Evgeniy Bart

942 total citations
27 papers, 572 citations indexed

About

Evgeniy Bart is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Evgeniy Bart has authored 27 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Cognitive Neuroscience. Recurrent topics in Evgeniy Bart's work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (9 papers) and Neural dynamics and brain function (3 papers). Evgeniy Bart is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (9 papers) and Neural dynamics and brain function (3 papers). Evgeniy Bart collaborates with scholars based in United States, Israel and Netherlands. Evgeniy Bart's co-authors include Shimon Ullman, Max Welling, Ian R. Porteous, Pietro Perona, Jay Hegdé, Vincent Chi‐Chung Cheng, John Hanley, Hoda Eldardiry, Oliver Brdiczka and Bob Price and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Current Biology.

In The Last Decade

Evgeniy Bart

26 papers receiving 526 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Evgeniy Bart United States 11 296 288 86 83 67 27 572
Akisato Kimura Japan 14 183 0.6× 380 1.3× 43 0.5× 51 0.6× 43 0.6× 67 602
Bokai Cao United States 15 447 1.5× 177 0.6× 118 1.4× 78 0.9× 93 1.4× 32 700
Zhenpeng Li China 9 227 0.8× 220 0.8× 68 0.8× 20 0.2× 87 1.3× 38 549
Xiaofan Lin United States 13 334 1.1× 533 1.9× 73 0.8× 15 0.2× 33 0.5× 42 823
Takeshi Koshiba Japan 16 384 1.3× 213 0.7× 110 1.3× 79 1.0× 101 1.5× 63 762
Adolfo Guzmán Arenas Mexico 10 207 0.7× 258 0.9× 60 0.7× 85 1.0× 49 0.7× 51 616
Youngsok Kim South Korea 14 208 0.7× 188 0.7× 94 1.1× 29 0.3× 284 4.2× 41 695
Vidit Jain United States 9 199 0.7× 934 3.2× 55 0.6× 33 0.4× 17 0.3× 13 1.1k
Alexander G. Ororbia United States 12 314 1.1× 158 0.5× 94 1.1× 31 0.4× 73 1.1× 43 569

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-authorship network of co-authors of Evgeniy Bart

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeniy Bart. A scholar is included among the top collaborators of Evgeniy Bart 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 Evgeniy Bart. Evgeniy Bart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hegdé, Jay & Evgeniy Bart. (2019). Do different radiologists perceive medical images the same way? Some insights from Representational Similarity Analysis. Electronic Imaging. 31(12). 225–1. 2 indexed citations
2.
Hegdé, Jay & Evgeniy Bart. (2018). Making Expert Decisions Easier to Fathom: On the Explainability of Visual Object Recognition Expertise. Frontiers in Neuroscience. 12. 670–670. 4 indexed citations
3.
Bart, Evgeniy & Jay Hegdé. (2018). Deep Synthesis of Realistic Medical Images: A Novel Tool in Clinical Research and Training. Frontiers in Neuroinformatics. 12. 82–82. 4 indexed citations
4.
Bart, Evgeniy, et al.. (2012). Learning Domain-Specific Feature Descriptors for Document Images. 415–418. 2 indexed citations
5.
Bart, Evgeniy & Jay Hegdé. (2012). Invariant object recognition based on extended fragments. Frontiers in Computational Neuroscience. 6. 56–56. 2 indexed citations
6.
Bart, Evgeniy & Jay Hegdé. (2012). Invariant Recognition of Visual Objects: Some Emerging Computational Principles. Frontiers in Computational Neuroscience. 6. 60–60. 6 indexed citations
7.
Bart, Evgeniy, Max Welling, & Pietro Perona. (2011). Unsupervised Organization of Image Collections: Taxonomies and Beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(11). 2302–2315. 10 indexed citations
8.
Bart, Evgeniy, et al.. (2011). What the ‘Moonwalk’ Illusion Reveals about the Perception of Relative Depth from Motion. PLoS ONE. 6(6). e20951–e20951. 5 indexed citations
9.
Bart, Evgeniy, et al.. (2010). Information extraction by finding repeated structure. 9 indexed citations
10.
Bart, Evgeniy, et al.. (2010). Fragment-Based Learning of Visual Object Categories in Non-Human Primates. PLoS ONE. 5(11). e15444–e15444. 11 indexed citations
11.
Porteous, Ian R., Evgeniy Bart, & Max Welling. (2008). Multi-HDP: a non parametric Bayesian model for tensor factorization. National Conference on Artificial Intelligence. 1487–1490. 56 indexed citations
12.
Welling, Max, Ian R. Porteous, & Evgeniy Bart. (2008). Infinite State Bayesian Networks. CaltechAUTHORS (California Institute of Technology). 2 indexed citations
13.
Bart, Evgeniy & Shimon Ullman. (2008). Class-Based Feature Matching Across Unrestricted Transformations. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(9). 1618–1631. 9 indexed citations
14.
Hegdé, Jay, Evgeniy Bart, & Daniel Kersten. (2008). Fragment-Based Learning of Visual Object Categories. Current Biology. 18(8). 597–601. 22 indexed citations
15.
Welling, Max, Ian R. Porteous, & Evgeniy Bart. (2007). Infinite State Bayes-Nets for Structured Domains. Neural Information Processing Systems. 20. 1601–1608. 3 indexed citations
16.
Bart, Evgeniy & Shimon Ullman. (2005). Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement. 1. 672–679. 116 indexed citations
17.
Bart, Evgeniy & Shimon Ullman. (2005). Single-example learning of novel classes using representation by similarity. 82.1–82.10. 28 indexed citations
18.
Bart, Evgeniy, et al.. (2005). Modeling the Spontaneous Activity of the Auditory Cortex. Journal of Computational Neuroscience. 19(3). 357–378. 22 indexed citations
19.
Bart, Evgeniy & Shimon Ullman. (2004). Image normalization by mutual information. 35.1–35.10. 6 indexed citations
20.
Ullman, Shimon & Evgeniy Bart. (2004). Recognition invariance obtained by extended and invariant features. Neural Networks. 17(5-6). 833–848. 39 indexed citations

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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