N.D. Black
Impact in
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- Artificial Intelligence in Healthcare
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
Papers in
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- ECG Monitoring and Analysis 18
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- Neural Networks and Applications 8
- Co-authors
- Huiru Zheng (22 shared papers)Paul McCullagh (27 shared papers)Chris Nugent (40 shared papers)N. Harris (3 shared papers)Yue Huang (2 shared papers)Haiying Wang (6 shared papers)Roy Harper (7 shared papers)Francisco Azuaje (9 shared papers)
- Journals
- Artificial Intelligence in Medicine (4 papers)BMC Medical Informatics and Decision Making (3 papers)Journal of Telemedicine and Telecare (3 papers)IEEE Transactions on Biomedical Engineering (2 papers)IEEE Transactions on NanoBioscience (2 papers)
- Partner nations
- United KingdomIrelandCanada
In The Last Decade
N.D. Black
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 134
- Health Information Management 116
- Rehabilitation 110
- Computer Vision and Pattern Recognition 236
- Cardiology and Cardiovascular Medicine 203
- Signal Processing 98
Countries citing papers authored by N.D. Black
This map shows the geographic impact of N.D. Black'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 N.D. Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.D. Black more than expected).
Fields of papers citing papers by N.D. Black
This network shows the impact of papers produced by N.D. Black. 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 N.D. Black. The network helps show where N.D. Black may publish in the future.
Co-authors
The 25 scholars most cited alongside N.D. Black, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 124 | |
| 2 | 2007 | 120 | |
| 3 | 2008 | 59 | |
| 4 | 2010 | 42 | |
| 5 | 1997 | 42 | |
| 6 | 2010 | 42 | |
| 7 | 2007 | 40 | |
| 8 | 1999 | 38 | |
| 9 | 2009 | 32 | |
| 10 | 2005 | 30 | |
| 11 | 2006 | 29 | |
| 12 | 2008 | 27 | |
| 13 | 2003 | 25 | |
| 14 | 2003 | 25 | |
| 15 | 1999 | 23 | |
| 16 | 2008 | 22 | |
| 17 | 2000 | 22 | |
| 18 | 2006 | 22 | |
| 19 | 2004 | 21 | |
| 20 | 2002 | 21 |
About N.D. Black
N.D. Black is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (18 papers), Neural Networks and Applications (8 papers), Hearing Loss and Rehabilitation (8 papers), Stroke Rehabilitation and Recovery (8 papers), Mobile Health and mHealth Applications (7 papers), Speech and Audio Processing (7 papers), EEG and Brain-Computer Interfaces (6 papers) and Electronic Health Records Systems (5 papers). The work is most often cited by research in Health Information Management (116 citations), Rehabilitation (110 citations), Computer Vision and Pattern Recognition (236 citations), Cardiology and Cardiovascular Medicine (203 citations) and Signal Processing (98 citations). N.D. Black has collaborated with scholars based in United Kingdom, Ireland and Canada. Frequent co-authors include Huiru Zheng, Paul McCullagh, Chris Nugent, N. Harris, Yue Huang, Haiying Wang, Roy Harper, Francisco Azuaje, Dewar Finlay and Mark Donnelly. Their work appears in journals such as Artificial Intelligence in Medicine, BMC Medical Informatics and Decision Making, Journal of Telemedicine and Telecare, IEEE Transactions on Biomedical Engineering and IEEE Transactions on NanoBioscience.
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.