Kevin Nathan

585 citations
10 papers · 399 · h-index 7

Impact in

    • Stroke Rehabilitation and Recovery
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function
    • Functional Brain Connectivity Studies

Papers in

Kevin Nathan

10 papers receiving 397 citations

Peers

Kevin Nathan
Comparison fields: 5 of 43
  • Rehabilitation 107
  • Cognitive Neuroscience 215
  • Biomedical Engineering 233
  • Physical Therapy, Sports Therapy and Rehabilitation 20
  • Human-Computer Interaction 23
Replace David Eguren with:
David Eguren United States
Nikunj Bhagat United States
Giacinto Luigi Cerone Italy
Md. Anamul Islam Malaysia
Fernando Trincado-Alonso Spain
Andrew James Thomas Stevenson Denmark
Fangshi Zhu United States
Guillermo Asín-Prieto Spain
L. Schwirtlich Serbia
Shey-Sheen Chang United States
Kevin Nathan relative to David Eguren United States David Eguren's profile →
Citations per field
00.5×10×15.3×
David Eguren · 1×
Citations per year

Countries citing papers authored by Kevin Nathan

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Nathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2016146
2 2016100
3 201450
4 201834
5 201828
6 201619
7 201710
8 20216
9 20245
10 20171

About Kevin Nathan

Kevin Nathan is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Rehabilitation, having authored 10 papers that have together received 399 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Muscle activation and electromyography studies (4 papers), Neuroscience and Neural Engineering (3 papers), Cognitive Functions and Memory (1 paper), Cerebral Palsy and Movement Disorders (1 paper), Stroke Rehabilitation and Recovery (1 paper), Prosthetics and Rehabilitation Robotics (1 paper) and Functional Brain Connectivity Studies (1 paper). The work is most often cited by research in Rehabilitation (107 citations), Cognitive Neuroscience (215 citations), Biomedical Engineering (233 citations), Physical Therapy, Sports Therapy and Rehabilitation (20 citations) and Human-Computer Interaction (23 citations). Kevin Nathan has collaborated with scholars based in United States, Mexico and Spain. Frequent co-authors include José L. Contreras-Vidal, Yongtian He, Sho Nakagome, José L. Pons, Fangshi Zhu, Jesús G. Cruz-Garza, Justin Brantley, Nikunj Bhagat, Trieu Phat Luu and Gerard E. Francisco. Their work appears in journals such as Frontiers in Human Neuroscience, American Journal of Physical Medicine & Rehabilitation, Scientific Data, Journal of Neural Engineering and IEEE Open Journal of Engineering in Medicine and Biology.

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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