Théophile Gervet
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Science Applications top 10%
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Devendra Singh ChaplotJitendra MalikDhruv BatraSoumith ChintalaKenneth R. KoedingerTom M. MitchellJeff SchneiderJaewon Yang
- Topics
- Robotics and Sensor-Based Localization (3 papers)Advanced Graph Neural Networks (2 papers)Robotic Path Planning Algorithms (2 papers)
- Cited by
- Computer Science ApplicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- Science RoboticsKnowledge and Information SystemsZenodo (CERN European Organization for Nuclear Research)
- Partner nations
- United StatesSingapore
In The Last Decade
Théophile Gervet
7 papers receiving 136 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 87
- Computer Vision and Pattern Recognition 58
- Computer Science Applications 35
- Aerospace Engineering 24
- Control and Systems Engineering 22
Countries citing papers authored by Théophile Gervet
This map shows the geographic impact of Théophile Gervet'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 Théophile Gervet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Théophile Gervet more than expected).
Fields of papers citing papers by Théophile Gervet
This network shows the impact of papers produced by Théophile Gervet. 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 Théophile Gervet. The network helps show where Théophile Gervet may publish in the future.
Co-authorship network of co-authors of Théophile Gervet
This figure shows the co-authorship network connecting the top 25 collaborators of Théophile Gervet. A scholar is included among the top collaborators of Théophile Gervet 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 Théophile Gervet. Théophile Gervet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 62 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 23 | |
| 7 | 38 |
About Théophile Gervet
Théophile Gervet is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 7 papers that have together received 145 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Advanced Graph Neural Networks (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Computer Science Applications (35 citations), Computer Vision and Pattern Recognition (58 citations) and Artificial Intelligence (87 citations). Théophile Gervet has collaborated with scholars based in United States and Singapore. Frequent co-authors include Devendra Singh Chaplot, Jitendra Malik, Dhruv Batra, Soumith Chintala, Kenneth R. Koedinger, Tom M. Mitchell, Jeff Schneider, Jaewon Yang, Qi He and Baoxu Shi. Their work appears in journals such as Science Robotics, Knowledge and Information Systems and Zenodo (CERN European Organization for Nuclear Research).
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.