Thomas Fevens

47 papers and 639 indexed citations i.

About

Thomas Fevens is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Thomas Fevens has authored 47 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Thomas Fevens’s work include AI in cancer detection (10 papers), Mobile Ad Hoc Networks (9 papers) and Medical Image Segmentation Techniques (8 papers). Thomas Fevens is often cited by papers focused on AI in cancer detection (10 papers), Mobile Ad Hoc Networks (9 papers) and Medical Image Segmentation Techniques (8 papers). Thomas Fevens collaborates with scholars based in Canada, China and Poland. Thomas Fevens's co-authors include Adam Krzyżak, Hong Jiang, Paweł Filipczuk, Roman Monczak, Shuo Li, Alaa E. Abdallah, Łukasz Jeleń, Josef Opatrný, Li Song and Chao Jin and has published in prestigious journals such as The American Journal of Sports Medicine, IEEE Transactions on Medical Imaging and Sensors.

In The Last Decade

Co-authorship network of co-authors of Thomas Fevens i

Fields of papers citing papers by Thomas Fevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Fevens

Since Specialization
Citations

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