Thomas Wolf
Impact in
-
- Hand Gesture Recognition Systems
- Persona Design and Applications
-
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- AI in Service Interactions
Papers in ⓘ
-
- Topic Modeling 4
- Natural Language Processing Techniques 3
-
- Multimodal Machine Learning Applications 1
- Human Pose and Action Recognition 1
- Co-authors
- Sergey Nikolenko (1 shared paper)Antoine Bosselut (1 shared paper)Aslı Çelikyılmaz (1 shared paper)Markus Groß (1 shared paper)Cengiz Öztireli (1 shared paper)Yangfeng Ji (1 shared paper)Victor Sanh (1 shared paper)Elisabeth Georgii (1 shared paper)
- Journals
- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)Repository for Publications and Research Data (ETH Zurich) (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Thomas Wolf
7 papers receiving 72 citations
Peers
Comparison fields: 5 of 23
- Human-Computer Interaction 20
- Artificial Intelligence 54
- Computer Vision and Pattern Recognition 26
- Health Informatics 1
- General Social Sciences 2
Countries citing papers authored by Thomas Wolf
This map shows the geographic impact of Thomas Wolf'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 Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Wolf more than expected).
Fields of papers citing papers by Thomas Wolf
This network shows the impact of papers produced by Thomas Wolf. 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 Wolf. The network helps show where Thomas Wolf may publish in the future.
Co-authors
The 16 scholars most cited alongside Thomas Wolf, 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 | 2019 | 48 | |
| 2 | 2018 | 13 | |
| 3 | 2020 | 6 | |
| 4 | Learning from others' mistakes: Avoiding dataset biases without modeling them | 2021 | 5 |
| 5 | 2006 | 2 | |
| 6 | 1996 | 1 | |
| 7 | 2020 | 1 | |
| 8 | 2024 | 0 |
About Thomas Wolf
Thomas Wolf is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Control and Systems Engineering and Information Systems, having authored 8 papers that have together received 76 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Hand Gesture Recognition Systems (1 paper), Image Processing Techniques and Applications (1 paper), Multimodal Machine Learning Applications (1 paper), Industrial Vision Systems and Defect Detection (1 paper), Robot Manipulation and Learning (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Human-Computer Interaction (20 citations), Artificial Intelligence (54 citations), Computer Vision and Pattern Recognition (26 citations), Health Informatics (1 citation) and General Social Sciences (2 citations). Thomas Wolf has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Sergey Nikolenko, Antoine Bosselut, Aslı Çelikyılmaz, Markus Groß, Cengiz Öztireli, Yangfeng Ji, Victor Sanh, Elisabeth Georgii, Alexander M. Rush and Alex Wang. Their work appears in journals such as Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Repository for Publications and Research Data (ETH Zurich).
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.