Inman Harvey

About

Inman Harvey is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Inman Harvey has authored 41 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Cognitive Neuroscience and 5 papers in Computational Theory and Mathematics. Recurrent topics in Inman Harvey’s work include Evolutionary Algorithms and Applications (11 papers), Reinforcement Learning in Robotics (9 papers) and Neural dynamics and brain function (7 papers). Inman Harvey is often cited by papers focused on Evolutionary Algorithms and Applications (11 papers), Reinforcement Learning in Robotics (9 papers) and Neural dynamics and brain function (7 papers). Inman Harvey collaborates with scholars based in United Kingdom, United States and Italy. Inman Harvey's co-authors include Phil Husbands, Dave Cliff, Ezequiel A. Di Paolo, Elio Tuci, Matt Quinn, Rachel Wood, A. Thompson, Gabriela Ochoa, Hilary Buxton and Patrícia A. Vargas and has published in prestigious journals such as Journal of Theoretical Biology, Neural Computation and Brain and Cognition.

In The Last Decade

Co-authorship network of co-authors of Inman Harvey i

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Fields of papers citing papers by Inman Harvey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inman Harvey

Since Specialization

Citations

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