Mark Crowley
Impact in
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- Fire effects on ecosystems
Papers in ⓘ
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- Auction Theory and Applications 3
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- Reinforcement Learning in Robotics 7
- Bayesian Modeling and Causal Inference 3
- Co-authors
- Benyamin Ghojogh (9 shared papers)Fakhri Karray (6 shared papers)Thomas G. Dietterich (3 shared papers)Ali Ghodsi (2 shared papers)Fakhri Karray (1 shared paper)Sebastian Fischmeister (2 shared papers)Claire A. Montgomery (1 shared paper)David E. Calkin (1 shared paper)
- Journals
- Frontiers in Neuroscience (1 paper)Journal of Artificial Intelligence Research (1 paper)IEEE Transactions on Affective Computing (1 paper)Journal of Machine Learning Research (1 paper)IEEE Transactions on Computers (1 paper)
- Partner nations
- CanadaUnited StatesIran
In The Last Decade
Mark Crowley
32 papers receiving 371 citations
Peers
Comparison fields: 5 of 99
- Health Informatics 8
- Global and Planetary Change 89
- Computer Science Applications 21
- Safety, Risk, Reliability and Quality 34
- Artificial Intelligence 103
Countries citing papers authored by Mark Crowley
This map shows the geographic impact of Mark Crowley'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 Mark Crowley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Crowley more than expected).
Fields of papers citing papers by Mark Crowley
This network shows the impact of papers produced by Mark Crowley. 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 Mark Crowley. The network helps show where Mark Crowley may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Crowley, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 64 | |
| 2 | 2019 | 51 | |
| 3 | 2023 | 44 | |
| 4 | 2018 | 35 | |
| 5 | 2018 | 33 | |
| 6 | 2020 | 27 | |
| 7 | 2016 | 17 | |
| 8 | 2020 | 16 | |
| 9 | PAC optimal MDP planning with application to invasive species management | 2015 | 10 |
| 10 | 2019 | 10 | |
| 11 | 2013 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2011 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 3 |
About Mark Crowley
Mark Crowley is a scholar working on Management Science and Operations Research, Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition and Software, having authored 33 papers that have together received 392 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (7 papers), Face and Expression Recognition (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Video Surveillance and Tracking Methods (3 papers), Traffic control and management (3 papers), Auction Theory and Applications (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Forest Management and Policy (3 papers). The work is most often cited by research in Health Informatics (8 citations), Global and Planetary Change (89 citations), Computer Science Applications (21 citations), Safety, Risk, Reliability and Quality (34 citations) and Artificial Intelligence (103 citations). Mark Crowley has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include Benyamin Ghojogh, Fakhri Karray, Thomas G. Dietterich, Ali Ghodsi, Fakhri Karray, Sebastian Fischmeister, Claire A. Montgomery, David E. Calkin, Rachel M. Houtman and Sean McGregor. Their work appears in journals such as Frontiers in Neuroscience, Journal of Artificial Intelligence Research, IEEE Transactions on Affective Computing, Journal of Machine Learning Research and IEEE Transactions on Computers.
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.