Ricardo Caferra

11 papers and 78 indexed citations i.

About

Ricardo Caferra is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ricardo Caferra has authored 11 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ricardo Caferra’s work include Logic, Reasoning, and Knowledge (8 papers), Logic, programming, and type systems (8 papers) and Advanced Algebra and Logic (2 papers). Ricardo Caferra is often cited by papers focused on Logic, Reasoning, and Knowledge (8 papers), Logic, programming, and type systems (8 papers) and Advanced Algebra and Logic (2 papers). Ricardo Caferra collaborates with scholars based in France and Austria. Ricardo Caferra's co-authors include Gernot Salzer, Nicolas Peltier, Vincent Aravantinos and Stéphane Demri and has published in prestigious journals such as Journal of Artificial Intelligence Research, Lecture notes in computer science and International Journal of Intelligent Systems.

In The Last Decade

Co-authorship network of co-authors of Ricardo Caferra i

Fields of papers citing papers by Ricardo Caferra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ricardo Caferra

Since Specialization
Citations

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