Tom Le Paine

5 papers and 198 indexed citations i.

About

Tom Le Paine is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Tom Le Paine has authored 5 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Experimental and Cognitive Psychology and 1 paper in Artificial Intelligence. Recurrent topics in Tom Le Paine’s work include Emotion and Mood Recognition (2 papers), Advanced Neural Network Applications (1 paper) and Face recognition and analysis (1 paper). Tom Le Paine is often cited by papers focused on Emotion and Mood Recognition (2 papers), Advanced Neural Network Applications (1 paper) and Face recognition and analysis (1 paper). Tom Le Paine collaborates with scholars based in United States. Tom Le Paine's co-authors include Thomas S. Huang, Pooya Khorrami, Kevin Brady, Charlie K. Dagli, Wei Han, John Updike and Susan Sontag and has published in prestigious journals such as American Mathematical Monthly, The Hudson Review and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Tom Le Paine i

Fields of papers citing papers by Tom Le Paine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Le Paine. 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 Tom Le Paine. The network helps show where Tom Le Paine may publish in the future.

Countries citing papers authored by Tom Le Paine

Since Specialization
Citations

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