Philip Hingston

47 papers and 2.4k indexed citations i.

About

Philip Hingston is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Signal Processing. According to data from OpenAlex, Philip Hingston has authored 47 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 7 papers in Signal Processing. Recurrent topics in Philip Hingston’s work include Artificial Intelligence in Games (13 papers), Evolutionary Algorithms and Applications (13 papers) and Reinforcement Learning in Robotics (8 papers). Philip Hingston is often cited by papers focused on Artificial Intelligence in Games (13 papers), Evolutionary Algorithms and Applications (13 papers) and Reinforcement Learning in Robotics (8 papers). Philip Hingston collaborates with scholars based in Australia, United Kingdom and Singapore. Philip Hingston's co-authors include Luigi Barone, Lyndon While, Simon Huband, Zubair Baig, Erwin Adi, Graham Kendall, Martin Mašek, Lucas Bradstreet, Jiawei Li and R.A. Bearman and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Applied Soft Computing and Minerals Engineering.

In The Last Decade

Co-authorship network of co-authors of Philip Hingston i

Fields of papers citing papers by Philip Hingston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philip Hingston

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025