IDEAS home Printed from https://ideas.repec.org/p/dem/wpaper/wp-2022-019.html
   My bibliography  Save this paper

Homecoming after Brexit: evidence on academic migration from bibliometric data

Author

Listed:
  • Asli Ebru Şanlitürk

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Samin Aref

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Emilio Zagheni

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Francesco C. Billari

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

No abstract is available for this item.

Suggested Citation

  • Asli Ebru Şanlitürk & Samin Aref & Emilio Zagheni & Francesco C. Billari, 2022. "Homecoming after Brexit: evidence on academic migration from bibliometric data," MPIDR Working Papers WP-2022-019, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2022-019
    DOI: 10.4054/MPIDR-WP-2022-019
    as

    Download full text from publisher

    File URL: https://www.demogr.mpg.de/papers/working/wp-2022-019.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.4054/MPIDR-WP-2022-019?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
    ---><---

    References listed on IDEAS

    as
    1. Azoulay, Pierre & Ganguli, Ina & Graff Zivin, Joshua, 2017. "The mobility of elite life scientists: Professional and personal determinants," Research Policy, Elsevier, vol. 46(3), pages 573-590.
    2. Fabian Waldinger, 2016. "Bombs, Brains, and Science: The Role of Human and Physical Capital for the Creation of Scientific Knowledge," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 811-831, December.
    3. Vincent Larivière & Chaoqun Ni & Yves Gingras & Blaise Cronin & Cassidy R. Sugimoto, 2013. "Bibliometrics: Global gender disparities in science," Nature, Nature, vol. 504(7479), pages 211-213, December.
    4. Moed, H. F. & Burger, W. J. M. & Frankfort, J. G. & Van Raan, A. F. J., 1985. "The use of bibliometric data for the measurement of university research performance," Research Policy, Elsevier, vol. 14(3), pages 131-149, June.
    5. Petra Moser & Alessandra Voena & Fabian Waldinger, 2014. "German Jewish ?migr?s and US Invention," American Economic Review, American Economic Association, vol. 104(10), pages 3222-3255, October.
    6. Ciriaco Andrea D’Angelo & Nees Jan Eck, 2020. "Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 883-907, May.
    7. Hirotaka Kawashima & Hiroyuki Tomizawa, 2015. "Accuracy evaluation of Scopus Author ID based on the largest funding database in Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1061-1071, June.
    8. Ana Fernández-Zubieta & Aldo Geuna & Cornelia Lawson, 2016. "Productivity pay-offs from academic mobility: should I stay or should I go?," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(1), pages 91-114.
    9. Valeria Aman, 2018. "Does the Scopus author ID suffice to track scientific international mobility? A case study based on Leibniz laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 705-720, November.
    10. Martin, Ben R. & Irvine, John, 1993. "Assessing basic research : Some partial indicators of scientific progress in radio astronomy," Research Policy, Elsevier, vol. 22(2), pages 106-106, April.
    11. Alexander Subbotin & Samin Aref, 2020. "Brain drain and brain gain in Russia: analyzing international mobility of researchers by discipline using Scopus bibliometric data 1996-2020," MPIDR Working Papers WP-2020-025, Max Planck Institute for Demographic Research, Rostock, Germany.
    12. Mathias Czaika & Christopher R. Parsons, 2017. "The Gravity of High-Skilled Migration Policies," Demography, Springer;Population Association of America (PAA), vol. 54(2), pages 603-630, April.
    13. Zaida Chinchilla-Rodríguez & Yi Bu & Nicolás Robinson-García & Rodrigo Costas & Cassidy R. Sugimoto, 2018. "Travel bans and scientific mobility: utility of asymmetry and affinity indexes to inform science policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 569-590, July.
    14. Nane, Gabriela F. & Larivière, Vincent & Costas, Rodrigo, 2017. "Predicting the age of researchers using bibliometric data," Journal of Informetrics, Elsevier, vol. 11(3), pages 713-729.
    15. Rosalind S. Hunter & Andrew J. Oswald & Bruce G. Charlton, 2009. "The Elite Brain Drain," Economic Journal, Royal Economic Society, vol. 119(538), pages 231-251, June.
    16. Henk F. Moed & M’hamed Aisati & Andrew Plume, 2013. "Studying scientific migration in Scopus," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 929-942, March.
    17. Stuart Gietel-Basten, 2016. "Why Brexit? The Toxic Mix of Immigration and Austerity," Population and Development Review, The Population Council, Inc., vol. 42(4), pages 673-680, December.
    18. Agrawal, Ajay & McHale, John & Oettl, Alexander, 2017. "How stars matter: Recruiting and peer effects in evolutionary biology," Research Policy, Elsevier, vol. 46(4), pages 853-867.
    19. Alexander Subbotin & Samin Aref, 2021. "Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7875-7900, September.
    20. Sandra Krapf & Michaela Kreyenfeld & Katharina Wolf, 2016. "Gendered Authorship and Demographic Research: An Analysis of 50 Years of Demography," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1169-1184, August.
    21. Grit Laudel, 2003. "Studying the brain drain: Can bibliometric methods help?," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(2), pages 215-237, June.
    22. Robinson-Garcia, Nicolás & Sugimoto, Cassidy R. & Murray, Dakota & Yegros-Yegros, Alfredo & Larivière, Vincent & Costas, Rodrigo, 2019. "The many faces of mobility: Using bibliometric data to measure the movement of scientists," Journal of Informetrics, Elsevier, vol. 13(1), pages 50-63.
    23. Rosalind S Hunter, 2009. "The Elite Brain Drain," Working Papers id:2048, eSocialSciences.
    24. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    25. Scellato, Giuseppe & Franzoni, Chiara & Stephan, Paula, 2015. "Migrant scientists and international networks," Research Policy, Elsevier, vol. 44(1), pages 108-120.
    26. Xinyi Zhao & Samin Aref & Emilio Zagheni & Guy Stecklov, 2022. "Return migration of German-affiliated researchers: analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7707-7729, December.
    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. Aliakbar Akbaritabar & Tom Theile & Emilio Zagheni, 2023. "Global flows and rates of international migration of scholars," MPIDR Working Papers WP-2023-018, Max Planck Institute for Demographic Research, Rostock, Germany.

    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. Momeni, Fakhri & Karimi, Fariba & Mayr, Philipp & Peters, Isabella & Dietze, Stefan, 2022. "The many facets of academic mobility and its impact on scholars' career," Journal of Informetrics, Elsevier, vol. 16(2).
    2. Xinyi Zhao & Samin Aref & Emilio Zagheni & Guy Stecklov, 2022. "Return migration of German-affiliated researchers: analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7707-7729, December.
    3. Liu, Meijun & Hu, Xiao, 2022. "Movers’ advantages: The effect of mobility on scientists’ productivity and collaboration," Journal of Informetrics, Elsevier, vol. 16(3).
    4. Gomez, Charles J. & Herman, Andrew C. & Parigi, Paolo, 2020. "Moving more, but closer: Mapping the growing regionalization of global scientific mobility using ORCID," Journal of Informetrics, Elsevier, vol. 14(3).
    5. Robinson-Garcia, Nicolás & Sugimoto, Cassidy R. & Murray, Dakota & Yegros-Yegros, Alfredo & Larivière, Vincent & Costas, Rodrigo, 2019. "The many faces of mobility: Using bibliometric data to measure the movement of scientists," Journal of Informetrics, Elsevier, vol. 13(1), pages 50-63.
    6. Chang, Ying-Han & Huang, Mu-Hsuan, 2023. "Analysis of factors affecting scientific migration move and distance by academic age, migrant type, and country: Migrant researchers in the field of business and management," Journal of Informetrics, Elsevier, vol. 17(1).
    7. Zhao, Zhenyue & Bu, Yi & Kang, Lele & Min, Chao & Bian, Yiyang & Tang, Li & Li, Jiang, 2020. "An investigation of the relationship between scientists’ mobility to/from China and their research performance," Journal of Informetrics, Elsevier, vol. 14(2).
    8. Constance Poitras & Vincent Larivière, 2023. "Research mobility to the United States: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2601-2614, April.
    9. Agarwal, Ruchir & Ganguli, Ina & Gaulé, Patrick & Smith, Geoff, 2023. "Why U.S. immigration matters for the global advancement of science," Research Policy, Elsevier, vol. 52(1).
    10. Liu, Meijun & Hu, Xiao, 2021. "Will collaborators make scientists move? A Generalized Propensity Score analysis," Journal of Informetrics, Elsevier, vol. 15(1).
    11. Raquel Carrasco & Javier Ruiz-Castillo, 2019. "Spatial mobility in elite academic institutions in economics: the case of Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 141-172, June.
    12. Baruffaldi, Stefano H. & Marino, Marianna & Visentin, Fabiana, 2020. "Money to move: The effect on researchers of an international mobility grant," Research Policy, Elsevier, vol. 49(8).
    13. Aliakbar Akbaritabar & Tom Theile & Emilio Zagheni, 2023. "Global flows and rates of international migration of scholars," MPIDR Working Papers WP-2023-018, Max Planck Institute for Demographic Research, Rostock, Germany.
    14. Fernandez-Zubieta, Ana & Geuna, Aldo & Lawson, Cornelia, 2015. "What do We Know of the Mobility of Research Scientists and of its Impact on Scientific Production," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201522, University of Turin.
    15. Alexander Subbotin & Samin Aref, 2021. "Brain drain and brain gain in Russia: Analyzing international migration of researchers by discipline using Scopus bibliometric data 1996–2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7875-7900, September.
    16. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    17. Valeria Aman, 2022. "Internationally mobile scientists as knowledge transmitters: A lexical‐based approach to detect knowledge transfer," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(10), pages 1418-1431, October.
    18. 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.
    19. Pedro Albarrán & Raquel Carrasco & Javier Ruiz-Castillo, 2017. "Are Migrants More Productive Than Stayers? Some Evidence From A Set Of Highly Productive Academic Economists," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1308-1323, July.
    20. Ciriaco Andrea D’Angelo & Nees Jan Eck, 2020. "Collecting large-scale publication data at the level of individual researchers: a practical proposal for author name disambiguation," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 883-907, May.

    More about this item

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:dem:wpaper:wp-2022-019. 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: Peter Wilhelm (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    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.