Eric Wade

46 papers receiving 540 citations

Peers

Eric Wade
Comparison fields: 5 of 74
  • Rehabilitation 209
  • Physical Therapy, Sports Therapy and Rehabilitation 110
  • Human-Computer Interaction 65
  • Neurology 79
  • Biomedical Engineering 193
Replace Claudia Ferraris with:
Claudia Ferraris Italy
Matteo Malosio Italy
Won-Kyung Song South Korea
Thanassis Rikakis United States
Hossein Mousavi Hondori United States
Edwin Daniel Oña Spain
Neelesh Kumar India
Jeffrey A. Lewis United States
Bambi R. Brewer United States
Chien‐Yen Chang United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric Wade

Since Specialization
Citations

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

Fields of papers citing papers by Eric Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201049
2 201948
3 201146
4 201938
5 201536
6 201730
7 201025
8 201025
9 200622
10 201121
11 200718
12 201117
13 202115
14 201314
15 200914
16 201114
17 200512
18 200212
19 200411
20 20049

About Eric Wade

Eric Wade is a scholar working on Rehabilitation, Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation, Psychiatry and Mental health and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 564 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (27 papers), Balance, Gait, and Falls Prevention (12 papers), Muscle activation and electromyography studies (9 papers), Cerebral Palsy and Movement Disorders (8 papers), Acute Ischemic Stroke Management (6 papers), Context-Aware Activity Recognition Systems (5 papers), Gait Recognition and Analysis (4 papers) and Power Line Communications and Noise (4 papers). The work is most often cited by research in Rehabilitation (209 citations), Physical Therapy, Sports Therapy and Rehabilitation (110 citations), Human-Computer Interaction (65 citations), Neurology (79 citations) and Biomedical Engineering (193 citations). Eric Wade has collaborated with scholars based in United States and Brazil. Frequent co-authors include Maja J. Matarić, H. Harry Asada, Avinash Parnandi, Carolee J. Winstein, Aaron Miller, Michael S. Totty, Ross Mead, Elaine Schaertl Short, Christina Chen and Chun‐Hung Liu. Their work appears in journals such as Archives of Physical Medicine and Rehabilitation, Journal of Motor Learning and Development, Journal of Hand Therapy, Topics in Stroke Rehabilitation and Disability and Rehabilitation.

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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