Thibault Formal
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Algorithms and Data Compression
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
Papers in
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- Topic Modeling 6
- Domain Adaptation and Few-Shot Learning 4
- Natural Language Processing Techniques 4
- Text and Document Classification Technologies 2
- Speech and dialogue systems 1
- Advanced Graph Neural Networks 1
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- Multimodal Machine Learning Applications 2
- Advanced Image and Video Retrieval Techniques 1
- Co-authors
- Stéphane Clinchant (9 shared papers)Benjamin Piwowarski (4 shared papers)Carlos Lassance (5 shared papers)Hervé Déjean (4 shared papers)Vassilina Nikoulina (2 shared papers)Guglielmo Faggioli (1 shared paper)Nicola Ferro (1 shared paper)Stefano Marchesin (1 shared paper)
- Journals
- ACM Transactions on Information Systems (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (2 papers)Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (1 paper)
In The Last Decade
Thibault Formal
9 papers receiving 201 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 172
- Computer Vision and Pattern Recognition 82
- Information Systems 59
- Signal Processing 12
- Management Science and Operations Research 10
Countries citing papers authored by Thibault Formal
This map shows the geographic impact of Thibault Formal'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 Thibault Formal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thibault Formal more than expected).
Fields of papers citing papers by Thibault Formal
This network shows the impact of papers produced by Thibault Formal. 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 Thibault Formal. The network helps show where Thibault Formal may publish in the future.
Co-authors
The 9 scholars most cited alongside Thibault Formal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 138 | |
| 2 | 2022 | 52 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 1 |
About Thibault Formal
Thibault Formal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 214 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), Natural Language Processing Techniques (4 papers), Text and Document Classification Technologies (2 papers), Multimodal Machine Learning Applications (2 papers), Speech and dialogue systems (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Advanced Graph Neural Networks (1 paper). The work is most often cited by research in Artificial Intelligence (172 citations), Computer Vision and Pattern Recognition (82 citations), Information Systems (59 citations), Signal Processing (12 citations) and Management Science and Operations Research (10 citations). Thibault Formal has collaborated with scholars based in France and Italy. Frequent co-authors include Stéphane Clinchant, Benjamin Piwowarski, Carlos Lassance, Hervé Déjean, Vassilina Nikoulina, Guglielmo Faggioli, Nicola Ferro, Stefano Marchesin and Shuai Wang. Their work appears in journals such as ACM Transactions on Information Systems, HAL (Le Centre pour la Communication Scientifique Directe) and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
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.