М.А. Айзерман
Impact in
- General Decision Sciences top 5%
-
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
Papers in
-
- Advanced Research in Systems and Signal Processing 2
- Advanced Data Processing Techniques 2
-
- Advanced Algebra and Logic 3
- Co-authors
- King‐Sun Fu (1 shared paper)F.R. GANTMAKHER (2 shared papers)Fuad Aleskerov (2 shared papers)Felix R. Gantmacher (1 shared paper)Ye.S. Pyatnitskiy (1 shared paper)M. Г. Крейн (1 shared paper)S L Sobolev (1 shared paper)Elena Braverman (1 shared paper)
- Journals
- Mathematical Social Sciences (2 papers)IEEE Transactions on Automatic Control (2 papers)Social Choice and Welfare (1 paper)The Quarterly Journal of Mechanics and Applied Mathematics (1 paper)Journal of the Franklin Institute (1 paper)
- Partner nations
- Russia
In The Last Decade
М.А. Айзерман
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- General Decision Sciences 50
- Computer Vision and Pattern Recognition 426
- Artificial Intelligence 650
- Signal Processing 149
- Computational Theory and Mathematics 169
Countries citing papers authored by М.А. Айзерман
This map shows the geographic impact of М.А. Айзерман'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 М.А. Айзерман with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites М.А. Айзерман more than expected).
Fields of papers citing papers by М.А. Айзерман
This network shows the impact of papers produced by М.А. Айзерман. 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 М.А. Айзерман. The network helps show where М.А. Айзерман may publish in the future.
Co-authors
The 10 scholars most cited alongside М.А. Айзерман, 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 | Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning Hit paper breakdown → | 1964 | 912 |
| 2 | 1976 | 292 | |
| 3 | 1981 | 116 | |
| 4 | 1985 | 50 | |
| 5 | 1958 | 39 | |
| 6 | 1986 | 18 | |
| 7 | 1958 | 16 | |
| 8 | 1978 | 7 | |
| 9 | 1977 | 7 | |
| 10 | 1983 | 6 | |
| 11 | 1986 | 5 | |
| 12 | 1960 | 5 | |
| 13 | Logic, automata, and algorithms | 1971 | 3 |
| 14 | 1960 | 3 | |
| 15 | 1965 | 2 | |
| 16 | 1980 | 2 | |
| 17 | 1989 | 2 | |
| 18 | 1963 | 1 | |
| 19 | PROBABILITY PROBLEM ABOUT INSTRUCTION OF AUTOMATA TO DISTINGUISH CLASSES AND THE METHOD OF POTENTIAL FUNCTIONS | 1965 | 0 |
| 20 | The algorithmic Insolubility of the Problem of Recognizing the Representability of recursive events in finite automata | 1972 | 0 |
About М.А. Айзерман
М.А. Айзерман is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical Control Systems and Analysis (3 papers), Educational Technology and Optimization (3 papers), Advanced Algebra and Logic (3 papers), Fuzzy Logic and Control Systems (2 papers), Quantum chaos and dynamical systems (2 papers), Game Theory and Voting Systems (2 papers), Advanced Research in Systems and Signal Processing (2 papers) and Advanced Data Processing Techniques (2 papers). The work is most often cited by research in General Decision Sciences (50 citations), Computer Vision and Pattern Recognition (426 citations), Artificial Intelligence (650 citations), Signal Processing (149 citations) and Computational Theory and Mathematics (169 citations). М.А. Айзерман has collaborated with scholars based in Russia. Frequent co-authors include King‐Sun Fu, F.R. GANTMAKHER, Fuad Aleskerov, Felix R. Gantmacher, Ye.S. Pyatnitskiy, M. Г. Крейн, S L Sobolev, Elena Braverman, L. S. Pontryagin and Ayellet Tal. Their work appears in journals such as Mathematical Social Sciences, IEEE Transactions on Automatic Control, Social Choice and Welfare, The Quarterly Journal of Mechanics and Applied Mathematics and Journal of the Franklin Institute.
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.