Evgeniy Bart

918 citations
28 papers · 683 · h-index 12

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 5
    • Image Retrieval and Classification Techniques 4
    • Handwritten Text Recognition Techniques 3
    • Face and Expression Recognition 3
    • Domain Adaptation and Few-Shot Learning 2
    • Advanced Clustering Algorithms Research 2

Evgeniy Bart

27 papers receiving 645 citations

Peers

Evgeniy Bart
Comparison fields: 5 of 51
  • Computational Mathematics 16
  • Computer Vision and Pattern Recognition 249
  • Artificial Intelligence 274
  • Cognitive Neuroscience 107
  • Information Systems 103
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Hua Yan China
Guixiang Ma United States
Kun Bai China
Maurizio Giordano Italy
Dušan Húsek Czechia
Wenyu Wang China
Changying Du China
Xiaoyan Zhou China
Will Y. Zou United States
Tongguang Ni China
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Citations per field
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Citations per year

Countries citing papers authored by Evgeniy Bart

Since Specialization
Citations

This map shows the geographic impact of Evgeniy Bart'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 Evgeniy Bart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evgeniy Bart more than expected).

Fields of papers citing papers by Evgeniy Bart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evgeniy Bart. 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 Evgeniy Bart. The network helps show where Evgeniy Bart may publish in the future.

Co-authors

The 14 scholars most cited alongside Evgeniy Bart, 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 Evgeniy Bart Line = papers co-authored together Evgeniy Bart links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005135
2 200883
3 201383
4
Multi-HDP: a non parametric Bayesian model for tensor factorization
200861
5 199453
6 200445
7 200440
8 200535
9 200529
10 200824
11 201114
12 201013
13 201012
14 200810
15 20046
16 20126
17 20115
18 20185
19
Infinite State Bayes-Nets for Structured Domains
20074
20 20124

About Evgeniy Bart

Evgeniy Bart is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Transportation and Computational Mathematics, having authored 28 papers that have together received 683 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Handwritten Text Recognition Techniques (3 papers), Face and Expression Recognition (3 papers), Face Recognition and Perception (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Clustering Algorithms Research (2 papers). The work is most often cited by research in Computational Mathematics (16 citations), Computer Vision and Pattern Recognition (249 citations), Artificial Intelligence (274 citations), Cognitive Neuroscience (107 citations) and Information Systems (103 citations). Evgeniy Bart has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Shimon Ullman, Max Welling, Pietro Perona, Jay Hegdé, Bob Price, Oliver Brdiczka, Hoda Eldardiry, Vincent Chi‐Chung Cheng, Evgeny Byvatov and David Holcman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, PLoS ONE, Neural Networks, Current Biology and Frontiers in Neuroinformatics.

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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