Paul Ruvolo

25 papers and 985 indexed citations i.

About

Paul Ruvolo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Paul Ruvolo has authored 25 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Paul Ruvolo’s work include Domain Adaptation and Few-Shot Learning (5 papers), Reinforcement Learning in Robotics (5 papers) and Speech and Audio Processing (3 papers). Paul Ruvolo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Reinforcement Learning in Robotics (5 papers) and Speech and Audio Processing (3 papers). Paul Ruvolo collaborates with scholars based in United States, Poland and Switzerland. Paul Ruvolo's co-authors include Javier R. Movellan, Eric Eaton, Jacob Whitehill, Tingfan Wu, Haitham Bou Ammar, Matthew E. Taylor, Marian Stewart Bartlett, Daniel S. Messinger, Naomi V. Ekas and Alan Fogel and has published in prestigious journals such as PLoS ONE, Neural Networks and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Co-authorship network of co-authors of Paul Ruvolo i

Fields of papers citing papers by Paul Ruvolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paul Ruvolo

Since Specialization
Citations

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