Fábio Kepler

9 papers and 130 indexed citations i.

About

Fábio Kepler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Fábio Kepler has authored 9 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Fábio Kepler’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (2 papers). Fábio Kepler is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Multimodal Machine Learning Applications (2 papers). Fábio Kepler collaborates with scholars based in Portugal, Brazil and United States. Fábio Kepler's co-authors include André F. T. Martins, Marcos Treviso, Ramón Fernández Astudillo, Chris Hokamp, Roman Grundkiewicz, Marcin Junczys-Dowmunt, M. Amin Farajian, Isabel Trancoso, Alberto Abad and Marcelo Finger and has published in prestigious journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Fábio Kepler i

Fields of papers citing papers by Fábio Kepler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio Kepler. 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 Fábio Kepler. The network helps show where Fábio Kepler may publish in the future.

Countries citing papers authored by Fábio Kepler

Since Specialization
Citations

This map shows the geographic impact of Fábio Kepler'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 Fábio Kepler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio Kepler 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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2025