Ivan Selin
Impact in
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- Blind Source Separation Techniques
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- Target Tracking and Data Fusion in Sensor Networks
- Neural Networks and Applications
Papers in
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- Neural Networks and Applications 2
- Target Tracking and Data Fusion in Sensor Networks 2
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- Distributed Sensor Networks and Detection Algorithms 3
- Co-authors
- A. N. Kolmogorov (1 shared paper)Ya. Ζ. Tsypkin (1 shared paper)I.S. Reed (1 shared paper)Herbert Freeman (1 shared paper)V. I. Chubinskiy-Nadezhdin (1 shared paper)Yuri A. Negulyaev (1 shared paper)R. E. Kalman (1 shared paper)T. W. Mullikin (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (4 papers)Mathematics of Computation (2 papers)IEEE Transactions on Automatic Control (2 papers)PLoS ONE (1 paper)Princeton University Press eBooks (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
Ivan Selin
16 papers receiving 252 citations
Peers
Comparison fields: 5 of 77
- Signal Processing 41
- Artificial Intelligence 87
- Statistics, Probability and Uncertainty 19
- Management Information Systems 22
- Applied Mathematics 25
Countries citing papers authored by Ivan Selin
This map shows the geographic impact of Ivan Selin'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 Ivan Selin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Selin more than expected).
Fields of papers citing papers by Ivan Selin
This network shows the impact of papers produced by Ivan Selin. 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 Ivan Selin. The network helps show where Ivan Selin may publish in the future.
Co-authors
The 8 scholars most cited alongside Ivan Selin, 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 | Interpolation and extrapolation of stationary random sequences. | 1962 | 111 |
| 2 | 1965 | 44 | |
| 3 | 1965 | 41 | |
| 4 | On Linear Methods in Probability Theory | 1960 | 20 |
| 5 | 1965 | 15 | |
| 6 | 2021 | 12 | |
| 7 | 1963 | 10 | |
| 8 | 1963 | 9 | |
| 9 | 1965 | 9 | |
| 10 | 1964 | 8 | |
| 11 | 1966 | 8 | |
| 12 | 1964 | 6 | |
| 13 | 1964 | 4 | |
| 14 | 1965 | 4 | |
| 15 | 1965 | 1 | |
| 16 | 2019 | 1 | |
| 17 | 1963 | 0 |
About Ivan Selin
Ivan Selin is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Management Science and Operations Research and Aerospace Engineering, having authored 17 papers that have together received 303 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (3 papers), Radar Systems and Signal Processing (2 papers), Advanced Statistical Process Monitoring (2 papers), Neural Networks and Applications (2 papers), Fault Detection and Control Systems (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers), Electric and Hybrid Vehicle Technologies (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (41 citations), Artificial Intelligence (87 citations), Statistics, Probability and Uncertainty (19 citations), Management Information Systems (22 citations) and Applied Mathematics (25 citations). Ivan Selin has collaborated with scholars based in United States and Russia. Frequent co-authors include A. N. Kolmogorov, Ya. Ζ. Tsypkin, I.S. Reed, Herbert Freeman, V. I. Chubinskiy-Nadezhdin, Yuri A. Negulyaev, R. E. Kalman and T. W. Mullikin. Their work appears in journals such as IEEE Transactions on Information Theory, Mathematics of Computation, IEEE Transactions on Automatic Control, PLoS ONE and Princeton University Press eBooks.
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.