Cameron Foale

21 papers and 300 indexed citations i.

About

Cameron Foale is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Cameron Foale has authored 21 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Cameron Foale’s work include Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (3 papers) and Topic Modeling (2 papers). Cameron Foale is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (3 papers) and Topic Modeling (2 papers). Cameron Foale collaborates with scholars based in Australia, United States and United Kingdom. Cameron Foale's co-authors include Peter Vamplew, Richard Dazeley, Francisco Cruz, Jane Mummery, Charlotte Young, Sunil Aryal, Sally Firmin, Ashot E. Sargsyan, Scott A. Dulchavsky and Shannon Melton and has published in prestigious journals such as Artificial Intelligence, Neurocomputing and Neural Computing and Applications.

In The Last Decade

Co-authorship network of co-authors of Cameron Foale i

Fields of papers citing papers by Cameron Foale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cameron Foale

Since Specialization
Citations

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