Skip to main content
Log in

Internal migration of scientists in Russia and the USA: the case of physicists

  • Published:
Scientometrics Aims and scope Submit manuscript

A Correction to this article was published on 20 October 2017

This article has been updated

Abstract

When scientists change jobs, they bring to their new workplace the experience, tacit knowledge and social ties they acquired at their previous workplace. Not only is the level of mobility important when discussing knowledge transfer between academic organizations or between regions, but the topology of a mobility network is also of crucial importance. This study presents a comparison of the structure of internal migration networks for Russian and American physicists, more specifically for scholars working in the field of applied physics. The comparison resulted in the set of hypotheses of how the features of the network are connected to the overall scientific productivity of the system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Change history

  • 20 October 2017

    The original article was published without an acknowledgment section. The complete acknowledgment section is given below.

Notes

  1. Apart from studies concerning mobility either in the academic or in the R&D sector, there are works dealing with cross-sector mobility, such as labor flows from academia to business (Crespi et al. 2007; Elsevier 2013).

  2. To obtain the total number of publications in the applied physics field the Web of Science subject categories were used.

  3. The sample was designed in spring 2015.

  4. When the researchers from the sample are referred to as 'Russian' or 'American' it neither denotes nationality nor citizenship, but simply the fact that researcher was working in the country. The distinction is particularly important in case of the USA, which hosts hundreds of thousands foreign researchers, many of them on a temporary basis (Auriol et al. 2013).

  5. Web of Science spelling is used.

  6. The maps were built with GPS Visualizer tool available at http://www.gpsvisualizer.com/.

  7. While the meaningful interpretation to the "survival rates" is not possible, because they are partly the artefact of our data gathering procedures, the mobility rates can be interpreted as characteristics of reality, not the procedures.

  8. In case of Russia one can hear from the experts that some universities receiving extra funding from the government for boosting research use the tactics of "acquiring the affiliations", a case similar to the one with Saudi institutions (Bhattacharjee 2011).

  9. The international links were measured through the temporary labor migration abroad.

References

  • Abbasi, A. (2013). h-Type hybrid centrality measures for weighted networks. Scientometrics, 96(2), 633–640.

    Article  Google Scholar 

  • Agrawal, A., Cockburn, I., & McHale, J. (2006). Gone but not forgotten: Knowledge flows, labor mobility, and enduring social relationships. Journal of Economic Geography, 6(5), 571–591.

    Article  Google Scholar 

  • Almeida, P., & Kogut, B. (1999). Localization of knowledge and the mobility of engineers in regional networks. Management Science, 45(7), 905–917.

    Article  Google Scholar 

  • Arrieta, O. A. D., Pammolli, F., & Petersen, A. M. (2017). Quantifying the negative impact of brain drain on the integration of European science. Science Advances, 3(4), e1602232.

    Article  Google Scholar 

  • Auriol, L., Misu, M., & Freeman, R. A. (2013). Careers of doctorate holders: Analysis of labour market and mobility indicators. OECD Science, Technology and Industry Working Papers, 2013/04. OECD Publishing.

  • Bauder, H. (2015). The international mobility of academics: A labour market perspective. International Migration, 53(1), 83–96.

    Article  Google Scholar 

  • Bhattacharjee, Y. (2011). Saudi universities offer cash in exchange for academic prestige. Science, 334(6061), 1344–1345.

    Article  Google Scholar 

  • Bin, A., Carneiro, A. M., Salles-Filho, S., & Colugnati, F. A. (2015). Employment, research performance and decentralization: The experience and perspectives of doctorate holders in Brazil. Science and Public Policy, 42(5), 646–660.

    Article  Google Scholar 

  • Burt, R. S. (2004). Structural holes and good ideas. American Journal of Sociology, 110(2), 349–399.

    Article  Google Scholar 

  • Cañibano, C., Otamendi, J., & Andújar, I. (2008). Measuring and assessing researcher mobility from CV analysis: The case of the Ramón y Cajal programme in Spain. Research Evaluation, 17(1), 17–31.

    Article  Google Scholar 

  • Cañibano, C., Otamendi, F. J., & Solís, F. (2011). International temporary mobility of researchers: A cross-discipline study. Scientometrics, 89(2), 653–675.

    Article  Google Scholar 

  • Casper, S. (2007). How do technology clusters emerge and become sustainable? Social network formation and inter-firm mobility within the San Diego biotechnology cluster. Research Policy, 36(4), 438–455.

    Article  Google Scholar 

  • Crespi, G. A., Geuna, A., & Nesta, L. (2007). The mobility of university inventors in Europe. The Journal of Technology Transfer, 32(3), 195–215.

    Article  Google Scholar 

  • Deville, P., Wang, D., Sinatra, R., Song, C., Blondel, V. D., & Barabási, A. L. (2014). Career on the move: Geography, stratification, and scientific impact. Scientific Reports, 4, 4770.

    Article  Google Scholar 

  • Dezhina, I. G. (Ed.). (2015). Intersectoral mobility of scientific workforce. Moscow: IMEMO. (in Russian).

    Google Scholar 

  • Elsevier. (2013). International comparative performance of the UK Research Base—2013. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/263729/bis-13-1297-international-comparative-performance-of-the-UK-research-base-2013.pdf.

  • Franzoni, C., Scellato, G., & Stephan, P. (2012). Foreign-born scientists: Mobility patterns for 16 countries. Nature Biotechnology, 30(12), 1250–1253.

    Article  Google Scholar 

  • Gaule, P. (2014). Who comes back and when? Return migration decisions of academic scientists. Economics Letters, 124(3), 461–464.

    Article  Google Scholar 

  • Gibson, J., & McKenzie, D. (2014). Scientific mobility and knowledge networks in high emigration countries: Evidence from the Pacific. Research Policy, 43(9), 1486–1495.

    Article  Google Scholar 

  • Jonkers, K., & Tijssen, R. (2008). Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity. Scientometrics, 77(2), 309–333.

    Article  Google Scholar 

  • Kaiser, U., Kongsted, H. C., & Rønde, T. (2015). Does the mobility of R&D labor increase innovation? Journal of Economic Behavior & Organization, 110, 91–105.

    Article  Google Scholar 

  • Kale, D., Wield, D., & Chataway, J. (2008). Diffusion of knowledge through migration of scientific labour in India. Science and Public Policy, 35(6), 417–430.

    Article  Google Scholar 

  • Kim, J., & Marschke, G. (2005). Labor mobility of scientists, technological diffusion, and the firm’s patenting decision. RAND Journal of Economics, 36(2), 298–317.

    Google Scholar 

  • Korobkov, A. V., & Zaionchkovskaia, Z. A. (2012). Russian brain drain: Myths v. reality. Communist and Post-Communist Studies, 45(3), 327–341.

    Article  Google Scholar 

  • Llobrera, J. T., Meyer, D. R., & Nammacher, G. (2000). Trajectories of industrial districts: Impact of strategic intervention in medical districts. Economic Geography, 76(1), 68–98.

    Article  Google Scholar 

  • Oettl, A., & Agrawal, A. (2008). International labor mobility and knowledge flow externalities. Journal of International Business Studies, 39(8), 1242–1260.

    Article  Google Scholar 

  • Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41(1), 116–145.

    Article  Google Scholar 

  • Ruef, M. (2002). Strong ties, weak ties and islands: Structural and cultural predictors of organizational innovation. Industrial and Corporate Change, 11(3), 427–449.

    Article  Google Scholar 

  • Scellato, G., Franzoni, C., & Stephan, P. (2015). Migrant scientists and international networks. Research Policy, 44(1), 108–120.

    Article  Google Scholar 

  • Teichler, U. (2015). Academic mobility and migration: What we know and what we do not know. European Review, 23(S1), S6–S37.

    Article  Google Scholar 

  • Trippl, M. (2013). Scientific mobility and knowledge transfer at the interregional and intraregional level. Regional Studies, 47(10), 1653–1667.

    Article  Google Scholar 

  • Uddin, S., Hossain, L., Abbasi, A., & Rasmussen, K. (2012). Trend and efficiency analysis of co-authorship network. Scientometrics, 90(2), 687–699.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ekaterina L. Dyachenko.

Additional information

A correction to this article is available online at https://doi.org/10.1007/s11192-017-2553-1.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dyachenko, E.L. Internal migration of scientists in Russia and the USA: the case of physicists. Scientometrics 113, 105–122 (2017). https://doi.org/10.1007/s11192-017-2478-8

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-017-2478-8

Keywords

Navigation