Andy Barto

3 papers and 27.7k indexed citations i.

About

Andy Barto is a scholar working on Artificial Intelligence, Industrial relations and Aerospace Engineering. According to data from OpenAlex, Andy Barto has authored 3 papers receiving a total of 27.7k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 0 papers in Industrial relations and 0 papers in Aerospace Engineering. Recurrent topics in Andy Barto’s work include Reinforcement Learning in Robotics (1 paper), Neural Networks and Applications (1 paper) and Adaptation to Concept Drift in Data Streams (1 paper). Andy Barto is often cited by papers focused on Reinforcement Learning in Robotics (1 paper), Neural Networks and Applications (1 paper) and Adaptation to Concept Drift in Data Streams (1 paper). Andy Barto collaborates with scholars based in and . Andy Barto's co-authors include Richard S. Sutton and has published in prestigious journals such as IEEE Transactions on Neural Networks and PubMed.

In The Last Decade

Co-authorship network of co-authors of Andy Barto i

Fields of papers citing papers by Andy Barto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andy Barto

Since Specialization
Citations

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