Gennady Erlikhman
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms 19
- Neural dynamics and brain function 6
- Face Recognition and Perception 3
- Neural and Behavioral Psychology Studies 3
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- Visual Attention and Saliency Detection 5
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- Color perception and design 3
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- Neurobiology and Insect Physiology Research 3
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- Color Science and Applications 3
- Co-authors
- Philip J. KellmanHongjing LuNicholas BakerGideon P. CaplovitzBrian P. KeaneMichael J. KahanaSean M. PolynTodd S. Horowitz
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Gennady Erlikhman
30 papers receiving 482 citations
Peers
Comparison fields: 5 of 108
- Cognitive Neuroscience 293
- Computer Vision and Pattern Recognition 147
- Biophysics 23
- Health Informatics 4
- Social Psychology 52
Countries citing papers authored by Gennady Erlikhman
This map shows the geographic impact of Gennady Erlikhman'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 Gennady Erlikhman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gennady Erlikhman more than expected).
Fields of papers citing papers by Gennady Erlikhman
This network shows the impact of papers produced by Gennady Erlikhman. 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 Gennady Erlikhman. The network helps show where Gennady Erlikhman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gennady Erlikhman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 48 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 5 | |
| 6 | 2019 | 3 | |
| 7 | Deep Convolutional Networks do not Perceive Illusory Contours. | 2018 | 11 |
| 8 | 2018 | 25 | |
| 9 | 2018 | 196 | |
| 10 | 2017 | 4 | |
| 11 | 2016 | 14 | |
| 12 | 2016 | 0 | |
| 13 | 2016 | 25 | |
| 14 | 2016 | 4 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 28 | |
| 18 | 2014 | 4 | |
| 19 | 2014 | 22 | |
| 20 | 2011 | 30 |
About Gennady Erlikhman
Gennady Erlikhman is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 32 papers that have together received 494 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (19 papers), Neural dynamics and brain function (6 papers), Visual Attention and Saliency Detection (5 papers), Face Recognition and Perception (3 papers), Neurobiology and Insect Physiology Research (3 papers), Color Science and Applications (3 papers), Color perception and design (3 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (293 citations), Computer Vision and Pattern Recognition (147 citations) and Biophysics (23 citations). Gennady Erlikhman has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Philip J. Kellman, Hongjing Lu, Nicholas Baker, Gideon P. Caplovitz, Brian P. Keane, Michael J. Kahana, Sean M. Polyn, Todd S. Horowitz, Tandra Ghose and Jacqueline C. Snow. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.
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.