Ryan J. Downey

1.1k citations
40 papers · 801 · h-index 18

Impact in

Papers in

    • Muscle activation and electromyography studies 22
    • Prosthetics and Rehabilitation Robotics 6
    • Advanced Sensor and Energy Harvesting Materials 4
    • EEG and Brain-Computer Interfaces 12

Ryan J. Downey

37 papers receiving 790 citations

Peers

Ryan J. Downey
Comparison fields: 5 of 52
  • Rehabilitation 195
  • Cognitive Neuroscience 267
  • Cellular and Molecular Neuroscience 218
  • Biomedical Engineering 512
  • Neurology 47
Replace Marianna Semprini with:
Marianna Semprini Italy
Paweł Maciejasz France
Atilla Kilicarslan United States
Mark Dohring United States
Steven K. Charles United States
Nebojša Malešević Sweden
Dimitra Blana United Kingdom
Elvira Pirondini Switzerland
N. Hoshimiya Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ryan J. Downey

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Downey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan J. Downey. 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 Ryan J. Downey. The network helps show where Ryan J. Downey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 201462
3 201647
4 201545
5 201543
6 201436
7 202035
8 201533
9 201932
10 201732
11 201632
12 201127
13 201724
14 201824
15 202221
16 202319
17 201419
18 202317
19 201816
20 201516

About Ryan J. Downey

Ryan J. Downey is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Rehabilitation, having authored 40 papers that have together received 801 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (22 papers), Neuroscience and Neural Engineering (13 papers), EEG and Brain-Computer Interfaces (12 papers), Prosthetics and Rehabilitation Robotics (6 papers), Spinal Cord Injury Research (5 papers), Stroke Rehabilitation and Recovery (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Cerebral Palsy and Movement Disorders (4 papers). The work is most often cited by research in Rehabilitation (195 citations), Cognitive Neuroscience (267 citations), Cellular and Molecular Neuroscience (218 citations), Biomedical Engineering (512 citations) and Neurology (47 citations). Ryan J. Downey has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Warren E. Dixon, Matthew J. Bellman, Teng-Hu Cheng, Daniel P. Ferris, Hiroyuki Kawai, Anup Parikh, Chris M. Gregory, Serhat Obuz, Eric J. Gonzalez and Natalie Richer. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Control Systems Technology, Sensors, Experimental Brain Research and Muscle & Nerve.

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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