Vladimir Cherkassky
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 43
- Machine Learning and Algorithms 11
- Machine Learning and Data Classification 7
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- Face and Expression Recognition 27
- Image and Signal Denoising Methods 7
- Signal Processing top 1%
- Blind Source Separation Techniques 12
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- Fault Detection and Control Systems 9
- Cognitive Neuroscience top 2%
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- Interconnection Networks and Systems 15
- Co-authors
- Filip MulierYunqian MaTao XiongXuhui ShaoStephen M. LaConteStephen C. StrotherJohn R. AndersonXiaoping Hu
- Journals
- PLoS ONE (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Vladimir Cherkassky
121 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 1.3k
- Signal Processing 587
- Control and Systems Engineering 871
- Cognitive Neuroscience 697
Countries citing papers authored by Vladimir Cherkassky
This map shows the geographic impact of Vladimir Cherkassky'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 Vladimir Cherkassky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Cherkassky more than expected).
Fields of papers citing papers by Vladimir Cherkassky
This network shows the impact of papers produced by Vladimir Cherkassky. 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 Vladimir Cherkassky. The network helps show where Vladimir Cherkassky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vladimir Cherkassky, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | Multiclass Learning from Contradictions | 2019 | 6 |
| 4 | 2014 | 10 | |
| 5 | Simple Method for Interpretation of High-Dimensional Nonlinear SVM Classification Models. | 2010 | 6 |
| 6 | 2006 | 56 | |
| 7 | Efficient Kernel Discriminant Analysis via QR Decomposition | 2004 | 40 |
| 8 | Practical selection of SVM parameters and noise estimation for SVM regressionbreakdown → | 2003 | 1564 |
| 9 | 2001 | 28 | |
| 10 | Learning from Data: Concepts, Theory, and Methodsbreakdown → | 1998 | 924 |
| 11 | The Nature Of Statistical Learning Theory~breakdown → | 1997 | 745 |
| 12 | From Statistics to Neural Networks: Theory and Pattern Recognition Applications | 1996 | 104 |
| 13 | Adaptive knot Placement for Nonparametric Regression | 1993 | 3 |
| 14 | 1993 | 1 | |
| 15 | Computation of the distributed associative memory and numerical stability of the generalized inverse matrix | 1989 | 1 |
| 16 | GRACEFUL DEGRADATION OF MULTIPROCESSOR SYSTEMS. | 1987 | 7 |
| 17 | ANALYSIS OF CC-BANYAN NETWORKS. | 1986 | 1 |
| 18 | PERFORMANCE OF NON-RECTANGULAR MULTISTAGE INTERCONNECTION NETWORKS. | 1986 | 1 |
| 19 | 1986 | 1 | |
| 20 | Fail-Softness Analysis of Tree-Based Local Area Networks. | 1985 | 1 |
About Vladimir Cherkassky
Vladimir Cherkassky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 128 papers that have together received 6.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (43 papers), Face and Expression Recognition (27 papers), Interconnection Networks and Systems (15 papers), Blind Source Separation Techniques (12 papers), Machine Learning and Algorithms (11 papers), Fault Detection and Control Systems (9 papers), Image and Signal Denoising Methods (7 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Computer Vision and Pattern Recognition (1.3k citations) and Signal Processing (587 citations). Vladimir Cherkassky has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Filip Mulier, Yunqian Ma, Tao Xiong, Xuhui Shao, Stephen M. LaConte, Stephen C. Strother, John R. Anderson, Xiaoping Hu, Jerome H. Friedman and Vladimir Vapnik. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.