Howard M. Schwartz
- Control and Systems Engineering top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Liyu CaoSidney GivigiLingling CaoThomas KunzRichard GourdeauSaad MekhilefPooyan Alinaghi HosseinabadiH. R. Pota
- Topics
- Reinforcement Learning in Robotics (37 papers)Adaptive Control of Nonlinear Systems (30 papers)Guidance and Control Systems (23 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Howard M. Schwartz
119 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Control and Systems Engineering 580
- Aerospace Engineering 347
- Artificial Intelligence 321
- Computer Networks and Communications 258
- Electrical and Electronic Engineering 159
Countries citing papers authored by Howard M. Schwartz
This map shows the geographic impact of Howard M. Schwartz'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 Howard M. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard M. Schwartz more than expected).
Fields of papers citing papers by Howard M. Schwartz
This network shows the impact of papers produced by Howard M. Schwartz. 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 Howard M. Schwartz. The network helps show where Howard M. Schwartz may publish in the future.
Co-authorship network of co-authors of Howard M. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Howard M. Schwartz. A scholar is included among the top collaborators of Howard M. Schwartz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Howard M. Schwartz. Howard M. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | Multi-agent learning in the game of guarding a territory | 15 |
| 7 | 13 | |
| 8 | 41 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | Swarms of robots based on evolutionary game theory | 1 |
| 14 | Swarm Robot Systems Based on the Evolution of Personality Traits | 5 |
| 15 | An evaluation of adaptive robot control via velocity estimated feedback | 19 |
| 16 | 7 | |
| 17 | Sliding mode control for singularly perturbed system | 8 |
| 18 | 1 | |
| 19 | 10 | |
| 20 | A Recursive Identification Controller for Trajectory Tracking | 1 |
About Howard M. Schwartz
Howard M. Schwartz is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 129 papers that have together received 1.2k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (37 papers), Adaptive Control of Nonlinear Systems (30 papers) and Guidance and Control Systems (23 papers). The work is most often cited by research in Control and Systems Engineering (580 citations), Aerospace Engineering (347 citations) and Computer Networks and Communications (258 citations). Howard M. Schwartz has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Liyu Cao, Sidney Givigi, Lingling Cao, Thomas Kunz, Richard Gourdeau, Saad Mekhilef, Pooyan Alinaghi Hosseinabadi, H. R. Pota, Mohamed Atia and Shafiqul Islam. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Image Processing.
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.