Bernard Hudgins
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Human-Computer Interaction top 5%
- Signal Processing
- Co-authors
- Kevin EnglehartLevi J. HargroveErik SchemeAdrian D. C. ChanYves LosierNing JiangQuan ZhouP.A. Parker
- Topics
- Muscle activation and electromyography studies (10 papers)Neuroscience and Neural Engineering (6 papers)EEG and Brain-Computer Interfaces (4 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringIEEE Transactions on Neural Systems and Rehabilitation EngineeringBiomedical Signal Processing and Control
- Partner nations
- CanadaDenmarkUnited States
In The Last Decade
Bernard Hudgins
13 papers receiving 562 citations
Peers
Comparison fields: 5 of 50
- Biomedical Engineering 515
- Cognitive Neuroscience 354
- Cellular and Molecular Neuroscience 297
- Human-Computer Interaction 68
- Signal Processing 30
Countries citing papers authored by Bernard Hudgins
This map shows the geographic impact of Bernard Hudgins'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 Bernard Hudgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Hudgins more than expected).
Fields of papers citing papers by Bernard Hudgins
This network shows the impact of papers produced by Bernard Hudgins. 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 Bernard Hudgins. The network helps show where Bernard Hudgins may publish in the future.
Co-authorship network of co-authors of Bernard Hudgins
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Hudgins. A scholar is included among the top collaborators of Bernard Hudgins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernard Hudgins. Bernard Hudgins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Force Estimation in Multiple Degrees of Freedom From Intramuscular Emg Via Muscle Synergies | 1 |
| 2 | 1 | |
| 3 | 18 | |
| 4 | An Overview Of The UNB Hand System | 22 |
| 5 | 169 | |
| 6 | 19 | |
| 7 | Residual Shoulder Motion Vector Projection | 1 |
| 8 | 222 | |
| 9 | 31 | |
| 10 | 76 | |
| 11 | Multi-expert automatic speech recognition system using myoelectric signals | 7 |
| 12 | 6 | |
| 13 | 12 |
About Bernard Hudgins
Bernard Hudgins is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Cognitive Neuroscience, having authored 13 papers that have together received 585 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (10 papers), Neuroscience and Neural Engineering (6 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Cognitive Neuroscience (354 citations), Cellular and Molecular Neuroscience (297 citations) and Human-Computer Interaction (68 citations). Bernard Hudgins has collaborated with scholars based in Canada, Denmark and United States. Frequent co-authors include Kevin Englehart, Levi J. Hargrove, Erik Scheme, Adrian D. C. Chan, Yves Losier, Ning Jiang, Quan Zhou, P.A. Parker, Adam Wilson and Peter Kyberd. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Biomedical Signal Processing and Control.
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.