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The study examines potential differences in socioeconomic status (SES) and emigration patterns between Greek international students (IS) and non-international students (non-IS) and their relationship to the brain drain from Greece.

The study draws on a unique database including all the Greek PhD holders and provides detailed information on their SES and mobility patterns. Furthermore, an individual-level SES index is constructed including both human capital and socioeconomic indicators to estimate the magnitude of the brain drain in terms of the SES that emigrated abroad between 1,985 and 2,018.

First, Greek IS have a higher educational, professional and economic status compared to Greek non-IS. Moreover, they exhibit a more international profile, inasmuch as they are more likely to remain abroad after graduation to seek employment. Second, the magnitude of the brain drain in terms of SES emigrated abroad (22.5% of the total) is greater than in terms of individuals who moved abroad (13.4% of the total). Specifically, the SES that outflows with an additional Greek skilled emigrant (that is, an additional IS and non-IS residing abroad) is 1.1 times greater than the SES that remains in Greece with an additional non-IS residing in Greece.

The study contributes to the scientific discussion that relates the SES of IS and highly skilled migrants to brain drain and fills the gap in the relevant literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0607.

The study aims to investigate the impact of highly skilled emigration from Greece on the innovation performance of the Greek economy.

The study draws on a new, census-scale, database that includes all the Greek Ph.D. holders and on statistical information pooled from various secondary sources.

The mass emigration of highly educated Greek scientists that was exacerbated during the ten-year recession has had detrimental effects on Greece's innovation performance. Specifically, an increase in the number of highly skilled emigrants has a negative impact on scientific citations and on patent applications during the following year. An instrumental variable approach based on gravity model literature is employed to test the authors’ findings. The potential effects of these findings and policy suggestions are also discussed.

The study enriches the academic and policy discussion on the science and technology–related consequences of brain drain on the origin country. This is the first study that focuses on Greece – the country which experienced the highest emigration rates within the EU during the severe ten-year economic crisis – and sheds light on the impact of skilled emigration on its innovation performance.

The purpose of this paper is to identify the geographical location of researchers.

Combine standard bibliometric databases with social media data.

The majority of the population of the sample (71.8%) – Greek chemical engineers – are static. A significant portion of the mobile researchers (28.2%) returned to their country of origin (25.6%). Performing network analysis, the cluster of countries corresponding to the mobile category of researchers is identified and depicted.

Herein, this study introduce a new, national data set on doctorate holders that will allow multiple bibliometric analyses in the future. Also, this study is among the few (Gendronneau et al., 2019) that combines standard bibliometric databases with social media data. In cases where multiple affiliations per year pose a difficulty in understanding the geographical location of each individual, LinkedIn data were used. The analysis sheds light on a field of science that is not extensively examined in terms of brain circulation. While similar publications focus on physicians (i.e. cardiologists – Dyachenko and Mironenko, 2018), this paper focus on a subset of doctorate holders in engineering.