Fabio Pardo

6 papers and 161 indexed citations i.

About

Fabio Pardo is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Fabio Pardo has authored 6 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 1 paper in Cognitive Neuroscience and 1 paper in Control and Systems Engineering. Recurrent topics in Fabio Pardo’s work include Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (2 papers) and Educational Games and Gamification (1 paper). Fabio Pardo is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (2 papers) and Educational Games and Gamification (1 paper). Fabio Pardo collaborates with scholars based in United Kingdom, United States and Italy. Fabio Pardo's co-authors include Petar Kormushev, Josh Merel, Nicolas Heess, Leonard Hasenclever and Raia Hadsell and has published in prestigious journals such as Neural Information Processing Systems, International Conference on Machine Learning and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Fabio Pardo i

Fields of papers citing papers by Fabio Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabio Pardo

Since Specialization
Citations

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