Bruno Korbar
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Oncology
- Signal Processing top 10%
- Co-authors
- Lorenzo TorresaniDu TranSaeed HassanpourMatthew A. SuriawinataAndrea M. OlofsonArief A. SuriawinataAllen P. MiraflorYongqin Xian
- Topics
- Human Pose and Action Recognition (4 papers)Music and Audio Processing (3 papers)AI in cancer detection (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Pathology InformaticsKing Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Bruno Korbar
7 papers receiving 376 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 243
- Radiology, Nuclear Medicine and Imaging 182
- Computer Vision and Pattern Recognition 142
- Oncology 106
- Signal Processing 56
Countries citing papers authored by Bruno Korbar
This map shows the geographic impact of Bruno Korbar'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 Bruno Korbar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Korbar more than expected).
Fields of papers citing papers by Bruno Korbar
This network shows the impact of papers produced by Bruno Korbar. 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 Bruno Korbar. The network helps show where Bruno Korbar may publish in the future.
Co-authorship network of co-authors of Bruno Korbar
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Korbar. A scholar is included among the top collaborators of Bruno Korbar 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 Bruno Korbar. Bruno Korbar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | Self-Supervised Learning by Cross-Modal Audio-Video Clustering | 16 |
| 3 | Cooperative Learning of Audio and Video Models from Self-Supervised Synchronization | 71 |
| 4 | Co-Training of Audio and Video Representations from Self-Supervised Temporal Synchronization | 27 |
| 5 | 231 | |
| 6 | 24 | |
| 7 | Validating an Agent-Based Model of Human Password Behavior | 4 |
About Bruno Korbar
Bruno Korbar is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 7 papers that have together received 388 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Music and Audio Processing (3 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health Informatics (25 citations), Radiology, Nuclear Medicine and Imaging (182 citations) and Artificial Intelligence (243 citations). Bruno Korbar has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Lorenzo Torresani, Du Tran, Saeed Hassanpour, Matthew A. Suriawinata, Andrea M. Olofson, Arief A. Suriawinata, Allen P. Miraflor, Yongqin Xian, Bernard Ghanem and Matthijs Douze. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Pathology Informatics and King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology).
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.