A. Guez
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- Advanced Control Systems Optimization 8
- Adaptive Control of Nonlinear Systems 6
- Robot Manipulation and Learning 6
- Control Systems and Identification 6
- Robotic Mechanisms and Dynamics 5
- Artificial Intelligence top 5%
- Neural Networks and Applications 9
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- Advanced Memory and Neural Computing 5
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- Muscle activation and electromyography studies 5
A. Guez
34 papers receiving 375 citations
Peers
Comparison fields: 5 of 61
- Control and Systems Engineering 191
- Artificial Intelligence 241
- Computer Networks and Communications 115
- Statistical and Nonlinear Physics 40
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by A. Guez
This map shows the geographic impact of A. Guez'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 A. Guez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Guez more than expected).
Fields of papers citing papers by A. Guez
This network shows the impact of papers produced by A. Guez. 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 A. Guez. The network helps show where A. Guez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. Guez, 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 | 0 | |
| 2 | 2006 | 23 | |
| 3 | 2005 | 1 | |
| 4 | 2005 | 0 | |
| 5 | 2005 | 2 | |
| 6 | 2005 | 1 | |
| 7 | 2004 | 2 | |
| 8 | 2003 | 0 | |
| 9 | 2003 | 1 | |
| 10 | 2003 | 4 | |
| 11 | 2002 | 1 | |
| 12 | 2002 | 28 | |
| 13 | 2002 | 1 | |
| 14 | 2002 | 1 | |
| 15 | 1992 | 21 | |
| 16 | 1989 | 6 | |
| 17 | 1988 | 109 | |
| 18 | ON STABLE POINTS AND CYCLES IN BINARY NEURAL NETWORKS. | 1987 | 2 |
| 19 | 1986 | 16 | |
| 20 | 1986 | 2 |
About A. Guez
A. Guez is a scholar working on Control and Systems Engineering, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 45 papers that have together received 422 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Advanced Control Systems Optimization (8 papers), Adaptive Control of Nonlinear Systems (6 papers), Robot Manipulation and Learning (6 papers), Control Systems and Identification (6 papers), Advanced Memory and Neural Computing (5 papers), Robotic Mechanisms and Dynamics (5 papers) and Muscle activation and electromyography studies (5 papers). The work is most often cited by research in Control and Systems Engineering (191 citations), Artificial Intelligence (241 citations), Computer Networks and Communications (115 citations), Statistical and Nonlinear Physics (40 citations) and Computer Vision and Pattern Recognition (39 citations). A. Guez has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Moshe Kam, J. Barhen, Z. Ahmad, David Silver, Peter Dayan, Itzhak Barkana, Ilan Rusnak, A. Meystel, Nagarajan Kandasamy and Karlene A. Kosanovich. Their work appears in journals such as IEEE Journal of Selected Topics in Quantum Electronics, IEEE Transactions on Human-Machine Systems, IEEE Transactions on Control Systems Technology, IEEE Transactions on Automatic Control and Journal of Artificial Intelligence Research.
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.