R. E. Kalman
Impact in
- Control and Systems Engineering top 0.02%
- Fault Detection and Control Systems
- Control Systems and Identification
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Artificial Intelligence top 0.05%
- Target Tracking and Data Fusion in Sensor Networks
Papers in
-
- Control Systems and Identification 11
- Advanced Control Systems Optimization 11
- Adaptive Control of Nonlinear Systems 8
- Stability and Control of Uncertain Systems 5
- Control and Stability of Dynamical Systems 5
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- Target Tracking and Data Fusion in Sensor Networks 7
- Neural Networks and Applications 3
- Co-authors
- R. S. Bucy (1 shared paper)John E. A. Bertram (6 shared papers)Peter Falb (2 shared papers)Michael A. Arbib (1 shared paper)Steve Pincus (2 shared papers)Leonard Weiss (1 shared paper)Robert E. Kalaba (1 shared paper)Bostwick F. Wyman (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)IEEE Transactions on Automatic Control (4 papers)Journal of Guidance Control and Dynamics (2 papers)Journal of the Franklin Institute (2 papers)International Journal of Engineering Science (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
R. E. Kalman
60 papers receiving 30.7k citations
R. E. Kalman's Hit Papers
Peers
Comparison fields: 5 of 216
- Control and Systems Engineering 11.3k
- Artificial Intelligence 9.7k
- Aerospace Engineering 5.5k
- Statistical and Nonlinear Physics 2.4k
- Computer Vision and Pattern Recognition 3.4k
Countries citing papers authored by R. E. Kalman
This map shows the geographic impact of R. E. Kalman'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 R. E. Kalman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. E. Kalman more than expected).
Fields of papers citing papers by R. E. Kalman
This network shows the impact of papers produced by R. E. Kalman. 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 R. E. Kalman. The network helps show where R. E. Kalman may publish in the future.
Co-authors
The 20 scholars most cited alongside R. E. Kalman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A New Approach to Linear Filtering and Prediction Problems Hit paper breakdown → | 1960 | 20463 |
| 2 | New Results in Linear Filtering and Prediction Theory Hit paper breakdown → | 1961 | 4084 |
| 3 | Contributions to the theory of optimal control Hit paper breakdown → | 1960 | 1130 |
| 4 | Mathematical Description of Linear Dynamical Systems Hit paper breakdown → | 1963 | 1086 |
| 5 | Topics in Mathematical System Theory Hit paper breakdown → | 1969 | 1059 |
| 6 | On the general theory of control systems Hit paper breakdown → | 1960 | 736 |
| 7 | When Is a Linear Control System Optimal? Hit paper breakdown → | 1964 | 732 |
| 8 | Effective construction of linear state-variable models from input/output functions. Hit paper breakdown → | 1965 | 578 |
| 9 | Control System Analysis and Design Via the “Second Method” of Lyapunov: I—Continuous-Time Systems Hit paper breakdown → | 1960 | 538 |
| 10 | Controllability of linear dynamical systems Hit paper breakdown → | 1963 | 424 |
| 11 | LYAPUNOV FUNCTIONS FOR THE PROBLEM OF LUR'E IN AUTOMATIC CONTROL Hit paper breakdown → | 1963 | 419 |
| 12 | New results in linear prediction and filtering theory Trans. AMSE | 1961 | 291 |
| 13 | 1959 | 284 | |
| 14 | 1960 | 220 | |
| 15 | 1959 | 157 | |
| 16 | 1958 | 154 | |
| 17 | 1962 | 142 | |
| 18 | 2004 | 138 | |
| 19 | 1959 | 138 | |
| 20 | 1997 | 137 |
About R. E. Kalman
R. E. Kalman is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 61 papers that have together received 33.7k indexed citations. Recurring topics across this work include Control Systems and Identification (11 papers), Advanced Control Systems Optimization (11 papers), Adaptive Control of Nonlinear Systems (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Stability and Control of Uncertain Systems (5 papers), Control and Stability of Dynamical Systems (5 papers), Statistical Mechanics and Entropy (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Control and Systems Engineering (11.3k citations), Artificial Intelligence (9.7k citations), Aerospace Engineering (5.5k citations), Statistical and Nonlinear Physics (2.4k citations) and Computer Vision and Pattern Recognition (3.4k citations). R. E. Kalman has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include R. S. Bucy, John E. A. Bertram, Peter Falb, Michael A. Arbib, Steve Pincus, Leonard Weiss, Robert E. Kalaba, Bostwick F. Wyman, Brian D. O. Anderson and Andrew J. Viterbi. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Automatic Control, Journal of Guidance Control and Dynamics, Journal of the Franklin Institute and International Journal of Engineering Science.
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.