Ronald Parr

About

Ronald Parr is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Ronald Parr has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 6 papers in Computational Theory and Mathematics. Recurrent topics in Ronald Parr’s work include Reinforcement Learning in Robotics (21 papers), Bayesian Modeling and Causal Inference (8 papers) and Machine Learning and Algorithms (8 papers). Ronald Parr is often cited by papers focused on Reinforcement Learning in Robotics (21 papers), Bayesian Modeling and Causal Inference (8 papers) and Machine Learning and Algorithms (8 papers). Ronald Parr collaborates with scholars based in United States and France. Ronald Parr's co-authors include Stuart Russell, Daphne Koller, Michail G. Lagoudakis, Vincent Conitzer, Uri Lerner, Dmytro Korzhyk, Carlos Guestrin, Urszula Chajewska, Gautam Biswas and Jason Pazis and has published in prestigious journals such as IEEE Transactions on Signal Processing, The International Journal of Robotics Research and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Ronald Parr

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald Parr. A scholar is included among the top collaborators of Ronald Parr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ronald Parr. Ronald Parr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Ronald Parr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ronald Parr

Since Specialization

Citations

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