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The migration of scholars is a major driver of innovation and of diffusion ofknowledge. Although large-scale bibliometric data have been used to measureinternational migration of scholars, our understanding of internal migrationamong researchers is very limited. This is partly due to a lack of dataaggregated at a suitable sub-national level. In this study, we analyze internalmigration in Mexico based on over 1.1 million authorship records from theScopus database. We trace the movements of scholars between Mexican states, andprovide key demographic measures of internal migration for the 1996-2018period. From a methodological perspective, we develop a new framework forenhancing data quality, inferring states from affiliations, and detecting movesfrom modal states for the purposes of studying internal migration amongresearchers. Substantively, we combine demographic and network sciencetechniques to improve our understanding of internal migration patterns withincountry boundaries. The migration patterns between states in Mexico appear tobe heterogeneous in size and direction across regions. However, while manyscholars remain in their regions, there seems to be a preference for MexicoCity and the surrounding states as migration destinations. We observed thatover the past two decades, there has been a general decreasing trend in thecrude migration intensity. However, the migration network has become more denseand more diverse, and has included greater exchanges between states along theGulf and the Pacific Coast. Our analysis, which is mostly empirical in nature,lays the foundations for testing and developing theories that can rely on theanalytical framework developed by migration scholars, and the richness ofappropriately processed bibliometric data.

Scholarly migration within Mexico: Analyzing internal migration among researchers using Scopus longitudinal bibliometric data