Denis Tomè

About

Denis Tomè is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Denis Tomè has authored 6 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 2 papers in Control and Systems Engineering and 1 paper in Artificial Intelligence. Recurrent topics in Denis Tomè’s work include Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Vision and Imaging (3 papers). Denis Tomè is often cited by papers focused on Human Pose and Action Recognition (4 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Vision and Imaging (3 papers). Denis Tomè collaborates with scholars based in United Kingdom, United States and Israel. Denis Tomè's co-authors include Lourdes Agapito, Luca Baroffio, Luca Bondi, Stefano Tubaro, Marco Tagliasacchi, Federico Monti, Hernán Badino, Chris Russell, Gerard Pons‐Moll and Thiemo Alldieck and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Signal Processing Image Communication and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Denis Tomè i

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Fields of papers citing papers by Denis Tomè

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Denis Tomè

Since Specialization

Citations

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