J. Markowitz
Impact in
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- Balance, Gait, and Falls Prevention
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- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Advanced Sensor and Energy Harvesting Materials
- Robotic Locomotion and Control
Papers in
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- Domain Adaptation and Few-Shot Learning 2
- Adversarial Robustness in Machine Learning 1
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- Muscle activation and electromyography studies 2
- Advanced Sensor and Energy Harvesting Materials 2
- Co-authors
- Hugh Herr (2 shared papers)Michael Frederick Eilenberg (1 shared paper)Pavitra Krishnaswamy (1 shared paper)Ken Endo (1 shared paper)I-Jeng Wang (5 shared papers)M. Zanolin (1 shared paper)E. Katsavounidis (1 shared paper)L. Cadonati (1 shared paper)
- Journals
- Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)PLoS Computational Biology (1 paper)PLoS ONE (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesFinlandIndia
In The Last Decade
J. Markowitz
11 papers receiving 148 citations
Peers
Comparison fields: 5 of 60
- Physical Therapy, Sports Therapy and Rehabilitation 11
- Biomedical Engineering 94
- Rehabilitation 10
- Applied Psychology 4
- Health Informatics 1
Countries citing papers authored by J. Markowitz
This map shows the geographic impact of J. Markowitz'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 J. Markowitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Markowitz more than expected).
Fields of papers citing papers by J. Markowitz
This network shows the impact of papers produced by J. Markowitz. 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 J. Markowitz. The network helps show where J. Markowitz may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Markowitz, 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 | 2011 | 67 | |
| 2 | 2016 | 32 | |
| 3 | 2018 | 20 | |
| 4 | 2022 | 15 | |
| 5 | 2008 | 10 | |
| 6 | 2017 | 2 | |
| 7 | The First International Competition in Machine Reconnaissance Blind Chess | 2019 | 2 |
| 8 | 2023 | 1 | |
| 9 | Deep CPT-RL: Imparting Human-Like Risk Sensitivity to Artificial Agents. | 2021 | 1 |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 |
About J. Markowitz
J. Markowitz is a scholar working on Artificial Intelligence, Biomedical Engineering, Surgery, Automotive Engineering and Pharmacology, having authored 11 papers that have together received 152 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (2 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Adversarial Robustness in Machine Learning (1 paper), Evacuation and Crowd Dynamics (1 paper), Remote-Sensing Image Classification (1 paper), COVID-19 diagnosis using AI (1 paper) and Musculoskeletal pain and rehabilitation (1 paper). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (11 citations), Biomedical Engineering (94 citations), Rehabilitation (10 citations), Applied Psychology (4 citations) and Health Informatics (1 citation). J. Markowitz has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Hugh Herr, Michael Frederick Eilenberg, Pavitra Krishnaswamy, Ken Endo, I-Jeng Wang, M. Zanolin, E. Katsavounidis, L. Cadonati, Michael A. Rosen and Aaron S. Dietz. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, PLoS Computational Biology, PLoS ONE, Proceedings of the AAAI Conference on Artificial Intelligence and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.