Tony Jebara
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Information Systems top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Sociology and Political Science top 2%
- Co-authors
- Alex PentlandDawen LiangRahul G. KrishnanMatthew D. HoffmanRisi KondorBaback MoghaddamShih‐Fu ChangSinan Aral
- Topics
- Face and Expression Recognition (22 papers)Machine Learning and Algorithms (18 papers)Neural Networks and Applications (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsArtificial Intelligence
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Tony Jebara
103 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Artificial Intelligence 2.3k
- Computer Vision and Pattern Recognition 2.1k
- Information Systems 1.0k
- Statistical and Nonlinear Physics 932
- Sociology and Political Science 812
Countries citing papers authored by Tony Jebara
This map shows the geographic impact of Tony Jebara'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 Tony Jebara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Jebara more than expected).
Fields of papers citing papers by Tony Jebara
This network shows the impact of papers produced by Tony Jebara. 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 Tony Jebara. The network helps show where Tony Jebara may publish in the future.
Co-authorship network of co-authors of Tony Jebara
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Jebara. A scholar is included among the top collaborators of Tony Jebara 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 Tony Jebara. Tony Jebara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | A Privacy Analysis of Cross-device Tracking | 27 |
| 4 | Collaborative place models | 4 |
| 5 | On Learning with Label Proportions. | 4 |
| 6 | Understanding the Bethe approximation: when and how can it go wrong? | 10 |
| 7 | Clamping Variables and Approximate Inference | 8 |
| 8 | Collaborative Ranking for Local Preferences | 1 |
| 9 | Majorization for CRFs and Latent Likelihoods | 7 |
| 10 | Multitask Sparsity via Maximum Entropy Discrimination | 47 |
| 11 | Fast b-matching via Sufficient Selection Belief Propagation | 25 |
| 12 | Maximum Relative Margin and Data-Dependent Regularization | 41 |
| 13 | Relative Margin Machines | 15 |
| 14 | B-Matching for Spectral Clustering | 4 |
| 15 | Minimum Volume Embedding | 35 |
| 16 | Multi-object tracking with representations of the symmetric group. | 37 |
| 17 | Modularity and Specialized Learning: Reexamining Behavior-Based Artificial Intelligence | 1 |
| 18 | 14 | |
| 19 | Probability Product Kernels | 282 |
| 20 | On Reversing Jensen's Inequality | 24 |
About Tony Jebara
Tony Jebara is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 103 papers that have together received 6.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (22 papers), Machine Learning and Algorithms (18 papers) and Neural Networks and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Statistical and Nonlinear Physics (932 citations) and Artificial Intelligence (2.3k citations). Tony Jebara has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Alex Pentland, Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Risi Kondor, Baback Moghaddam, Shih‐Fu Chang, Sinan Aral, Myron P. Gutmann and Albert-Ĺaszló Barabási. Their work appears in journals such as Science, Journal of Neuroscience and Bioinformatics.
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.