Tom Fawcett

25 papers and 15.4k indexed citations i.

About

Tom Fawcett is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tom Fawcett has authored 25 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tom Fawcett’s work include Imbalanced Data Classification Techniques (12 papers), Data Mining Algorithms and Applications (8 papers) and Anomaly Detection Techniques and Applications (5 papers). Tom Fawcett is often cited by papers focused on Imbalanced Data Classification Techniques (12 papers), Data Mining Algorithms and Applications (8 papers) and Anomaly Detection Techniques and Applications (5 papers). Tom Fawcett collaborates with scholars based in United States, United Kingdom and Japan. Tom Fawcett's co-authors include Foster Provost, Ron Kohavi, Peter Flach, Alexandru Niculescu-Mizil, Paul Comfort, Nada Lavrač, Ira J. Haimowitz, Salvatore J. Stolfo, Robert C. Holte and Pieter Adriaans and has published in prestigious journals such as Machine Learning, The Journal of Strength and Conditioning Research and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Tom Fawcett i

Fields of papers citing papers by Tom Fawcett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tom Fawcett

Since Specialization
Citations

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