Michael Mace
Impact in
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
- Human-Computer Interaction top 5%
Papers in
-
- EEG and Brain-Computer Interfaces 7
-
- Muscle activation and electromyography studies 6
- Co-authors
- Joel West (1 shared paper)Etienne Burdet (15 shared papers)Paul Bentley (5 shared papers)Paul Rinne (5 shared papers)Ravi Vaidyanathan (14 shared papers)Nawal Kinany (2 shared papers)Shouyan Wang (8 shared papers)Anthony A. Rayner (1 shared paper)
- Journals
- Journal of NeuroEngineering and Rehabilitation (2 papers)Neurocomputing (1 paper)Expert Systems with Applications (1 paper)Journal of Hand Therapy (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Michael Mace
32 papers receiving 546 citations
Peers
Comparison fields: 5 of 86
- Rehabilitation 100
- Human-Computer Interaction 69
- Strategy and Management 122
- Cognitive Neuroscience 127
- Information Systems and Management 44
Countries citing papers authored by Michael Mace
This map shows the geographic impact of Michael Mace'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 Michael Mace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Mace more than expected).
Fields of papers citing papers by Michael Mace
This network shows the impact of papers produced by Michael Mace. 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 Michael Mace. The network helps show where Michael Mace may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Mace, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 203 | |
| 2 | 2019 | 58 | |
| 3 | 2017 | 50 | |
| 4 | 2019 | 41 | |
| 5 | 2015 | 27 | |
| 6 | 2016 | 27 | |
| 7 | 2017 | 20 | |
| 8 | 2022 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2010 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2012 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 8 | |
| 16 | 2011 | 7 | |
| 17 | 2011 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2019 | 5 |
About Michael Mace
Michael Mace is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Neurology, Rehabilitation and Signal Processing, having authored 34 papers that have together received 578 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (8 papers), EEG and Brain-Computer Interfaces (7 papers), Speech and Audio Processing (7 papers), Muscle activation and electromyography studies (6 papers), Neuroscience and Neural Engineering (5 papers), Neurological disorders and treatments (5 papers), Hand Gesture Recognition Systems (4 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Rehabilitation (100 citations), Human-Computer Interaction (69 citations), Strategy and Management (122 citations), Cognitive Neuroscience (127 citations) and Information Systems and Management (44 citations). Michael Mace has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Joel West, Etienne Burdet, Paul Bentley, Paul Rinne, Ravi Vaidyanathan, Nawal Kinany, Shouyan Wang, Anthony A. Rayner, Lalit Gupta and Khondaker A. Mamun. Their work appears in journals such as Journal of NeuroEngineering and Rehabilitation, Neurocomputing, Expert Systems with Applications, Journal of Hand Therapy and PLoS Computational Biology.
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.