Robert H. Crites
Impact in
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- Game Theory and Applications
- Auction Theory and Applications
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
Papers in
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- Traffic control and management 3
- Elevator Systems and Control 3
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- Smart Parking Systems Research 3
- Co-authors
- Andrew G. Barto (4 shared papers)Tüomas Sandholm (1 shared paper)Naoki Abe (2 shared papers)R.L. Kennedy (1 shared paper)
- Journals
- Biosystems (1 paper)Machine Learning (1 paper)IBM Journal of Research and Development (1 paper)Neural Information Processing Systems (2 papers)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Robert H. Crites
7 papers receiving 639 citations
Peers
Comparison fields: 5 of 70
- Management Science and Operations Research 173
- Artificial Intelligence 418
- Control and Systems Engineering 195
- Safety Research 53
- Computational Theory and Mathematics 86
Countries citing papers authored by Robert H. Crites
This map shows the geographic impact of Robert H. Crites'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 Robert H. Crites with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert H. Crites more than expected).
Fields of papers citing papers by Robert H. Crites
This network shows the impact of papers produced by Robert H. Crites. 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 Robert H. Crites. The network helps show where Robert H. Crites may publish in the future.
Co-authors
The 4 scholars most cited alongside Robert H. Crites, 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 | Improving Elevator Performance Using Reinforcement Learning | 1995 | 316 |
| 2 | 1996 | 209 | |
| 3 | 1998 | 175 | |
| 4 | An Actor/Critic Algorithm that is Equivalent to Q-Learning | 1994 | 17 |
| 5 | Large-scale dynamic optimization using teams of reinforcement learning agents | 1996 | 15 |
| 6 | 2013 | 5 | |
| 7 | 2014 | 1 |
About Robert H. Crites
Robert H. Crites is a scholar working on Control and Systems Engineering, Building and Construction, Artificial Intelligence, Management Science and Operations Research and Sociology and Political Science, having authored 7 papers that have together received 738 indexed citations. Recurring topics across this work include Traffic control and management (3 papers), Smart Parking Systems Research (3 papers), Elevator Systems and Control (3 papers), Reinforcement Learning in Robotics (2 papers), Adaptive Dynamic Programming Control (1 paper), Experimental Behavioral Economics Studies (1 paper), Complex Network Analysis Techniques (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (173 citations), Artificial Intelligence (418 citations), Control and Systems Engineering (195 citations), Safety Research (53 citations) and Computational Theory and Mathematics (86 citations). Robert H. Crites has collaborated with scholars based in United States and Japan. Frequent co-authors include Andrew G. Barto, Tüomas Sandholm, Naoki Abe and R.L. Kennedy. Their work appears in journals such as Biosystems, Machine Learning, IBM Journal of Research and Development, Neural Information Processing Systems and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).
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.