Evelyne Viegas

About

Evelyne Viegas is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Evelyne Viegas has authored 17 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Sociology and Political Science. Recurrent topics in Evelyne Viegas’s work include Natural Language Processing Techniques (6 papers), Machine Learning and Data Classification (3 papers) and Semantic Web and Ontologies (3 papers). Evelyne Viegas is often cited by papers focused on Natural Language Processing Techniques (6 papers), Machine Learning and Data Classification (3 papers) and Semantic Web and Ontologies (3 papers). Evelyne Viegas collaborates with scholars based in United States, Mexico and France. Evelyne Viegas's co-authors include Sérgio Escalera, Hugo Jair Escalante, Kuansan Wang, Xiaolong Li, Bo-June Hsu, Isabelle Guyon, Bisakha Ray, Alexander Statnikov, Núria Macià and Kristin P. Bennett and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Affective Computing and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Evelyne Viegas i

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Fields of papers citing papers by Evelyne Viegas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evelyne Viegas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Evelyne Viegas. The network helps show where Evelyne Viegas may publish in the future.

Countries citing papers authored by Evelyne Viegas

Since Specialization

Citations

This map shows the geographic impact of Evelyne Viegas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Evelyne Viegas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evelyne Viegas more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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