Scientific mobility

Since 2016 I have been working along with other colleagues on the development of methodologies to track mobility of scientists and better understand globalization in science. This website comprises a list of publications and presentations related with mobility of scientists.

GLOBAL ANALYSES


Scientists have most impact when they’re free to move

This study analyzes geographical mobility of scientists worldwide relying on bibliometric data. The findings of the analysis of researchers’ global mobility reveals that limiting the circulation of scholars will damage the scientific system. This study was published in Nature and had a big impact in news media and social media. Although still not fully developed, it employed the taxonomy of mobility types later published in Journal of Informetrics.

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Travel bans and scientific mobility: Utility to inform science policy

This study serves as a proof-of-concept of the utility of asymmetry and affinity indexes for collaboration and mobility. It explores the international profiles in collaboration and mobility of countries included in the so-called ‘‘travel bans’’ implemented by US President Trump as executive order in 2017.

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A global comparison of scientific mobility and collaboration according to national scientific capacities

This study compares the flows of mobile researchers and the number of publications in international collaboration within the context of scientific and economic capacities. The goal is to identify the convergence or discrepancy of countries in mobility and collaboration and determine the positions and relative influence of countries in both processes.

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METHODOLOGICAL STUDIES

The many faces of mobility: Using bibliometric data to measure the movement of scientists

In this paper we propose a taxonomy of mobility types when tracking mobility of scientists using bibliometric data. We basically propose two types of mobility: travellers and migrants. The first are those who never leave their country of origin despite gaining additional countries in their affiliation linkages, while the second stop being affiliated to their country of origin.

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Scientific mobility indicators in practice: International mobility profiles at the country level

This paper presents and describes the methodological opportunities offered by bibliometric data to produce indicators of scientific mobility. We explore the possibility of creating profiles of international mobility at the country level, and discuss potential interpretations and caveats. Five countries (Canada, The Netherlands, South Africa, Spain, and the United States) are used as examples.

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REGIONAL STUDIES

Foreign born scientists and non-academic collaboration in the United States

Academics are no longer the isolated scientists and engineers. Collaboration is the norm of science, and the co-production of academic research with non-academics is recognized as critical to producing research that can lead to broader impacts. Less understood, however, is how the expanding foreign-born academic workforce in the United States contributes to this co-production. We examine the preferences of foreign-born faculty in the U.S. to collaborate with a range of non-academic institutions, in the U.S. and abroad. We use data from a robust national survey and related lifetime bibliometric data to analyze these collaborative patterns.

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Beyond the Western Core-Periphery Model: Analysing Scientific Mobility and Collaboration in the Middle East and North Africa

This study investigates the scientific mobility and international collaboration networks in the Middle East and North Africa (MENA) region between 2008 and 2017. The main goal is to establish mobility and collaboration profiles at the region and country levels. By using affiliation metadata available in scientific publications, we track international scientific mobility and collaboration networks in the region. Three complementary approaches allow us to obtain a detailed characterization of scientific mobility: mobility flows for each country, mobile scientists’ academic age, and gender differences of scholars.

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