N.S. Stoykov

20 papers receiving 657 citations

Peers

N.S. Stoykov
Comparison fields: 5 of 80
  • Rehabilitation 96
  • Cognitive Neuroscience 205
  • Biomedical Engineering 448
  • Cellular and Molecular Neuroscience 179
  • Human-Computer Interaction 47
Replace Jer-Junn Luh with:
Jer-Junn Luh Taiwan
Dimitra Blana United Kingdom
Evelyn Morin Canada
Shey-Sheen Chang United States
D. Farina Denmark
Nur Azah Hamzaid Malaysia
Didier Staudenmann Netherlands
Henry Shin United States
Steven W. Brose United States
N.S. Stoykov relative to Jer-Junn Luh Taiwan Jer-Junn Luh's profile →
Citations per field
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Citations per year

Countries citing papers authored by N.S. Stoykov

Since Specialization
Citations

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

Fields of papers citing papers by N.S. Stoykov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.S. Stoykov. 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 N.S. Stoykov. The network helps show where N.S. Stoykov may publish in the future.

Co-authors

The 15 scholars most cited alongside N.S. Stoykov, 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 N.S. Stoykov Line = papers co-authored together N.S. Stoykov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2003152
2 2002120
3 200385
4 200456
5 201854
6 200347
7 201541
8 200226
9 200325
10 200123
11 200417
12 200516
13 201310
14 20057
15 20046
16 20093
17 20112
18 20132
19 20052
20 20041

About N.S. Stoykov

N.S. Stoykov is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Rehabilitation, Neurology and Electrical and Electronic Engineering, having authored 20 papers that have together received 695 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (12 papers), Advanced Sensor and Energy Harvesting Materials (10 papers), Neuroscience and Neural Engineering (7 papers), Stroke Rehabilitation and Recovery (6 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Virtual Reality Applications and Impacts (3 papers), Wireless Body Area Networks (3 papers) and Wireless Power Transfer Systems (2 papers). The work is most often cited by research in Rehabilitation (96 citations), Cognitive Neuroscience (205 citations), Biomedical Engineering (448 citations), Cellular and Molecular Neuroscience (179 citations) and Human-Computer Interaction (47 citations). N.S. Stoykov has collaborated with scholars based in United States, Philippines and Canada. Frequent co-authors include Madeleine M. Lowery, Todd Kuiken, Allen Taflove, Derek G. Kamper, Kristen M. Triandafilou, Julius P. A. Dewald, Alexander J. Barry, Kelly O. Thielbar, Fabian Preuss and Yu Li. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of NeuroEngineering and Rehabilitation, Prosthetics and Orthotics International, Annals of Biomedical Engineering and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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