: A Modern Research Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 1012-1026.
    • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:3b:p:1012-1026
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2554/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Johan Almenberg & Annamaria Lusardi & Jenny Säve‐Söderbergh & Roine Vestman, 2021. "Attitudes towards Debt and Debt Behavior," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(3), pages 780-809, July.
    2. Tandon, Anushree & Kaur, Puneet & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Blockchain applications in management: A bibliometric analysis and literature review," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Wieslawa Gryncewicz & Monika Sitarska-Buba, 2021. "Data Science in Decision-Making Processes: A Scientometric Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 1061-1074.
    4. Vivek Kumar Singh & Ashraf Uddin & David Pinto, 2015. "Computer science research: the top 100 institutions in India and in the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 529-553, August.
    5. B. M. Gupta & Avinash Kshitij & Charu Verma, 2011. "Mapping of Indian computer science research output, 1999–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 261-283, February.
    6. Suresh Kumar & K. C. Garg, 2005. "Scientometrics of computer science research in India and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 121-132, August.
    7. Daphne R. Raban & Avishag Gordon, 2020. "The evolution of data science and big data research: A bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1563-1581, March.
    8. Donthu, Naveen & Kumar, Satish & Pattnaik, Debidutta, 2020. "Forty-five years of Journal of Business Research: A bibliometric analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 1-14.
    9. Caviggioli, Federico & Ughetto, Elisa, 2019. "A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society," International Journal of Production Economics, Elsevier, vol. 208(C), pages 254-268.
    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. Wieslawa Gryncewicz & Monika Sitarska-Buba, 2021. "Data Science in Decision-Making Processes: A Scientometric Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 1061-1074.

    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. Vivek Kumar Singh & Sumit Kumar Banshal & Khushboo Singhal & Ashraf Uddin, 2015. "Scientometric mapping of research on ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 727-741, November.
    2. Ashraf Uddin & Vivek Kumar Singh & David Pinto & Ivan Olmos, 2015. "Scientometric mapping of computer science research in Mexico," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 97-114, October.
    3. Sai Bhargavi Vedula & Rakesh Kumar Agrawal, 2024. "Mapping Spiritual Leadership: A Bibliometric Analysis and Synthesis of Past Milestones and Future Research Agenda," Journal of Business Ethics, Springer, vol. 189(2), pages 301-328, January.
    4. Vivek Kumar Singh & Ashraf Uddin & David Pinto, 2015. "Computer science research: the top 100 institutions in India and in the world," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(2), pages 529-553, August.
    5. Aswathy Sreenivasan & M. Suresh, 2023. "Green Start-ups: Start-ups Accelerating Sustainability," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 80-89, June.
    6. Yadav, Neetu & Kumar, Roopesh & Malik, Ashish, 2022. "Global developments in coopetition research: A bibliometric analysis of research articles published between 2010 and 2020," Journal of Business Research, Elsevier, vol. 145(C), pages 495-508.
    7. Shome, Samik & Hassan, M. Kabir & Verma, Sushma & Panigrahi, Tushar Ranjan, 2023. "Impact investment for sustainable development: A bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 770-800.
    8. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2024. "On the basis of research on ‘green’ in the disciplines of management and business," Journal of Business Research, Elsevier, vol. 172(C).
    9. Tandon, Anushree & Kaur, Puneet & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Blockchain applications in management: A bibliometric analysis and literature review," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    10. Dalibor Fiala & Gabriel Tutoky, 2017. "Computer Science Papers in Web of Science: A Bibliometric Analysis," Publications, MDPI, vol. 5(4), pages 1-16, September.
    11. Camil Demetrescu & Irene Finocchi & Andrea Ribichini & Marco Schaerf, 2022. "On computer science research and its temporal evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4913-4938, August.
    12. Chukwuemeka Valentine Okolo & Jun Wen & Kibir Kolani, 2024. "Research Assessment on the Extreme Social Events in Africa—Evidence from a Bibliometric Analysis Using Web of Science and CiteSpace," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11449-11494, September.
    13. Krunal K. Punjani & Kala Mahadevan & Angappa Gunasekaran & V. V. Ravi Kumar & Sujata Joshi, 2023. "Cloud computing in agriculture: a bibliometric and network visualization analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3849-3883, August.
    14. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    15. Philip Schnorpfeil & Michael Weber & Andreas Hackethal & Michael Weber, 2023. "Households’ Response to the Wealth Effects of Inflation," CESifo Working Paper Series 10648, CESifo.
    16. 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.
    17. Jean-Charles Bricongne & Leonor Coutinho & Alessandro Turrini & Stefan Zeugner, 2020. "Is Private Debt Excessive?," Open Economies Review, Springer, vol. 31(2), pages 471-512, April.
    18. Wirapong Chansanam & Chunqiu Li, 2022. "Scientometrics of Poverty Research for Sustainability Development: Trend Analysis of the 1964–2022 Data through Scopus," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    19. Satish Kumar & Filomena Maggino & Raj V. Mahto & Riya Sureka & Leonardo Salvatore Alaimo & Weng Marc Lim, 2022. "Social Indicators Research: A Retrospective Using Bibliometric Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 162(1), pages 413-448, July.
    20. Francisco García-Lillo & Eduardo Sánchez-García & Bartolomé Marco-Lajara & Pedro Seva-Larrosa, 2023. "Renewable Energies and Sustainable Development: A Bibliometric Overview," Energies, MDPI, vol. 16(3), pages 1-22, January.

    More about this item

    Keywords

    Data science; bibliometric analysis; visualization map.;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General

    Statistics

    Access and download statistics

    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:ers:journl:v:xxiv:y:2021:i:3b:p:1012-1026. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.