IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v67y2016i3p741-748.html
   My bibliography  Save this article

Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons

Author

Listed:
  • Loet Leydesdorff
  • Gaston Heimeriks
  • Daniele Rotolo

Abstract

Using Web-of-Science data, portfolio analysis in terms of journal coverage can be projected on a base map for units of analysis such as countries, cities, universities, and firms. The units of analysis under study can be compared statistically across the 10,000+ journals. The interdisciplinarity of the portfolios is measured using Rao-Stirling diversity or the 2D3 measure proposed by Zhang et al. (2015). At the country level we find regional differentiation (e.g., Latin-American or Asian countries), but also a major divide between advanced and less-developed countries. Israel and Israeli cities outperform other nations and cities in terms of diversity. Universities appear to be specifically related to firms when a number of these units are exploratively compared. The instrument is relatively simple and straightforward, and one can generalize the application to any document set retrieved from the Web-of-Science (WoS). Further instruction is provided online at http://www.leydesdorff.net/portfolio.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Loet Leydesdorff & Gaston Heimeriks & Daniele Rotolo, 2016. "Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 741-748, March.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:3:p:741-748
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1002/asi.23551
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. André Lorentz & Tommaso Ciarli & Maria Savona & Marco Valente, 2016. "The effect of demand-driven structural transformations on growth and technological change," Journal of Evolutionary Economics, Springer, vol. 26(1), pages 219-246, March.
    2. Richard Van Noorden, 2010. "Cities: Building the best cities for science," Nature, Nature, vol. 467(7318), pages 906-908, October.
    3. Lawson, Cornelia & Geuna, Aldo & Ana Fernández-Zubieta & Toselli, Manuel & Kataishi, Rodrigo, 2015. "International Careers of Researchers in Biomedical Sciences: A Comparison of the US and the UK," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201514, University of Turin.
    4. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    5. Loet Leydesdorff & Ismael Rafols & Chaomei Chen, 2013. "Interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal–journal citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(12), pages 2573-2586, December.
    6. Ismael Rafols & Alan L. Porter & Loet Leydesdorff, 2010. "Science overlay maps: A new tool for research policy and library management," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(9), pages 1871-1887, September.
    7. Geuna, Aldo & Kataishi, Rodrigo & Toselli, Manuel & Guzmán, Eduardo & Lawson, Cornelia & Fernandez-Zubieta, Ana & Barros, Beatriz, 2015. "SiSOB data extraction and codification: A tool to analyze scientific careers," Research Policy, Elsevier, vol. 44(9), pages 1645-1658.
    8. Rotolo, Daniele & Hicks, Diana & Martin, Ben R., 2015. "What is an emerging technology?," Research Policy, Elsevier, vol. 44(10), pages 1827-1843.
    9. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2011. "Document-type country profiles," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(7), pages 1403-1411, July.
    10. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    11. Stapleton, Lee & Sorrell, Steve & Schwanen, Tim, 2016. "Estimating direct rebound effects for personal automotive travel in Great Britain," Energy Economics, Elsevier, vol. 54(C), pages 313-325.
    12. Matthew L. Wallace & Ismael Rafols, 2015. "Research portfolios in science policy: moving from financial returns to societal benefits," SPRU Working Paper Series 2015-10, SPRU - Science Policy Research Unit, University of Sussex Business School.
    13. Fabiana Moreno & Alex Coad, 2015. "High-Growth Firms: Stylized Facts and Conflicting Results," SPRU Working Paper Series 2015-05, SPRU - Science Policy Research Unit, University of Sussex Business School.
    14. 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.
    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. Roman Jurowetzki, 2015. "Unpacking Big Systems - Natural Language Processing meets Network Analysis. A Study of Smart Grid Development in Denmark," SPRU Working Paper Series 2015-15, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Javier López González & Valentina Meliciani & Maria Savona, 2019. "When Linder meets Hirschman: inter-industry linkages and global value chains in business services," Industrial and Corporate Change, Oxford University Press, vol. 28(6), pages 1555-1586.
    3. 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.
    4. Janaina Pamplona da Costa, 2015. "Network (Mis)Alignment, Technology Policy and Innovation: The Tale of Two Brazilian Cities," SPRU Working Paper Series 2015-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    5. Phil Johnstone & Andy Stirling, 2015. "Comparing Nuclear Power Trajectories inGermany And the UK: From ‘Regimes’ to ‘Democracies’ in Sociotechnical Transitions and Discontinuities," SPRU Working Paper Series 2015-18, SPRU - Science Policy Research Unit, University of Sussex Business School.
    6. Jungjoon Kim & Sangpil Lee & We Shim & Jongseok Kang, 2016. "A Mapping of Marine Biodiversity Research Trends and Collaboration in the East Asia Region from 1996–2015," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    7. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    8. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    9. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.

    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. Roman Jurowetzki, 2015. "Unpacking Big Systems - Natural Language Processing meets Network Analysis. A Study of Smart Grid Development in Denmark," SPRU Working Paper Series 2015-15, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Wallace, Matthew L. & Ràfols, Ismael, 2018. "Institutional shaping of research priorities: A case study on avian influenza," Research Policy, Elsevier, vol. 47(10), pages 1975-1989.
    3. Stapleton, Lee & Sorrell, Steve & Schwanen, Tim, 2016. "Estimating direct rebound effects for personal automotive travel in Great Britain," Energy Economics, Elsevier, vol. 54(C), pages 313-325.
    4. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    5. Janaina Pamplona da Costa, 2015. "Network (Mis)Alignment, Technology Policy and Innovation: The Tale of Two Brazilian Cities," SPRU Working Paper Series 2015-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    6. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    7. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    8. 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.
    9. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    10. Sándor Soós & Zsófia Vida & András Schubert, 2018. "Long-term trends in the multidisciplinarity of some typical natural and social sciences, and its implications on the SSH versus STM distinction," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 795-822, March.
    11. Lorenzo Cassi & Wilfriedo Mescheba & Élisabeth Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1871-1895, December.
    12. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    13. Qiuju Zhou & Ronald Rousseau & Liying Yang & Ting Yue & Guoliang Yang, 2012. "A general framework for describing diversity within systems and similarity between systems with applications in informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 787-812, December.
    14. Loet Leydesdorff & Stephen Carley & Ismael Rafols, 2013. "Global maps of science based on the new Web-of-Science categories," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 589-593, February.
    15. Yoshi-aki Shimada & Jun Suzuki, 2017. "Promoting scientodiversity inspired by biodiversity," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1463-1479, December.
    16. Leydesdorff, Loet & Bornmann, Lutz & Zhou, Ping, 2016. "Construction of a pragmatic base line for journal classifications and maps based on aggregated journal-journal citation relations," Journal of Informetrics, Elsevier, vol. 10(4), pages 902-918.
    17. Leydesdorff, Loet & Rafols, Ismael, 2011. "Indicators of the interdisciplinarity of journals: Diversity, centrality, and citations," Journal of Informetrics, Elsevier, vol. 5(1), pages 87-100.
    18. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    19. Zhou, Yuan & Dong, Fang & Kong, Dejing & Liu, Yufei, 2019. "Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 205-220.
    20. Mason Youngblood & David Lahti, 2018. "A bibliometric analysis of the interdisciplinary field of cultural evolution," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-9, December.

    More about this item

    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:bla:jinfst:v:67:y:2016:i:3:p:741-748. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    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.