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Eponyms are linguistic phenomena present in scientific language in various fields of science. Aiming to contribute to new themes and objects of study in the field of Information Science, this article addresses theoretical and methodological aspects of eponymy in science and the relationship between eponyms and the analysis of citations in scientific texts. The methodology of critical review of the Sociology of Science and Information Science literature was adopted, through the analysis of classics from the literature of these two areas and of other studies on eponymy through data collection in the Portal de Periódicos Capes. The results pointed out the origin, function and limitations of eponyms in scientific texts, the controversies about their use in medical-scientific communication, the female underrepresentation in eponyms of various sciences, the relationship between eponyms and citations, and the occurrence of obliteration. by incorporation into eponymic texts. It was concluded that the study of eponyms contributes to broadening the understanding of scientific recognition in science, but that its presence in scientific texts is challenging for bibliometric studies due to the occurrence of the phenomenon of obliteration by incorporation and the difficulties related to its identification and extraction in scientific databases. [ABSTRACT FROM AUTHOR]

The production of data sources has increased in recent years and making their treatment, retrieval and use operational becomes a challenge and a strategic differential for the nations that have this domain. Knowledge about Artificial Intelligence has been crucial for data processing and use, being considered decisive for economic and social development. This work aimed to survey research on Artificial Intelligence in Brazil. A comprehensive search expression was created, and related articles were obtained for the period 2011-2020 in the Web of Science database. Using bibliometric methods, the obtained records were analyzed using the software VantagePoint, VOSViewer, and Excel. An analysis was carried out regarding the participation of Brazilian research in relation to the world, the main Artificial Intelligence research institutions in the country, the main research topics, and the most active authors. Keyword cooccurrence networks, the collaboration between institutions and between authors were built. It was found that Brazil has a peripheral but increasing participation in relation to publications and that public institutions have a fundamental role in this production despite regional discrepancies, which could help in the development of public policies for technological inclusion. [ABSTRACT FROM AUTHOR]