Ilya Levner
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Medical Image Segmentation Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 8
- Medical Image Segmentation Techniques 5
- Image Retrieval and Classification Techniques 4
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- Domain Adaptation and Few-Shot Learning 3
- Neural Networks and Applications 3
- Co-authors
- Hong Zhang (1 shared paper)Russell Greiner (8 shared papers)Yael Perlman (3 shared papers)Vadim Bulitko (9 shared papers)Albert Murtha (1 shared paper)Mark Schmidt (1 shared paper)Dipti Prasad Mukherjee (1 shared paper)Hong Zhang (2 shared papers)
In The Last Decade
Ilya Levner
22 papers receiving 410 citations
Peers
Comparison fields: 5 of 101
- Neurology 58
- Computer Vision and Pattern Recognition 149
- Management Information Systems 34
- Artificial Intelligence 120
- Genetics 36
Countries citing papers authored by Ilya Levner
This map shows the geographic impact of Ilya Levner'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 Levner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilya Levner more than expected).
Fields of papers citing papers by Ilya Levner
This network shows the impact of papers produced by Ilya Levner. 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 Levner. The network helps show where Ilya Levner may publish in the future.
Co-authors
The 23 scholars most cited alongside Ilya Levner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 122 | |
| 2 | 2007 | 84 | |
| 3 | 2006 | 60 | |
| 4 | 2009 | 44 | |
| 5 | 2009 | 34 | |
| 6 | 2011 | 19 | |
| 7 | 2014 | 18 | |
| 8 | Lookahead pathologies for single agent search | 2003 | 15 |
| 9 | Machine learning for adaptive image interpretation | 2004 | 12 |
| 10 | 2010 | 10 | |
| 11 | 2023 | 8 | |
| 12 | Improving an Adaptive Image Interpretation System by Leveraging | 2008 | 8 |
| 13 | Automated Feature Extraction for Object Recognition | 2003 | 7 |
| 14 | Adaptive Image Interpretation : A Spectrum Of Machine Learning Problems | 2003 | 6 |
| 15 | HSMM: Heuristic Search with Meta-Models for Image Interpretation. | 2008 | 3 |
| 16 | 2002 | 3 | |
| 17 | 2004 | 3 | |
| 18 | 2005 | 2 | |
| 19 | 2004 | 2 | |
| 20 | Recreational vs. Educational Computer Experience: Predicting Explicit and Implicit Learning Outcomes During a Website Search | 2008 | 2 |
About Ilya Levner
Ilya Levner is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Strategy and Management, Management Information Systems and Ocean Engineering, having authored 24 papers that have together received 464 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Medical Image Segmentation Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Sustainable Supply Chain Management (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Supply Chain and Inventory Management (3 papers), Neural Networks and Applications (3 papers) and Reservoir Engineering and Simulation Methods (3 papers). The work is most often cited by research in Neurology (58 citations), Computer Vision and Pattern Recognition (149 citations), Management Information Systems (34 citations), Artificial Intelligence (120 citations) and Genetics (36 citations). Ilya Levner has collaborated with scholars based in Canada, Israel and Hong Kong. Frequent co-authors include Hong Zhang, Russell Greiner, Yael Perlman, Vadim Bulitko, Albert Murtha, Mark Schmidt, Dipti Prasad Mukherjee, Hong Zhang, Glòria Roldán and J. Gregory Cairncross. Their work appears in journals such as BMC Bioinformatics, International Journal of Production Economics, Operations Research for Health Care, Pattern Recognition Letters and IEEE Transactions on Image 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.