Nolan Bard

15 papers and 557 indexed citations i.

About

Nolan Bard is a scholar working on Artificial Intelligence, Economics and Econometrics and Clinical Psychology. According to data from OpenAlex, Nolan Bard has authored 15 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Economics and Econometrics and 6 papers in Clinical Psychology. Recurrent topics in Nolan Bard’s work include Artificial Intelligence in Games (14 papers), Sports Analytics and Performance (7 papers) and Gambling Behavior and Treatments (6 papers). Nolan Bard is often cited by papers focused on Artificial Intelligence in Games (14 papers), Sports Analytics and Performance (7 papers) and Gambling Behavior and Treatments (6 papers). Nolan Bard collaborates with scholars based in Canada, United States and United Kingdom. Nolan Bard's co-authors include Michael Bowling, Neil Burch, Michael Johanson, Kevin Waugh, Trevor Davis, Dustin Morrill, Matej Moravčík, Martin Schmid, Viliam Lisý and Marc Lanctot and has published in prestigious journals such as Science, Science Advances and Computers in Human Behavior.

In The Last Decade

Co-authorship network of co-authors of Nolan Bard i

Fields of papers citing papers by Nolan Bard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nolan Bard

Since Specialization
Citations

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