Kevin Nathan

564 total citations
10 papers, 389 citations indexed

About

Kevin Nathan is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kevin Nathan has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 6 papers in Biomedical Engineering and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kevin Nathan's work include EEG and Brain-Computer Interfaces (8 papers), Muscle activation and electromyography studies (6 papers) and Neuroscience and Neural Engineering (4 papers). Kevin Nathan is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Muscle activation and electromyography studies (6 papers) and Neuroscience and Neural Engineering (4 papers). Kevin Nathan collaborates with scholars based in United States, Spain and Netherlands. Kevin Nathan's co-authors include José L. Contreras-Vidal, Yongtian He, Sho Nakagome, Fangshi Zhu, José L. Pons, Jesús G. Cruz-Garza, Justin Brantley, Nikunj Bhagat, Trieu Phat Luu and Anusha Venkatakrishnan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Human Neuroscience and Scientific Data.

In The Last Decade

Kevin Nathan

10 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kevin Nathan United States 7 253 220 135 75 59 10 389
David Eguren United States 6 202 0.8× 139 0.6× 120 0.9× 77 1.0× 51 0.9× 10 331
Nikunj Bhagat United States 8 259 1.0× 210 1.0× 178 1.3× 114 1.5× 64 1.1× 17 402
Fangshi Zhu United States 10 470 1.9× 183 0.8× 303 2.2× 59 0.8× 103 1.7× 18 602
Babak Afsharipour United States 11 247 1.0× 137 0.6× 42 0.3× 98 1.3× 28 0.5× 25 344
Guillermo Asín-Prieto Spain 7 211 0.8× 149 0.7× 117 0.9× 76 1.0× 11 0.2× 20 306
Fernando Trincado-Alonso Spain 9 170 0.7× 169 0.8× 244 1.8× 84 1.1× 103 1.7× 12 437
R. Davoodi United States 9 323 1.3× 160 0.7× 118 0.9× 95 1.3× 99 1.7× 18 395
Shey-Sheen Chang United States 6 438 1.7× 282 1.3× 49 0.4× 122 1.6× 10 0.2× 7 512
Maria Adelia Aratanha Brazil 5 125 0.5× 238 1.1× 86 0.6× 105 1.4× 66 1.1× 8 369
Farnaz Abdollahi United States 10 224 0.9× 261 1.2× 164 1.2× 31 0.4× 21 0.4× 17 442

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-authorship network of co-authors of Kevin Nathan

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Nathan. A scholar is included among the top collaborators of Kevin Nathan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Nathan. Kevin Nathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Luo, Shiyu, Miguel Angrick, Qinwan Rabbani, et al.. (2024). A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling. SHILAP Revista de lepidopterología. 4(1). 207–207. 4 indexed citations
2.
Paek, Andrew, Justin Brantley, Kevin Nathan, et al.. (2021). A Roadmap Towards Standards for Neurally Controlled End Effectors. IEEE Open Journal of Engineering in Medicine and Biology. 2. 84–90. 6 indexed citations
3.
Contreras-Vidal, José L., Magdo Bôrtole, Fangshi Zhu, et al.. (2018). Neural Decoding of Robot-Assisted Gait During Rehabilitation After Stroke. American Journal of Physical Medicine & Rehabilitation. 97(8). 541–550. 27 indexed citations
4.
He, Yongtian, Trieu Phat Luu, Kevin Nathan, Sho Nakagome, & José L. Contreras-Vidal. (2018). A mobile brain-body imaging dataset recorded during treadmill walking with a brain-computer interface. Scientific Data. 5(1). 180074–180074. 31 indexed citations
5.
Luu, Trieu Phat, Yongtian He, Sho Nakagome, et al.. (2017). Multi-Trial Gait Adaptation of Healthy Individuals during Visual Kinematic Perturbations. Frontiers in Human Neuroscience. 11. 320–320. 10 indexed citations
6.
Contreras-Vidal, José L., Magdo Bôrtole, Fangshi Zhu, et al.. (2017). Neural decoding of robot-assisted gait during rehabilitation after stroke. 1–2. 1 indexed citations
7.
Contreras-Vidal, José L., Nikunj Bhagat, Justin Brantley, et al.. (2016). Powered exoskeletons for bipedal locomotion after spinal cord injury. Journal of Neural Engineering. 13(3). 31001–31001. 142 indexed citations
8.
Nathan, Kevin & José L. Contreras-Vidal. (2016). Negligible Motion Artifacts in Scalp Electroencephalography (EEG) During Treadmill Walking. Frontiers in Human Neuroscience. 9. 708–708. 99 indexed citations
9.
Luu, Trieu Phat, et al.. (2016). Unscented Kalman filter for neural decoding of human treadmill walking from non-invasive electroencephalography. PubMed. 2016. 1548–1551. 19 indexed citations
10.
He, Yongtian, Kevin Nathan, Anusha Venkatakrishnan, et al.. (2014). An integrated neuro-robotic interface for stroke rehabilitation using the NASA X1 powered lower limb exoskeleton. PubMed. 2014. 3985–3988. 50 indexed citations

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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2026