Ilya Levner

662 citations
23 papers · 454 · h-index 10

Impact in

Papers in

Ilya Levner

21 papers receiving 400 citations

Peers

Ilya Levner
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 155
  • Neurology 63
  • Artificial Intelligence 125
  • Genetics 38
  • Management Information Systems 29
Replace Dong-Hui Xu with:
Dong-Hui Xu China
Syed Jamal Safdar Gardezi Malaysia
Erdal Taşçı Türkiye
Adnan Idris Pakistan
Xiaowei Chen China
Changhee Han South Korea
Manas Ranjan Senapati India
Ioannis Kapouleas United States
Faheem Akhtar Pakistan
Shanxiong Chen China
Ilya Levner relative to Dong-Hui Xu China Dong-Hui Xu's profile →
Citations per field
00.5×6.3×
Dong-Hui Xu · 1×
Citations per year

Countries citing papers authored by Ilya Levner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 22 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.

Border = papers with Ilya Levner Line = papers co-authored together Ilya Levner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005121
2 200784
3 200660
4 200944
5 200934
6 201418
7 201118
8
Lookahead pathologies for single agent search
200315
9
Machine learning for adaptive image interpretation
200412
10 201010
11
Improving an Adaptive Image Interpretation System by Leveraging
20088
12
Automated Feature Extraction for Object Recognition
20037
13
Adaptive Image Interpretation : A Spectrum Of Machine Learning Problems
20036
14
HSMM: Heuristic Search with Meta-Models for Image Interpretation.
20083
15 20023
16 20043
17
Recreational vs. Educational Computer Experience: Predicting Explicit and Implicit Learning Outcomes During a Website Search
20082
18 20052
19 20042
20 20081

About Ilya Levner

Ilya Levner is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management Information Systems, Ocean Engineering and Molecular Biology, having authored 23 papers that have together received 454 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), Neural Networks and Applications (3 papers), Supply Chain and Inventory Management (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Reservoir Engineering and Simulation Methods (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Neurology (63 citations), Artificial Intelligence (125 citations), Genetics (38 citations) and Management Information Systems (29 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, Mark Schmidt, Albert Murtha, Dipti Prasad Mukherjee, Hong Zhang, Glòria Roldán and J. Gregory Cairncross. Their work appears in journals such as International Journal of Production Economics, Pattern Recognition Letters, BMC Bioinformatics, IEEE Transactions on Image Processing and EURASIP Journal on Advances in 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.

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