N.D. Black

102 papers receiving 1.4k citations

Peers

N.D. Black
Comparison fields: 5 of 137
  • Health Information Management 171
  • Rehabilitation 147
  • Computer Vision and Pattern Recognition 320
  • Cardiology and Cardiovascular Medicine 229
  • Signal Processing 116
Replace Fani Deligianni with:
Fani Deligianni United Kingdom
Hamid GholamHosseini New Zealand
Nuno Pombo Portugal
Charence Wong United Kingdom
Dewar Finlay United Kingdom
Laura M. Roa Spain
Daniele Ravì Italy
Hamid Reza Marateb Iran
Mark van Gils Finland
Emmanuel Agu United States
N.D. Black relative to Fani Deligianni United Kingdom Fani Deligianni's profile →
Citations per field
00.5×3.4×
Fani Deligianni · 1×
Citations per year

Countries citing papers authored by N.D. Black

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with N.D. Black Line = papers co-authored together N.D. Black links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 2007137
3 200871
4 199753
5 201045
6 201044
7 199943
8 200542
9 200741
10 200934
11 200831
12 200031
13 200630
14 200329
15 200629
16 200328
17 200425
18 199924
19 200223
20 200823

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 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (20 papers), Neural Networks and Applications (10 papers), Stroke Rehabilitation and Recovery (10 papers), Mobile Health and mHealth Applications (9 papers), Hearing Loss and Rehabilitation (8 papers), EEG and Brain-Computer Interfaces (7 papers), Context-Aware Activity Recognition Systems (7 papers) and Speech and Audio Processing (7 papers). The work is most often cited by research in Health Information Management (171 citations), Rehabilitation (147 citations), Computer Vision and Pattern Recognition (320 citations), Cardiology and Cardiovascular Medicine (229 citations) and Signal Processing (116 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, Roy Harper, Haiying Wang, Francisco Azuaje, Dewar Finlay and Richard Davies. 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.

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