IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/14841.html

VOSviewer: A Computer Program for Bibliometric Mapping

Author

Listed:
  • van Eck, N.J.P.
  • Waltman, L.

Abstract

We present VOSviewer, a computer program that we have developed for constructing and viewing bibliometric maps. VOSviewer combines the VOS mapping technique and an advanced viewer into a single easy-to-use computer program that is freely available to the bibliometric research community. Our aim in this paper is to provide an overview of the functionality of VOSviewer and to elaborate on the technical implementation of specific parts of the program.

Suggested Citation

  • van Eck, N.J.P. & Waltman, L., 2009. "VOSviewer: A Computer Program for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2009-005-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.
  • Handle: RePEc:ems:eureri:14841
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/14841/ERS-2009-005-LIS.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ludo Waltman & Nees Jan van Eck, 2007. "Some comments on the question whether co‐occurrence data should be normalized," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(11), pages 1701-1703, September.
    2. Howard D. White, 2003. "Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(5), pages 423-434, March.
    3. Richard Klavans & Kevin W. Boyack, 2006. "Quantitative evaluation of large maps of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 475-499, September.
    4. Jalil, M.N. & Zuidwijk, R.A. & Fleischmann, M. & van Nunen, J.A.E.E., 2009. "Spare Parts Logistics and Installed Base Information," ERIM Report Series Research in Management ERS-2009-002-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.
    5. 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.
    6. Michel Zitt & Elise Bassecoulard & Yoshiko Okubo, 2000. "Shadows of the Past in International Cooperation: Collaboration Profiles of the Top Five Producers of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(3), pages 627-657, March.
    7. Waltman, L. & van Eck, N.J.P., 2007. "Some Comments on the Question Whether Co-occurrence Data Should Be Normalized," ERIM Report Series Research in Management ERS-2007-017-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.
    8. Peters, H. P. F. & van Raan, A. F. J., 1993. "Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling," Research Policy, Elsevier, vol. 22(1), pages 23-45, February.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    3. Cathelijn J. F. Waaijer & Cornelis A. Bochove & Nees Jan Eck, 2011. "On the map: Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 99-112, January.
    4. Juntao Zheng & Niancai Liu, 2015. "Mapping of important international academic awards," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 763-791, September.
    5. Francisco García-Lillo & Enrique Claver-Cortés & Bartolomé Marco-Lajara & Mercedes Úbeda-García, 2017. "Mapping the Intellectual Structure of Research on ‘Born Global’ Firms and INVs: A Citation/Co-citation Analysis," Management International Review, Springer, vol. 57(4), pages 631-652, August.
    6. Ugo Finardi, 2015. "Scientific collaboration between BRICS countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1139-1166, February.
    7. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    8. 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.
    9. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    10. van Eck, N.J.P. & Waltman, L., 2007. "Appropriate Similarity Measures for Author Cocitation Analysis," ERIM Report Series Research in Management ERS-2007-091-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.
    11. Ba Xuan Nguyen & Markus Luczak-Roesch & Jesse David Dinneen, 2024. "Do research collaborations age like wine? Absolute and relative measures of CANZUK research partnerships’ strength since the 1950s," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-24, April.
    12. Guan, Jiancheng & Liu, Na, 2015. "Invention profiles and uneven growth in the field of emerging nano-energy," Energy Policy, Elsevier, vol. 76(C), pages 146-157.
    13. Cristian Colliander & Per Ahlgren, 2012. "Experimental comparison of first and second-order similarities in a scientometric context," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 675-685, February.
    14. Francesco Paolo Appio & Fabrizio Cesaroni & Alberto Minin, 2014. "Visualizing the structure and bridges of the intellectual property management and strategy literature: a document co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 623-661, October.
    15. Candelaria Barrios & Esther Flores & M. Ángeles Martínez & Marta Ruiz-Martínez, 2019. "Is there convergence in international research collaboration? An exploration at the country level in the basic and applied science fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 631-659, August.
    16. 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.
    17. Nubia Yaneth Gómez Velasco & Orlando Gregorio Chaviano & Alba Lorena Ballesteros Alfonso, 2021. "Dynamics of Colombian Scientific Production in Economics: A Bibliometric Study in Scopus 2007-2019," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 95, pages 277-309, July-Dece.
    18. Rongying Zhao & Bikun Chen, 2014. "Applying author co-citation analysis to user interaction analysis: a case study on instant messaging groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 985-997, November.
    19. Francesco Paolo Appio & Antonella Martini & Silvia Massa & Stefania Testa, 2016. "Unveiling the intellectual origins of Social Media-based innovation: insights from a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 355-388, July.
    20. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Cassidy R. Sugimoto, 2021. "An empirical review of the different variants of the probabilistic affinity index as applied to scientific collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1775-1795, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:ems:eureri:14841. 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: RePub The email address of this maintainer does not seem to be valid anymore. Please ask RePub to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    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.