Tristan Thrush
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Signal Processing
- Aerospace Engineering
- Co-authors
- Douwe KielaMax BartoloAdina WilliamsAmanpreet SinghCandace RossRobin JiaSebastian RiedelPontus Stenetorp
- Topics
- Multimodal Machine Learning Applications (3 papers)Natural Language Processing Techniques (3 papers)Topic Modeling (3 papers)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)arXiv (Cornell University)Lirias (KU Leuven)
- Partner nations
- IsraelUnited KingdomCanada
In The Last Decade
Tristan Thrush
7 papers receiving 177 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 151
- Computer Vision and Pattern Recognition 98
- Information Systems 11
- Signal Processing 9
- Aerospace Engineering 7
Countries citing papers authored by Tristan Thrush
This map shows the geographic impact of Tristan Thrush'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 Tristan Thrush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tristan Thrush more than expected).
Fields of papers citing papers by Tristan Thrush
This network shows the impact of papers produced by Tristan Thrush. 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 Tristan Thrush. The network helps show where Tristan Thrush may publish in the future.
Co-authorship network of co-authors of Tristan Thrush
This figure shows the co-authorship network connecting the top 25 collaborators of Tristan Thrush. A scholar is included among the top collaborators of Tristan Thrush 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 Tristan Thrush. Tristan Thrush is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 98 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 43 |
About Tristan Thrush
Tristan Thrush is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 8 papers that have together received 187 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Natural Language Processing Techniques (3 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (98 citations), Artificial Intelligence (151 citations) and Health Informatics (2 citations). Tristan Thrush has collaborated with scholars based in Israel, United Kingdom and Canada. Frequent co-authors include Douwe Kiela, Max Bartolo, Adina Williams, Amanpreet Singh, Candace Ross, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Paul Röttger and Hannah Rose Kirk. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), arXiv (Cornell University) and Lirias (KU Leuven).
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.