Thomas Veit

413 total citations
9 papers, 123 citations indexed

About

Thomas Veit is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Thomas Veit has authored 9 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 2 papers in Artificial Intelligence. Recurrent topics in Thomas Veit's work include Advanced Vision and Imaging (7 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Thomas Veit is often cited by papers focused on Advanced Vision and Imaging (7 papers), Video Surveillance and Tracking Methods (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Thomas Veit collaborates with scholars based in France. Thomas Veit's co-authors include Patrick Bouthémy, Frédéric Cao, Wojciech Pieczynski, Julie Delon and Didier Aubert and has published in prestigious journals such as International Journal of Computer Vision, Image Processing On Line and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.

In The Last Decade

Thomas Veit

9 papers receiving 110 citations

Peers

Thomas Veit
Comparison fields: 5 of 44
  • Computer Vision and Pattern Recognition 85
  • Artificial Intelligence 34
  • Signal Processing 18
  • Media Technology 18
  • Biomedical Engineering 10
Replace Thibault Napoléon with:
Thibault Napoléon France
Sara Mandelli Italy
Chuanxia Zheng Singapore
Jae-Ho Lee South Korea
Jean-Pierre Cocquerez France
Tianyu Ding United States
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Vighnesh Birodkar United States
Thibault Napoléon France View profile →
Citations per field, relative to Thomas Veit
Thomas Veit · 1×
Citations per year, relative to Thomas Veit
Thomas Veit · 1×

Countries citing papers authored by Thomas Veit

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Veit

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Veit. A scholar is included among the top collaborators of Thomas Veit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Veit. Thomas Veit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 28
2 1
3 3
4 33
5
An a contrario space-time grouping framework for the detection of coherent motions
1
6 6
7
An a contrario decision framework for motion detection
1
8 17
9 33

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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