IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v127y2022i10d10.1007_s11192-022-04475-7.html
   My bibliography  Save this article

Combining Web of Science and Scopus datasets in citation-based literature study

Author

Listed:
  • Miika Kumpulainen

    (Tampere University)

  • Marko Seppänen

    (Tampere University)

Abstract

Scientific research builds on previous studies and scientifically proven knowledge. Researchers must master the recent developments in the field when designing research to answer new questions. Today, the accessibility of research literature is abundant due to digitized publications, extensive coverage of citation indexes, and several literature databases. The means for conducting systematic literature reviews have greatly improved. In recent years, a lot of research with methods, such as systematic literature reviews, literature mapping, and visualizing studies, has been published. Despite the tools having been perfected, they still have limitations. Particularly, database selection for a literature search sets a bias, because the citation indexes differ in coverage according to the scientific domain. In this paper, bibliometric data from two citation indexes (Web of Science and Scopus) are combined for the purposes of bibliometric analyses in the context of inter-firm relationships. The combination process requires a lot of unifying and repairing of data in practice that is referred as data wrangling. This study describes the process steps and the lessons learned and considers the amount of effort required.

Suggested Citation

  • Miika Kumpulainen & Marko Seppänen, 2022. "Combining Web of Science and Scopus datasets in citation-based literature study," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5613-5631, October.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:10:d:10.1007_s11192-022-04475-7
    DOI: 10.1007/s11192-022-04475-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-022-04475-7
    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/s11192-022-04475-7?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. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    2. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    3. Chaomei Chen & Fidelia Ibekwe‐SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple‐perspective cocitation analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    4. Chaomei Chen & Fidelia Ibekwe-SanJuan & Jianhua Hou, 2010. "The structure and dynamics of cocitation clusters: A multiple-perspective cocitation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(7), pages 1386-1409, July.
    5. Yu-Wei Chang & Mu-Hsuan Huang & Chiao-Wen Lin, 2015. "Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2071-2087, December.
    6. Jarneving, Bo, 2007. "Bibliographic coupling and its application to research-front and other core documents," Journal of Informetrics, Elsevier, vol. 1(4), pages 287-307.
    7. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    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. Kaihan Yang & Ai Chin Thoo, 2023. "Visualising the Knowledge Domain of Reverse Logistics and Sustainability Performance: Scientometric Mapping Based on VOSviewer and CiteSpace," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    2. Lazuardi Imani Hakam & Eeng Ahman & Disman Disman & Hari Mulyadi & Dzikri Firmansyah Hakam, 2023. "Exploring Trends in Innovation within Digital Economy Research: A Scientometric Analysis," Economies, MDPI, vol. 11(11), pages 1-25, November.
    3. Ibe Delvaux & Wendy Broeck, 2023. "Social Marketing and the Sustainable Development Goals: Scoping Review (2013–2021)," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 20(3), pages 573-603, September.
    4. Marco Ferreira Ribeiro & Carla Gomes da Costa & Filipe R. Ramos, 2024. "Exploring Purpose-Driven Leadership: Theoretical Foundations, Mechanisms, and Impacts in Organizational Context," Administrative Sciences, MDPI, vol. 14(7), pages 1-33, July.
    5. Claudia N. Gonzalez Brambila & José I. Ponce & Silvia B. Gonzalez Brambila & Matias F. Milia, 2023. "Determining the Characteristics of Papers That Garner the Most Significant Impact: A Deep Dive into Mexican Engineering Publications," Publications, MDPI, vol. 11(4), pages 1-14, September.
    6. Chioma Sylvia Okoro, 2023. "Sustainable Facilities Management in the Built Environment: A Mixed-Method Review," Sustainability, MDPI, vol. 15(4), pages 1-26, February.
    7. Salman, Mohamed & Sorokin, Vladislav & Aw, Kean, 2024. "Systematic literature review of wave energy harvesting using triboelectric nanogenerator," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).
    8. Rosangela de Araújo Santos & Eduardo Oliveira Teles & Francisco Gaudêncio Mendonça Freires, 2024. "Applying the Circular Economy Framework to Blockchain Agricultural Production," Sustainability, MDPI, vol. 16(18), pages 1-17, September.
    9. Lina Pilelienė & Viktorija Grigaliūnaitė & Yuliya Bogoyavlenska, 2024. "A Bibliometric Review of Innovations in Sustainable Tourism Research: Current Trends and Future Research Agenda," Sustainability, MDPI, vol. 16(16), pages 1-28, August.
    10. Lina Pilelienė & Giedrius Jucevičius, 2023. "A Decade of Innovation Ecosystem Development: Bibliometric Review of Scopus Database," Sustainability, MDPI, vol. 15(23), pages 1-26, November.
    11. Dušan Nikolić & Dragan Ivanović & Lidija Ivanović, 2024. "An open-source tool for merging data from multiple citation databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4573-4595, July.
    12. Mustafa Shetaw & Louis Gyoh & Michael Gerges & Nenpin Dimka, 2024. "A Bibliometric Review of Indoor Environment Quality Research and Its Effects on Occupant Productivity (2011–2023)," Sustainability, MDPI, vol. 16(22), pages 1-32, November.
    13. Chioma Okoro & Marie Mangwi Ayaba, 2023. "Research Trends and Directions on Real Estate Investment Trusts’ Performance Risks," Sustainability, MDPI, vol. 15(6), pages 1-20, March.

    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. Pin Li & Guoli Yang & Chuanqi Wang, 2019. "Visual topical analysis of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1753-1791, December.
    2. García-Lillo, Francisco & Seva-Larrosa, Pedro & Sánchez-García, Eduardo, 2023. "What is going on in entrepreneurship research? A bibliometric and SNA analysis," Journal of Business Research, Elsevier, vol. 158(C).
    3. 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).
    4. Wang Guizhou & Zhang Si & Yu Tao & Ning Yu, 2021. "A Systematic Overview of Blockchain Research," Journal of Systems Science and Information, De Gruyter, vol. 9(3), pages 205-238, June.
    5. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    6. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    7. Yun, Jinhyuk & Ahn, Sejung & Lee, June Young, 2020. "Return to basics: Clustering of scientific literature using structural information," Journal of Informetrics, Elsevier, vol. 14(4).
    8. Chaturvedi, Rijul & Verma, Sanjeev & Das, Ronnie & Dwivedi, Yogesh K., 2023. "Social companionship with artificial intelligence: Recent trends and future avenues," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    9. Jianhua Hou & Xiucai Yang & Chaomei Chen, 2018. "Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 869-892, May.
    10. Maximilian Scheffler & Johannes Brunzel, 2020. "Destructive leadership in organizational research: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 755-775, October.
    11. Song Yanhui & Wu Lijuan & Qiu Junping, 2021. "A comparative study of first and all-author bibliographic coupling analysis based on Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1125-1147, February.
    12. Domicián Máté & Ni Made Estiyanti & Adam Novotny, 2024. "How to support innovative small firms? Bibliometric analysis and visualization of start-up incubation," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-26, December.
    13. 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.
    14. Worapan Kusakunniran & Amit Singh Dahal & Wantanee Viriyasitavat, 2018. "Journal Co-Citation Analysis for Identifying Trends of Inter-Disciplinary Research: An Exploratory Case Study in a University," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-22, December.
    15. Katalin Orosz & Illés J. Farkas & Péter Pollner, 2016. "Quantifying the changing role of past publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 829-853, August.
    16. Kamal Sanguri & Atanu Bhuyan & Sabyasachi Patra, 2020. "A semantic similarity adjusted document co-citation analysis: a case of tourism supply chain," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 233-269, October.
    17. Khuram, Shahzad & Rehman, Ch. Abdul & Nasir, Nadia & Elahi, Natasha Saman, 2023. "A bibliometric analysis of quality assurance in higher education institutions: Implications for assessing university's societal impact," Evaluation and Program Planning, Elsevier, vol. 99(C).
    18. Munan Li, 2019. "Visualizing the studies on smart cities in the past two decades: a two-dimensional perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 683-705, August.
    19. Mercedes Rodríguez‐Fernández & Ana I. Gaspar‐González & Eva M. Sánchez‐Teba, 2020. "Sustainable social responsibility through stakeholders engagement," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(6), pages 2425-2436, November.
    20. Saulo Cardoso Maia & Gideon Carvalho Benedicto & José Willer Prado & David Alastair Robb & Oscar Neto Almeida Bispo & Mozar José Brito, 2019. "Mapping the literature on credit unions: a bibliometric investigation grounded in Scopus and Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 929-960, September.

    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:scient:v:127:y:2022:i:10:d:10.1007_s11192-022-04475-7. 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.