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Evi Sachini

Biographic Data

ID5815080
NAMEEvi Sachini
GIVEN NAMESEvi
FAMILY NAMESachini
SIGNATURESACHINI E
AFFILIATIONSNational Public Health Organization
VERIFIEDNo
TOTAL WORKS7
TOTAL CITATIONS3
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Socioeconomic status of international students and its relation to the brain drain: Evidence from Greek PhD holders

    Open Access•Lois Labrianidis, Theodosis Sykas et al.•ARTICLE•International Journal of Social…•2024

    Purpose 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. Design/methodology/approach 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 in…

  • Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation

    Open Access•Evi Sachini, Konstantinos Sioumalas-Christodoulou et al.•ARTICLE•SN Social Sciences•2022

    In this paper, we seek to examine the network of the Greek National Documentation Centre (EKT) as formed by its LinkedIn followers. By applying specific data collection and processing techniques, we explore the network of all the individuals that follow EKT’s LinkedIn page. Significant manual and automatic approaches have been implemented with regard to data extraction, data curation and data homogenization. The aim is to identify the network’s a…

  • AI for AI: Using AI methods for classifying AI science documents

    Open Access•Evi Sachini, Konstantinos Sioumalas-Christodoulou et al.•ARTICLE•Quantitative Science Studies•2022

    Subject area classification is an important first phase in the entire process involved in bibliometrics. In this paper, we explore the possibility of using automated algorithms for classifying scientific papers related to Artificial Intelligence at the document level. The current process is semimanual and journal based, a realization that, we argue, opens up the potential for inaccuracies. To counter this, our proposed automated approach makes us…

  • Innovation as a cause of highly skilled migration: Evidence from Greece

    Open Access•Lois Labrianidis, Theodosis Sykas et al.•ARTICLE•International Migration•2022•Cited by: 1•References: 3

    This study investigates innovation as a cause of highly skilled migration. Drawing on a totally new database that includes all the Greek PhD holders, combined with panel data from the Global Innovation Index covering 57 countries over the 2009–2020 period, we find that innovation constitutes a strong determinant for highly skilled migration. That is, a rise in innovative performance is positively associated with an increase in the number of highl…

  • Covid-19 enabled co-authoring networks: A country-case analysis

    Open Access•Evi Sachini, Konstantinos Sioumalas-Christodoulou et al.•ARTICLE•Scientometrics•2021

    In this paper we seek to examine the co-authoring pattern of a select group of researchers that are affiliated with a specific country. By way of making use of standard bibliometric analysis, we explore the publication evolution of all COVID-19-related peer reviewed papers that have been (co)-authored by researchers that are affiliated with Greek institutions. The aim is to identify its advancement over time, the institutions involved and the cou…

  • Highly educated skilled migrants are attracted to global cities: The case of Greek PhD holders

    Open Access•Lois Labrianidis, Theodosis Sykas et al.•ARTICLE•Population Space and Place•2021•Cited by: 2•References: 19

    In this paper, we investigate to what extent highly educated skilled Greek migrants are attracted to global cities. With the use of a novel database, we find that highly educated Greek migrants are attracted more to cities indexed as global than to cities that are not indexed as global. Moreover, the more the international indexes that list a city as global, the greater the number of such migrants this city receives; that is, these migrants prefe…

  • Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower

    Open Access•Evi Sachini, Nikolaos Karampekios et al.•ARTICLE•Scientometrics•2020

  • Highly educated skilled migrants are attracted to global cities: The case of Greek PhD holders

    Open Access•Lois Labrianidis, Theodosis Sykas et al.•ARTICLE•Population Space and Place•2021•Cited by: 2•References: 19

    In this paper, we investigate to what extent highly educated skilled Greek migrants are attracted to global cities. With the use of a novel database, we find that highly educated Greek migrants are attracted more to cities indexed as global than to cities that are not indexed as global. Moreover, the more the international indexes that list a city as global, the greater the number of such migrants this city receives; that is, these migrants prefe…

  • Innovation as a cause of highly skilled migration: Evidence from Greece

    Open Access•Lois Labrianidis, Theodosis Sykas et al.•ARTICLE•International Migration•2022•Cited by: 1•References: 3

    This study investigates innovation as a cause of highly skilled migration. Drawing on a totally new database that includes all the Greek PhD holders, combined with panel data from the Global Innovation Index covering 57 countries over the 2009–2020 period, we find that innovation constitutes a strong determinant for highly skilled migration. That is, a rise in innovative performance is positively associated with an increase in the number of highl…

  • Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower

    Open Access•Evi Sachini, Nikolaos Karampekios et al.•ARTICLE•Scientometrics•2020

  • Covid-19 enabled co-authoring networks: A country-case analysis

    Open Access•Evi Sachini, Konstantinos Sioumalas-Christodoulou et al.•ARTICLE•Scientometrics•2021

    In this paper we seek to examine the co-authoring pattern of a select group of researchers that are affiliated with a specific country. By way of making use of standard bibliometric analysis, we explore the publication evolution of all COVID-19-related peer reviewed papers that have been (co)-authored by researchers that are affiliated with Greek institutions. The aim is to identify its advancement over time, the institutions involved and the cou…

  • Highly educated skilled migrants are attracted to global cities: The case of Greek PhD holders

    Open Access•Lois Labrianidis, Theodosis Sykas et al.•ARTICLE•Population Space and Place•2021•Cited by: 2•References: 19

    In this paper, we investigate to what extent highly educated skilled Greek migrants are attracted to global cities. With the use of a novel database, we find that highly educated Greek migrants are attracted more to cities indexed as global than to cities that are not indexed as global. Moreover, the more the international indexes that list a city as global, the greater the number of such migrants this city receives; that is, these migrants prefe…

  • Lessons for science and technology policy? Probing the Linkedin network of an RDI organisation

    Open Access•Evi Sachini, Konstantinos Sioumalas-Christodoulou et al.•ARTICLE•SN Social Sciences•2022

    In this paper, we seek to examine the network of the Greek National Documentation Centre (EKT) as formed by its LinkedIn followers. By applying specific data collection and processing techniques, we explore the network of all the individuals that follow EKT’s LinkedIn page. Significant manual and automatic approaches have been implemented with regard to data extraction, data curation and data homogenization. The aim is to identify the network’s a…

  • AI for AI: Using AI methods for classifying AI science documents

    Open Access•Evi Sachini, Konstantinos Sioumalas-Christodoulou et al.•ARTICLE•Quantitative Science Studies•2022

    Subject area classification is an important first phase in the entire process involved in bibliometrics. In this paper, we explore the possibility of using automated algorithms for classifying scientific papers related to Artificial Intelligence at the document level. The current process is semimanual and journal based, a realization that, we argue, opens up the potential for inaccuracies. To counter this, our proposed automated approach makes us…

  • Innovation as a cause of highly skilled migration: Evidence from Greece

    Open Access•Lois Labrianidis, Theodosis Sykas et al.•ARTICLE•International Migration•2022•Cited by: 1•References: 3

    This study investigates innovation as a cause of highly skilled migration. Drawing on a totally new database that includes all the Greek PhD holders, combined with panel data from the Global Innovation Index covering 57 countries over the 2009–2020 period, we find that innovation constitutes a strong determinant for highly skilled migration. That is, a rise in innovative performance is positively associated with an increase in the number of highl…

  • Socioeconomic status of international students and its relation to the brain drain: Evidence from Greek PhD holders

    Open Access•Lois Labrianidis, Theodosis Sykas et al.•ARTICLE•International Journal of Social…•2024

    Purpose 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. Design/methodology/approach 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 in…

Political science (5 works) · Computer Science (4 works) · Geography (4 works) · Sociology (4 works) · Demographic economics (3 works) · Economics (3 works) · Migration and Labor Dynamics (3 works) · scientometrics and bibliometrics research (3 works) · Bibliometrics (2 works) · Business (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae