Leonardo F. R. Ribeiro

15 papers and 349 indexed citations i.

About

Leonardo F. R. Ribeiro is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leonardo F. R. Ribeiro has authored 15 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 1 paper in Sociology and Political Science and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Leonardo F. R. Ribeiro’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Advanced Graph Neural Networks (4 papers). Leonardo F. R. Ribeiro is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Advanced Graph Neural Networks (4 papers). Leonardo F. R. Ribeiro collaborates with scholars based in Germany, China and United States. Leonardo F. R. Ribeiro's co-authors include Iryna Gurevych, Tobias Falke, Ido Dagan, Prasetya Ajie Utama, Hinrich Schütze, Martin Schmitt, Yue Zhang, Claire Gardent, Olga Majewska and Anne Lauscher and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Frontiers in Robotics and AI and Electronic Notes in Theoretical Computer Science.

In The Last Decade

Co-authorship network of co-authors of Leonardo F. R. Ribeiro i

Fields of papers citing papers by Leonardo F. R. Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo F. R. Ribeiro. 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 Leonardo F. R. Ribeiro. The network helps show where Leonardo F. R. Ribeiro may publish in the future.

Countries citing papers authored by Leonardo F. R. Ribeiro

Since Specialization
Citations

This map shows the geographic impact of Leonardo F. R. Ribeiro'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 Leonardo F. R. Ribeiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo F. R. Ribeiro 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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