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Datasets, working papers, and peer-reviewed articles produced by MultiObs researchers.

Showing 1–3 of 3

  1. Article2026Open Access
    Scientific mobility, prestige and topic alignment in research institutions(opens in a new tab)

    Ferreira, Márcia R.; Costas, Rodrigo; Servedio, Vito D. P.; Thurner, Stefan

    Research institutions are crucial in driving intellectual, social, and technological progress. Their ability to innovate depends mainly on their ability to attract, retain, and nurture scientific talent, ultimately making it available to other organizations, industries, or the economy. As researchers change institutions during their careers, their research topics also shift. The extent and mechanisms by which research institutions manage their internal portfolio of scientific topics through the attraction and deployment of researchers are far from well understood. We examine 25 million publication histories of 9.2 million scientists extracted from a large-scale bibliographic database covering thousands of research institutions worldwide to understand how the topics of mobile scientists align with those present in-house. We find a correlation between top-ranked institutions and greater topic alignment, i.e., the degree to which topics of incoming academics match those of their colleagues at the institution. We uncover a similarly high level of alignment among scientists leaving top-ranked institutions. The alignment of research topics in research institutions is more pronounced in engineering, life, health, earth, and physical sciences than in mathematics, computer science, social sciences, and the humanities. We show that institutions have generally become more closely aligned in their overall topic profile over the past two decades. We interpret these results in terms of the levels of proactive management of the composition of the scientific workforce and internal collaboration strategies at the institutional level.

  2. Article2026Open Access
    Interoperability between local and global databases in scientometrics: lattes, CAPES, and OpenAlex(opens in a new tab)

    Mazoni, Alysson; Borges, Luís; Macedo, Estevão Fernandes; Tuesta, Esteban Fernández; Mena‐Chalco, Jesús Pascual

    Funded by CAPES, FAPESP, UNICAMP

    Disambiguating research entities remains a long-standing methodological problem in scientometric analyses, as inconsistencies and ambiguous metadata limit the interoperability of major bibliographic databases. While global systems such as OpenAlex provide extensive coverage, they often lack the granularity and accuracy provided by national-level research databases. This study proposes a large-scale methodology to enhance author and institutional disambiguation by integrating local (Lattes and CAPES) and global (OpenAlex) databases. The method combines shared Digital Object Identifiers with an adapted Levenshtein distance algorithm to handle variations in author and institutional names across multilingual research databases, achieving over 97% accuracy for authors and 64% for institutions. The proposed framework provides a scalable and replicable approach for entity disambiguation in tabular research databases. Beyond the Brazilian context, this integration strategy offers a globally applicable approach for harmonizing national research information systems with open scientometric infrastructures.

  3. Article2026Open Access
    Studying the scientific diaspora: going beyond bibliometric methods(opens in a new tab)

    Carneiro, Ana Maria; Pereira, Cesar A. Guimarães; Meireles, Flavia; Romolo, Renata

    Funded by FAPESP, UNICAMP

    The international mobility of highly qualified scientists has drawn increasing attention from researchers and policymakers, especially regarding scientific diaspora networks. These networks enable exchange of knowledge and technology and academic collaboration, benefiting sending and receiving countries. Bibliometric methods have been widely used to track academic mobility flows, analyzing institutional affiliations and collaboration patterns. However, such methods have limitations for investigating the scientific diaspora, as they do not allow the identification of researchers’ nationality or birthplace. The aim of this article is to propose a multi-method approach to overcome these limitations, combining bibliometric techniques with supplemental sources, such as academic CV, institutional databases, and qualitative information. We applied this methodology to study scientific collaborations on COVID-19 involving the Brazilian scientific diaspora from 2020 to 2022, a period characterized by intense international cooperation. This analysis included variables such as gender, academic background, professional activity, and co-authorship patterns. Results show that the proposed approach enables more robust identification of diaspora researchers and their interactions with Brazil, which can provide relevant insights for science policies and engagement strategies of the diaspora. We conclude that the combination of bibliometric and qualitative data is essential for a better understanding of academic mobility and scientific diaspora dynamics, thereby contributing to the development of more effective policies for managing highly qualified human capital.