Mark Crowley
Impact in
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Reinforcement Learning in Robotics
Papers in
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- Face and Expression Recognition 20
- Generative Adversarial Networks and Image Synthesis 6
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- Neural Networks and Applications 14
- Reinforcement Learning in Robotics 10
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Benyamin Ghojogh (38 shared papers)Ali Ghodsi (23 shared papers)Fakhri O. Karray (22 shared papers)Thomas G. Dietterich (3 shared papers)Sean McGregor (1 shared paper)Claire A. Montgomery (1 shared paper)David E. Calkin (1 shared paper)Rachel M. Houtman (1 shared paper)
- Journals
- Lecture notes in computer science (12 papers)IEEE Transactions on Affective Computing (1 paper)International Journal of Wildland Fire (1 paper)Journal of Artificial Intelligence Research (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Mark Crowley
60 papers receiving 515 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 9
- Artificial Intelligence 174
- Global and Planetary Change 94
- Safety, Risk, Reliability and Quality 38
- Computer Science Applications 24
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 67 | |
| 2 | 2023 | 50 | |
| 3 | 2018 | 44 | |
| 4 | 2018 | 40 | |
| 5 | 2020 | 39 | |
| 6 | 2022 | 25 | |
| 7 | 2020 | 22 | |
| 8 | 2023 | 20 | |
| 9 | 2016 | 19 | |
| 10 | 2019 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2018 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2013 | 9 | |
| 16 | PAC optimal MDP planning with application to invasive species management | 2015 | 9 |
| 17 | 2011 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2022 | 7 |
About Mark Crowley
Mark Crowley is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research, Statistics and Probability and Signal Processing, having authored 71 papers that have together received 534 indexed citations. Recurring topics across this work include Face and Expression Recognition (20 papers), Neural Networks and Applications (14 papers), Reinforcement Learning in Robotics (10 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Advanced Bandit Algorithms Research (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Traffic control and management (4 papers). The work is most often cited by research in Health Informatics (9 citations), Artificial Intelligence (174 citations), Global and Planetary Change (94 citations), Safety, Risk, Reliability and Quality (38 citations) and Computer Science Applications (24 citations). Mark Crowley has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Benyamin Ghojogh, Ali Ghodsi, Fakhri O. Karray, Thomas G. Dietterich, Sean McGregor, Claire A. Montgomery, David E. Calkin, Rachel M. Houtman, Fakhri Karray and Sebastian Fischmeister. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Affective Computing, International Journal of Wildland Fire, Journal of Artificial Intelligence Research and Journal of Machine Learning 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.