Marcia K. O’Malley
- Rehabilitation top 0.05%
- Stroke Rehabilitation and Recovery 72
- Human-Computer Interaction top 0.5%
- Cognitive Neuroscience top 1%
- Tactile and Sensory Interactions 70
- Motor Control and Adaptation 50
- EEG and Brain-Computer Interfaces 30
- Biomedical Engineering top 0.5%
- Muscle activation and electromyography studies 81
- Prosthetics and Rehabilitation Robotics 27
-
- Teleoperation and Haptic Systems 69
-
- Spinal Cord Injury Research 24
- Co-authors
- Abhishek GuptaAli Utku PehlivanDylan P. LoseyFabrizio SergiChad G. RoseCraig G. McDonaldVolkan PatoğluMichael Goldfarb
- Partner nations
- United StatesItalyTürkiye
In The Last Decade
Marcia K. O’Malley
232 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Rehabilitation 2.0k
- Human-Computer Interaction 592
- Cognitive Neuroscience 2.0k
- Biomedical Engineering 3.0k
- Control and Systems Engineering 761
Countries citing papers authored by Marcia K. O’Malley
This map shows the geographic impact of Marcia K. O’Malley'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 Marcia K. O’Malley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcia K. O’Malley more than expected).
Fields of papers citing papers by Marcia K. O’Malley
This network shows the impact of papers produced by Marcia K. O’Malley. 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 Marcia K. O’Malley. The network helps show where Marcia K. O’Malley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcia K. O’Malley, 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 | 2025 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 30 | |
| 6 | A decade retrospective of medical robotics research from 2010 to 2020breakdown → | 2021 | 306 |
| 7 | 2020 | 30 | |
| 8 | 2020 | 36 | |
| 9 | 2020 | 8 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 35 | |
| 12 | 2018 | 99 | |
| 13 | 2018 | 25 | |
| 14 | 2018 | 5 | |
| 15 | Including Uncertainty when Learning from Human Corrections. | 2018 | 3 |
| 16 | Learning Robot Objectives from Physical Human Interaction | 2017 | 38 |
| 17 | 2017 | 59 | |
| 18 | 2017 | 25 | |
| 19 | Outcomes of recent efforts at rice university to incorporate entrepreneurship concepts into interdisciplinary capstone design | 2012 | 4 |
| 20 | 2006 | 19 |
About Marcia K. O’Malley
Marcia K. O’Malley is a scholar working on Rehabilitation, Cognitive Neuroscience and Human-Computer Interaction, having authored 236 papers that have together received 5.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (81 papers), Stroke Rehabilitation and Recovery (72 papers), Tactile and Sensory Interactions (70 papers), Teleoperation and Haptic Systems (69 papers), Motor Control and Adaptation (50 papers), EEG and Brain-Computer Interfaces (30 papers), Prosthetics and Rehabilitation Robotics (27 papers) and Spinal Cord Injury Research (24 papers). The work is most often cited by research in Rehabilitation (2.0k citations), Human-Computer Interaction (592 citations) and Cognitive Neuroscience (2.0k citations). Marcia K. O’Malley has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Abhishek Gupta, Ali Utku Pehlivan, Dylan P. Losey, Fabrizio Sergi, Chad G. Rose, Craig G. McDonald, Volkan Patoğlu, Michael Goldfarb, Edoardo Battaglia and Amy Blank.
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.