Mark V. Albert
Impact in
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- Balance, Gait, and Falls Prevention
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- Context-Aware Activity Recognition Systems
Papers in
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- EEG and Brain-Computer Interfaces 3
- Co-authors
- Konrad P. Körding (10 shared papers)Arun Jayaraman (11 shared papers)John R. Anderson (2 shared papers)Santiago D. Toledo (3 shared papers)Jon M. Fincham (1 shared paper)Mark B. Shapiro (1 shared paper)Myeong-Ho Sohn (1 shared paper)Cameron S. Carter (1 shared paper)
- Journals
- PM&R (4 papers)Journal of NeuroEngineering and Rehabilitation (4 papers)Archives of Physical Medicine and Rehabilitation (3 papers)PLoS ONE (3 papers)Artificial Intelligence Review (1 paper)
- Partner nations
- United StatesPortugalPhilippines
In The Last Decade
Mark V. Albert
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 125
- Physical Therapy, Sports Therapy and Rehabilitation 155
- Computer Vision and Pattern Recognition 327
- Cognitive Neuroscience 255
- Health Informatics 18
- Rehabilitation 80
Countries citing papers authored by Mark V. Albert
This map shows the geographic impact of Mark V. Albert'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 V. Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark V. Albert more than expected).
Fields of papers citing papers by Mark V. Albert
This network shows the impact of papers produced by Mark V. Albert. 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 V. Albert. The network helps show where Mark V. Albert may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark V. Albert, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 171 | |
| 2 | 2007 | 133 | |
| 3 | 2013 | 113 | |
| 4 | 2012 | 107 | |
| 5 | 2005 | 85 | |
| 6 | 2013 | 75 | |
| 7 | 2018 | 43 | |
| 8 | 2008 | 38 | |
| 9 | 2024 | 35 | |
| 10 | 2017 | 35 | |
| 11 | 2017 | 31 | |
| 12 | 2022 | 29 | |
| 13 | 2014 | 27 | |
| 14 | 2013 | 26 | |
| 15 | 2021 | 24 | |
| 16 | Eccentric Muscle Training in Sports and Orthopaedics | 1991 | 22 |
| 17 | 2019 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 2022 | 16 | |
| 20 | 2020 | 16 |
About Mark V. Albert
Mark V. Albert is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology and Psychiatry and Mental health, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cerebral Palsy and Movement Disorders (8 papers), Balance, Gait, and Falls Prevention (6 papers), Context-Aware Activity Recognition Systems (5 papers), Stroke Rehabilitation and Recovery (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Prosthetics and Rehabilitation Robotics (4 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (155 citations), Computer Vision and Pattern Recognition (327 citations), Cognitive Neuroscience (255 citations), Health Informatics (18 citations) and Rehabilitation (80 citations). Mark V. Albert has collaborated with scholars based in United States, Portugal and Philippines. Frequent co-authors include Konrad P. Körding, Arun Jayaraman, John R. Anderson, Santiago D. Toledo, Jon M. Fincham, Mark B. Shapiro, Myeong-Ho Sohn, Cameron S. Carter, Kwan‐Jin Jung and Iris Vilares. Their work appears in journals such as PM&R, Journal of NeuroEngineering and Rehabilitation, Archives of Physical Medicine and Rehabilitation, PLoS ONE and Artificial Intelligence Review.
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.