Evan Campbell

608 citations
21 papers · 308 · h-index 9

Impact in

Papers in

Evan Campbell

19 papers receiving 303 citations

Peers

Evan Campbell
Comparison fields: 5 of 46
  • Human-Computer Interaction 71
  • Cognitive Neuroscience 173
  • Biomedical Engineering 260
  • Cellular and Molecular Neuroscience 103
  • Rehabilitation 9
Replace Sidharth Pancholi with:
Sidharth Pancholi India
John W. Kelly United States
Baozeng Wang China
Deren Y. Barsakcioglu United Kingdom
Suguru Kanoga Japan
Bonkon Koo South Korea
Gabriel Gagnon-Turcotte Canada
A. Kostov Canada
Seyyed Bahram Borgheai United States
Reinmar J. Kobler Austria
Evan Campbell relative to Sidharth Pancholi India Sidharth Pancholi's profile →
Citations per field
00.5×1.5×
Sidharth Pancholi · 1×
Citations per year

Countries citing papers authored by Evan Campbell

Since Specialization
Citations

This map shows the geographic impact of Evan Campbell'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 Evan Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Campbell more than expected).

Fields of papers citing papers by Evan Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan Campbell. 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 Evan Campbell. The network helps show where Evan Campbell may publish in the future.

Co-authors

The 25 scholars most cited alongside Evan Campbell, 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 Evan Campbell Line = papers co-authored together Evan Campbell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202091
2 202139
3 201937
4 202330
5 202321
6 201917
7 201916
8 202011
9 20249
10 20248
11 20248
12 20247
13 20236
14 20242
15 20242
16 20231
17 20251
18 20241
19 20251
20 20250

About Evan Campbell

Evan Campbell is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Human-Computer Interaction and Social Psychology, having authored 21 papers that have together received 308 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (20 papers), EEG and Brain-Computer Interfaces (14 papers), Neuroscience and Neural Engineering (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Motor Control and Adaptation (3 papers), Hand Gesture Recognition Systems (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Heart Rate Variability and Autonomic Control (1 paper). The work is most often cited by research in Human-Computer Interaction (71 citations), Cognitive Neuroscience (173 citations), Biomedical Engineering (260 citations), Cellular and Molecular Neuroscience (103 citations) and Rehabilitation (9 citations). Evan Campbell has collaborated with scholars based in Canada, Norway and United States. Frequent co-authors include Erik Scheme, Angkoon Phinyomark, Scott Bateman, Alexandre Campeau‐Lecours, Simon Tam, Paul Fortier, Benoit Gosselin, Rami N. Khushaba, Mounir Boukadoum and Ali H. Al‐Timemy. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Frontiers in Neuroscience, Journal of Neural Engineering, Frontiers in Bioengineering and Biotechnology and IEEE Access.

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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