Richard Dazeley

56 papers and 992 indexed citations i.

About

Richard Dazeley is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Richard Dazeley has authored 56 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 11 papers in Control and Systems Engineering and 10 papers in Computational Theory and Mathematics. Recurrent topics in Richard Dazeley’s work include Reinforcement Learning in Robotics (19 papers), Evolutionary Algorithms and Applications (8 papers) and Authorship Attribution and Profiling (7 papers). Richard Dazeley is often cited by papers focused on Reinforcement Learning in Robotics (19 papers), Evolutionary Algorithms and Applications (8 papers) and Authorship Attribution and Profiling (7 papers). Richard Dazeley collaborates with scholars based in Australia, Brazil and Chile. Richard Dazeley's co-authors include Peter Vamplew, Diederik M. Roijers, Cameron Foale, Robert Layton, Paul Watters, Shimon Whiteson, Adam Berry, Francisco Cruz, Sunil Aryal and Saeid Nahavandi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Richard Dazeley i

Fields of papers citing papers by Richard Dazeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Richard Dazeley

Since Specialization
Citations

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