Vikash Gilja

5.1k total citations
67 papers, 3.4k citations indexed

About

Vikash Gilja is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Vikash Gilja has authored 67 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 47 papers in Cellular and Molecular Neuroscience and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Vikash Gilja's work include EEG and Brain-Computer Interfaces (51 papers), Neuroscience and Neural Engineering (47 papers) and Neural dynamics and brain function (25 papers). Vikash Gilja is often cited by papers focused on EEG and Brain-Computer Interfaces (51 papers), Neuroscience and Neural Engineering (47 papers) and Neural dynamics and brain function (25 papers). Vikash Gilja collaborates with scholars based in United States, United Kingdom and Kuwait. Vikash Gilja's co-authors include Krishna V. Shenoy, Paul Nuyujukian, Stephen I. Ryu, Cindy A Chestek, John P. Cunningham, Cynthia A. Chestek, Jaimie M. Henderson, Byron M. Yu, Mark M. Churchland and Christine H Blabe and has published in prestigious journals such as Nature Medicine, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Vikash Gilja

65 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikash Gilja United States 29 2.6k 2.4k 1.0k 970 233 67 3.4k
Mijail D. Serruya United States 20 3.4k 1.3× 3.1k 1.2× 931 0.9× 1.2k 1.2× 138 0.6× 44 4.4k
Cynthia A. Chestek United States 31 2.1k 0.8× 2.4k 1.0× 906 0.9× 1.1k 1.1× 205 0.9× 115 3.2k
Almut Branner United States 9 2.4k 0.9× 2.5k 1.0× 717 0.7× 1.1k 1.2× 208 0.9× 12 3.2k
Maryam Saleh United States 7 2.3k 0.9× 1.9k 0.8× 623 0.6× 733 0.8× 93 0.4× 9 2.7k
Dragan F. Dimitrov United States 8 2.3k 0.9× 1.9k 0.8× 559 0.5× 630 0.6× 82 0.4× 10 2.7k
Justin C. Sanchez United States 29 1.8k 0.7× 1.8k 0.7× 631 0.6× 574 0.6× 190 0.8× 121 2.9k
John D. Simeral United States 26 4.1k 1.6× 3.5k 1.5× 1.1k 1.1× 1.4k 1.4× 103 0.4× 43 4.9k
Stephen I. Ryu United States 34 3.4k 1.3× 2.3k 1.0× 866 0.8× 832 0.9× 39 0.2× 72 3.8k
Meel Velliste United States 17 2.5k 1.0× 2.1k 0.8× 585 0.6× 828 0.9× 48 0.2× 24 3.4k
Andrew G. Richardson United States 24 1.3k 0.5× 1.7k 0.7× 804 0.8× 1.2k 1.2× 264 1.1× 87 3.1k

Countries citing papers authored by Vikash Gilja

Since Specialization
Citations

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

Fields of papers citing papers by Vikash Gilja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikash Gilja

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

All Works

20 of 20 papers shown
1.
Gentner, Timothy Q., et al.. (2024). Guiding Brain-to-Vocalization Decoder Design Using Structured Generalization Error. PubMed. 2024. 1–4.
2.
Ramezani, Mehrdad, Xin Liu, Chi Ren, et al.. (2024). High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings. Nature Nanotechnology. 19(4). 504–513. 37 indexed citations
3.
Jiang, Xi, Isaac Shamie, Lucía Melloni, et al.. (2022). Spatiotemporal dynamics of human high gamma discriminate naturalistic behavioral states. PLoS Computational Biology. 18(8). e1010401–e1010401. 3 indexed citations
4.
Chen, Shukai, et al.. (2021). Neurally driven synthesis of learned, complex vocalizations. Current Biology. 31(15). 3419–3425.e5. 3 indexed citations
5.
Thunemann, Martin, et al.. (2020). Impact of Brain Surface Boundary Conditions on Electrophysiology and Implications for Electrocorticography. Frontiers in Neuroscience. 14. 763–763. 3 indexed citations
6.
Kaestner, Erik, Kıvılcım Kılıç, Lorraine Hossain, et al.. (2019). Correlation Structure in Micro-ECoG Recordings is Described by Spatially Coherent Components. PLoS Computational Biology. 15(2). e1006769–e1006769. 28 indexed citations
7.
Lucas, Alfredo, et al.. (2019). Use of Accelerometry for Long Term Monitoring of Stroke Patients. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–10. 20 indexed citations
8.
Doyle, Werner, Orrin Devinsky, Daniel Friedman, et al.. (2019). Neural correlates of unstructured motor behaviors. Journal of Neural Engineering. 16(6). 66026–66026. 8 indexed citations
9.
Chen, Kenny, Werner Doyle, Orrin Devinsky, et al.. (2018). Patient-Specific Pose Estimation in Clinical Environments. IEEE Journal of Translational Engineering in Health and Medicine. 6. 1–11. 47 indexed citations
10.
Jiang, Xi, Isaac Shamie, Lucía Melloni, et al.. (2018). Coarse behavioral context decoding. Journal of Neural Engineering. 16(1). 16021–16021. 7 indexed citations
11.
Kaestner, Erik, Daniel R. Cleary, Bob S. Carter, et al.. (2018). Sub-millimeter ECoG pitch in human enables higher fidelity cognitive neural state estimation. NeuroImage. 176. 454–464. 24 indexed citations
12.
Wang, Kai-Ping, et al.. (2017). Stretchable Dry Electrodes with Concentric Ring Geometry for Enhancing Spatial Resolution in Electrophysiology. Advanced Healthcare Materials. 6(19). 51 indexed citations
13.
LaBuzetta, Jamie Nicole, et al.. (2016). Using Accelerometers in the Neurological ICU to Monitor Unilaterally Motor Impaired Patients (P3.204). Neurology. 86(16_supplement). 5 indexed citations
14.
Blabe, Christine H, Vikash Gilja, Cindy A Chestek, et al.. (2015). Assessment of brain–machine interfaces from the perspective of people with paralysis. Journal of Neural Engineering. 12(4). 43002–43002. 83 indexed citations
15.
Pandarinath, Chethan, Vikash Gilja, Christine H Blabe, et al.. (2015). Neural population dynamics in human motor cortex during movements in people with ALS. eLife. 4. e07436–e07436. 46 indexed citations
16.
Christie, Breanne, Zachary T. Irwin, Vikash Gilja, et al.. (2014). Comparison of spike sorting and thresholding of voltage waveforms for intracortical brain–machine interface performance. Journal of Neural Engineering. 12(1). 16009–16009. 63 indexed citations
17.
Gilja, Vikash, et al.. (2011). Spiking neural network decoder for brain-machine interfaces. PubMed. 396–399. 14 indexed citations
18.
Santhanam, Gopal, Michael D. Linderman, Vikash Gilja, et al.. (2007). HermesB: A Continuous Neural Recording System for Freely Behaving Primates. IEEE Transactions on Biomedical Engineering. 54(11). 2037–2050. 115 indexed citations
19.
Chestek, Cynthia A., Aaron P. Batista, Gopal Santhanam, et al.. (2007). Single-Neuron Stability during Repeated Reaching in Macaque Premotor Cortex. Journal of Neuroscience. 27(40). 10742–10750. 124 indexed citations
20.
Gilja, Vikash, Michael D. Linderman, Gopal Santhanam, et al.. (2006). Multiday Electrophysiological Recordings from Freely Behaving Primates. PubMed. 79. 5643–5646. 8 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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