David A. Handelman
Impact in
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- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Control Systems and Identification
- Advanced Control Systems Optimization
- Iterative Learning Control Systems
- Robot Manipulation and Learning
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
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- Robot Manipulation and Learning 8
- Fault Detection and Control Systems 5
- Advanced Control Systems Optimization 2
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- Neural Networks and Applications 7
- AI-based Problem Solving and Planning 6
- Fuzzy Logic and Control Systems 4
- Co-authors
- Stephen H. Lane (11 shared papers)Jack Gelfand (11 shared papers)Robert F. Stengel (6 shared papers)Brock A. Wester (1 shared paper)Pablo Celnik (1 shared paper)Margaret C. Thompson (1 shared paper)Manuel A. Anaya (1 shared paper)Gabriela Cantarero (1 shared paper)
- Journals
- Frontiers in Neurorobotics (1 paper)Journal of Guidance Control and Dynamics (1 paper)IEEE Control Systems (1 paper)Computers & Mathematics with Applications (1 paper)IFAC Proceedings Volumes (1 paper)
- Partner nations
- United States
In The Last Decade
David A. Handelman
21 papers receiving 453 citations
Peers
Comparison fields: 5 of 73
- Control and Systems Engineering 278
- Artificial Intelligence 246
- Signal Processing 28
- Cognitive Neuroscience 41
- Neurology 16
Countries citing papers authored by David A. Handelman
This map shows the geographic impact of David A. Handelman'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 David A. Handelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Handelman more than expected).
Fields of papers citing papers by David A. Handelman
This network shows the impact of papers produced by David A. Handelman. 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 David A. Handelman. The network helps show where David A. Handelman may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Handelman, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 203 | |
| 2 | 1990 | 87 | |
| 3 | 2022 | 38 | |
| 4 | 1987 | 33 | |
| 5 | 1989 | 33 | |
| 6 | Multi-Layer Perceptrons with B-Spline Receptive Field Functions | 1990 | 15 |
| 7 | 1989 | 11 | |
| 8 | 1988 | 11 | |
| 9 | THEORY FOR FAULT-TOLERANT FLIGHT CONTROL COMBINING EXPERT SYSTEM AND ANALYTICAL REDUNDANCY CONCEPTS. | 1986 | 8 |
| 10 | 1988 | 7 | |
| 11 | 1991 | 7 | |
| 12 | A rule-based paradigm for intelligent adaptive flight control | 1989 | 6 |
| 13 | 1996 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 1990 | 3 | |
| 17 | 2022 | 3 | |
| 18 | An Application of Artificial Intelligence Theory to Reconfigurable Flight Control. | 1987 | 3 |
| 19 | 2010 | 3 | |
| 20 | 2022 | 3 |
About David A. Handelman
David A. Handelman is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 489 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Neural Networks and Applications (7 papers), AI-based Problem Solving and Planning (6 papers), Fault Detection and Control Systems (5 papers), Fuzzy Logic and Control Systems (4 papers), Advanced Control Systems Optimization (2 papers), Muscle activation and electromyography studies (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (278 citations), Artificial Intelligence (246 citations), Signal Processing (28 citations), Cognitive Neuroscience (41 citations) and Neurology (16 citations). David A. Handelman has collaborated with scholars based in United States. Frequent co-authors include Stephen H. Lane, Jack Gelfand, Robert F. Stengel, Brock A. Wester, Pablo Celnik, Margaret C. Thompson, Manuel A. Anaya, Gabriela Cantarero, Francesco V. Tenore and David P. McMullen. Their work appears in journals such as Frontiers in Neurorobotics, Journal of Guidance Control and Dynamics, IEEE Control Systems, Computers & Mathematics with Applications and IFAC Proceedings Volumes.
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.