Vikash Gilja

5.2k citations
67 papers · 3.6k · h-index 29

Impact in

Papers in

Vikash Gilja

65 papers receiving 3.5k citations

Peers

Vikash Gilja
Comparison fields: 5 of 105
  • Cognitive Neuroscience 2.6k
  • Cellular and Molecular Neuroscience 2.3k
  • Human-Computer Interaction 136
  • Biomedical Engineering 919
  • Polymers and Plastics 240
Replace Dragan F. Dimitrov with:
Dragan F. Dimitrov United States
Maryam Saleh United States
Cynthia A. Chestek United States
Mijail D. Serruya United States
Paul Nuyujukian United States
Stephen I. Ryu United States
Roy E. Crist United States
Andrew G. Richardson United States
Meel Velliste United States
Joseph E. O’Doherty United States
Vikash Gilja relative to Dragan F. Dimitrov United States Dragan F. Dimitrov's profile →
Citations per field
00.5×3.5×
Dragan F. Dimitrov · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012415
2 2011266
3 2015254
4 2015244
5 2009168
6 2010141
7 2007131
8 2010130
9 2007119
10 2011116
11 2009111
12 2017110
13 2013105
14 201594
15 201790
16 200985
17 201466
18 200960
19 200859
20 201752

About Vikash Gilja

Vikash Gilja is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Polymers and Plastics, having authored 67 papers that have together received 3.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (51 papers), Neuroscience and Neural Engineering (42 papers), Neural dynamics and brain function (20 papers), Advanced Memory and Neural Computing (17 papers), Muscle activation and electromyography studies (10 papers), Conducting polymers and applications (4 papers), Analog and Mixed-Signal Circuit Design (4 papers) and Blind Source Separation Techniques (3 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Cellular and Molecular Neuroscience (2.3k citations), Human-Computer Interaction (136 citations), Biomedical Engineering (919 citations) and Polymers and Plastics (240 citations). Vikash Gilja has collaborated with scholars based in United States, United Kingdom and Kuwait. Frequent 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. Their work appears in journals such as Journal of Neural Engineering, Advanced Functional Materials, PLoS Computational Biology, Journal of Neurophysiology and Advanced Healthcare Materials.

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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