Nikunj Bhagat

633 total citations
17 papers, 402 citations indexed

About

Nikunj Bhagat is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nikunj Bhagat has authored 17 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 9 papers in Biomedical Engineering and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nikunj Bhagat's work include EEG and Brain-Computer Interfaces (11 papers), Muscle activation and electromyography studies (8 papers) and Neuroscience and Neural Engineering (6 papers). Nikunj Bhagat is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Muscle activation and electromyography studies (8 papers) and Neuroscience and Neural Engineering (6 papers). Nikunj Bhagat collaborates with scholars based in United States, India and Spain. Nikunj Bhagat's co-authors include José L. Contreras-Vidal, Marcia K. O’Malley, Nuray Yozbatıran, Gerard E. Francisco, Robert G. Grossman, José L. Pons, Justin Brantley, Jesús G. Cruz-Garza, James A. French and Fangshi Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Neuroscience and Journal of Neural Engineering.

In The Last Decade

Nikunj Bhagat

15 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikunj Bhagat United States 8 259 210 178 114 64 17 402
Ana R. C. Donati Brazil 5 189 0.7× 252 1.2× 128 0.7× 135 1.2× 94 1.5× 7 411
Maria Adelia Aratanha Brazil 5 125 0.5× 238 1.1× 86 0.5× 105 0.9× 66 1.0× 8 369
Kevin Nathan United States 7 253 1.0× 220 1.0× 135 0.8× 75 0.7× 59 0.9× 10 389
Joris M. Lambrecht United States 9 344 1.3× 226 1.1× 84 0.5× 175 1.5× 40 0.6× 16 449
Cheryl L. Lynch Canada 8 323 1.2× 154 0.7× 130 0.7× 137 1.2× 59 0.9× 11 424
Henry Shin United States 13 362 1.4× 178 0.8× 124 0.7× 117 1.0× 24 0.4× 33 490
Rune Thorsen Italy 13 382 1.5× 213 1.0× 171 1.0× 128 1.1× 66 1.0× 22 543
Giovanni Cannaviello Italy 7 253 1.0× 87 0.4× 247 1.4× 49 0.4× 39 0.6× 10 420
Fernando Trincado-Alonso Spain 9 170 0.7× 169 0.8× 244 1.4× 84 0.7× 103 1.6× 12 437

Countries citing papers authored by Nikunj Bhagat

Since Specialization
Citations

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

Fields of papers citing papers by Nikunj Bhagat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikunj Bhagat

This figure shows the co-authorship network connecting the top 25 collaborators of Nikunj Bhagat. A scholar is included among the top collaborators of Nikunj Bhagat 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 Nikunj Bhagat. Nikunj Bhagat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
2.
Bhagat, Nikunj, et al.. (2023). Case study: persistent recovery of hand movement and tactile sensation in peripheral nerve injury using targeted transcutaneous spinal cord stimulation. Frontiers in Neuroscience. 17. 1210544–1210544. 1 indexed citations
3.
Bhagat, Nikunj, et al.. (2023). Targeted transcutaneous cervical spinal cord stimulation promotes lasting upper limb recovery in spinal cord and peripheral nerve injury. Brain stimulation. 16(1). 373–373. 1 indexed citations
5.
Bickel, Stephan, Jose L. Herrero, Nikunj Bhagat, et al.. (2021). Evoking highly focal percepts in the fingertips through targeted stimulation of sulcal regions of the brain for sensory restoration. Brain stimulation. 14(5). 1184–1196. 17 indexed citations
6.
Bouton, Chad, Nikunj Bhagat, Jose L. Herrero, et al.. (2021). Decoding Neural Activity in Sulcal and White Matter Areas of the Brain to Accurately Predict Individual Finger Movement and Tactile Stimuli of the Human Hand. Frontiers in Neuroscience. 15. 699631–699631. 6 indexed citations
7.
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
8.
Ahmed, Umair, Maria Lopez, Yao-Chuan Chang, et al.. (2020). Abstracts from the Fourth Bioelectronic Medicine Summit: Technology Targeting Molecular Mechanisms. SHILAP Revista de lepidopterología. 6(S1). 25–25.
9.
Bhagat, Nikunj, et al.. (2020). Determining grasp selection from arm trajectories via deep learning to enable functional hand movement in tetraplegia. SHILAP Revista de lepidopterología. 6(1). 17–17. 4 indexed citations
10.
Bhagat, Nikunj, Nuray Yozbatıran, Zafer Keser, et al.. (2020). Neural activity modulations and motor recovery following brain-exoskeleton interface mediated stroke rehabilitation. NeuroImage Clinical. 28. 102502–102502. 38 indexed citations
11.
Mirian, Ariana, Nikunj Bhagat, Caitlin Sadowski, et al.. (2019). Web Feature Deprecation: A Case Study for Chrome. 302–311. 7 indexed citations
12.
Bhagat, Nikunj, Nuray Yozbatıran, Robert G. Grossman, et al.. (2017). Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial. PubMed. 2017. 122–127. 15 indexed citations
13.
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
14.
Bhagat, Nikunj, Anusha Venkatakrishnan, Berdakh Abibullaev, et al.. (2016). Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors. Frontiers in Neuroscience. 10. 122–122. 127 indexed citations
15.
Bhagat, Nikunj, James A. French, Anusha Venkatakrishnan, et al.. (2014). Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke. PubMed. 2014. 4127–4130. 19 indexed citations
16.
Liew, Sook‐Lei, et al.. (2013). A clinical roadmap for brain-neural machine interfaces: trainees' perspectives on the 2013 international workshop. IEEE Pulse. 4(5). 44–48. 3 indexed citations
17.
Bhagat, Nikunj. (2011). Sensing and Cancellation of Tremors in Surgeon's Hands during Microsurgery. 3 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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