Mark Donnelly
Impact in
- Demography top 5%
- Technology Use by Older Adults
- Occupational Therapy top 5%
Papers in
-
- Context-Aware Activity Recognition Systems 22
- Demography 19
- Technology Use by Older Adults 19
- Co-authors
- Chris Nugent (66 shared papers)Dewar Finlay (27 shared papers)N.D. Black (15 shared papers)Sally McClean (17 shared papers)Paul McCullagh (12 shared papers)Bryan Scotney (9 shared papers)Ian Cleland (10 shared papers)Liming Chen (8 shared papers)
- Journals
- JMIR Rehabilitation and Assistive Technologies (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)IEEE Access (1 paper)Personal and Ubiquitous Computing (1 paper)Information Economics and Policy (1 paper)
- Partner nations
- United KingdomIrelandSweden
In The Last Decade
Mark Donnelly
87 papers receiving 783 citations
Peers
Comparison fields: 5 of 117
- Demography 141
- Occupational Therapy 50
- Computer Vision and Pattern Recognition 227
- Cardiology and Cardiovascular Medicine 193
- Human-Computer Interaction 43
Countries citing papers authored by Mark Donnelly
This map shows the geographic impact of Mark Donnelly'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 Donnelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Donnelly more than expected).
Fields of papers citing papers by Mark Donnelly
This network shows the impact of papers produced by Mark Donnelly. 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 Donnelly. The network helps show where Mark Donnelly may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Donnelly, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 51 | |
| 2 | 2013 | 44 | |
| 3 | 2007 | 40 | |
| 4 | 2008 | 40 | |
| 5 | 2006 | 29 | |
| 6 | 2012 | 29 | |
| 7 | 2010 | 28 | |
| 8 | 2008 | 27 | |
| 9 | 2010 | 25 | |
| 10 | 2016 | 23 | |
| 11 | 2008 | 21 | |
| 12 | 2009 | 21 | |
| 13 | 2012 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2010 | 18 | |
| 16 | 2007 | 18 | |
| 17 | 2008 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2019 | 15 |
About Mark Donnelly
Mark Donnelly is a scholar working on Computer Vision and Pattern Recognition, Demography, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Artificial Intelligence, having authored 93 papers that have together received 812 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (22 papers), Technology Use by Older Adults (19 papers), ECG Monitoring and Analysis (16 papers), Cardiac electrophysiology and arrhythmias (11 papers), Dementia and Cognitive Impairment Research (10 papers), Mobile Health and mHealth Applications (10 papers), EEG and Brain-Computer Interfaces (9 papers) and Assistive Technology in Communication and Mobility (5 papers). The work is most often cited by research in Demography (141 citations), Occupational Therapy (50 citations), Computer Vision and Pattern Recognition (227 citations), Cardiology and Cardiovascular Medicine (193 citations) and Human-Computer Interaction (43 citations). Mark Donnelly has collaborated with scholars based in United Kingdom, Ireland and Sweden. Frequent co-authors include Chris Nugent, Dewar Finlay, N.D. Black, Sally McClean, Paul McCullagh, Bryan Scotney, Ian Cleland, Liming Chen, David Craig and Leo Galway. Their work appears in journals such as JMIR Rehabilitation and Assistive Technologies, IEEE Journal of Biomedical and Health Informatics, IEEE Access, Personal and Ubiquitous Computing and Information Economics and Policy.
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.