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 countries with which the co-authors are affiliated with. The timeframe of the study spans from the moment that WHO Director-General declared the novel coronavirus outbreak a public health emergency of international concern (WHO, 2020. Archived: WHO timeline-covid-19. Retrieved from Archived: Who Timeline-COVID-19.
https://www.who.int/news/item/27-04-2020-who-timeline---covid-19
. Accessed on 10 May 2020., Archived: WHO timeline-covid-19), January 2020, to October 2020. Findings indicate that there is a steady increase in the number of publications as well as the number of scientific collaborations over time. At a cross-country level, results suggest that the affiliated institutional sectors such as the Higher Education Sector (HES) and the Government Sector (GOV) contributed the most in terms of scientific output. On an international scale, the evolution of the scientific collaboration is imprinted and distributed as a chain of affiliations that linked nations together. Such chains are represented as clusters of countries, in which the scientific connections between different countries can be visualised. It can be reasoned that a significant amount of publications (20%) is affiliated with countries having “traditionally” major scientific impact on the field of Medicine.
Supplementary Information
The online version contains supplementary material available at 10.1007/s11192-021-03952-9.
Features variety, variations among organisations' needs and the plethora of powerful project and portfolio management (PPM) information systems in the market, make the selection process among various PPM information systems a complicated process. The large number of the evaluation criteria involved during the decision aggravates the problem. This paper addresses the limitation of the number of criteria in such complex decision problems. It develops a hybrid model that exploits the benefits of the group analytic hierarchy process (GAHP) along with the simplicity of the scoring model for justifying the final selection. The proposed approach permits consideration of much more criteria than the typical AHP approach can
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 highly skilled Greek migrants. We further find a two‐way causality between innovation and highly skilled migration. Namely an increase in the number of highly skilled Greek migrants positively affects innovative performance. While most of the recent studies have comprehensively addressed the positive effects of skilled migration on innovation, they have not looked at innovation as a determinant of highly skilled migration. We further discuss the potential implications of our findings on countries displaying low innovative performance coupled with brain drain.
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