Ilya Pollak
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Computational Mechanics
- Media Technology top 10%
- Co-authors
- Charles A. BoumanAlan S. WillskyHamid KrimYan HuangMary P. HarperJeffrey Mark SiskindEric L. MillerN. Minh
- Topics
- Image and Signal Denoising Methods (13 papers)Advanced Data Compression Techniques (12 papers)Image Retrieval and Classification Techniques (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- United StatesTaiwanRussia
In The Last Decade
Ilya Pollak
56 papers receiving 352 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 221
- Artificial Intelligence 64
- Signal Processing 48
- Computational Mechanics 38
- Media Technology 34
Countries citing papers authored by Ilya Pollak
This map shows the geographic impact of Ilya Pollak'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 Ilya Pollak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Pollak more than expected).
Fields of papers citing papers by Ilya Pollak
This network shows the impact of papers produced by Ilya Pollak. 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 Ilya Pollak. The network helps show where Ilya Pollak may publish in the future.
Co-authorship network of co-authors of Ilya Pollak
This figure shows the co-authorship network connecting the top 25 collaborators of Ilya Pollak. A scholar is included among the top collaborators of Ilya Pollak 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 Ilya Pollak. Ilya Pollak 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 | 3 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | Computational Imaging VIII | 1 |
| 9 | 13 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | 27 | |
| 13 | 11 | |
| 14 | 18 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 0 | |
| 19 | 32 | |
| 20 | 72 |
About Ilya Pollak
Ilya Pollak is a scholar working on Finance, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 62 papers that have together received 378 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (13 papers), Advanced Data Compression Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Signal Processing (48 citations) and Acoustics and Ultrasonics (4 citations). Ilya Pollak has collaborated with scholars based in United States, Taiwan and Russia. Frequent co-authors include Charles A. Bouman, Alan S. Willsky, Hamid Krim, Yan Huang, Mary P. Harper, Jeffrey Mark Siskind, Eric L. Miller, N. Minh, Xiaogang Dong and Jun Zhang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.