Arjun K. Bansal

1.0k total citations
8 papers, 386 citations indexed

About

Arjun K. Bansal is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Arjun K. Bansal has authored 8 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Biomedical Engineering. Recurrent topics in Arjun K. Bansal's work include EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (3 papers) and Muscle activation and electromyography studies (2 papers). Arjun K. Bansal is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (3 papers) and Muscle activation and electromyography studies (2 papers). Arjun K. Bansal collaborates with scholars based in United States. Arjun K. Bansal's co-authors include John P. Donoghue, Wilson Truccolo, Carlos E. Vargas-Irwin, Joseph R. Madsen, Marcel Nassar, Luke Hornof, Xin Wang, Oğuz H. Elibol, Scott Gray and Amir Khosrowshahi and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurophysiology and Cerebral Cortex.

In The Last Decade

Arjun K. Bansal

8 papers receiving 375 citations

Peers

Arjun K. Bansal
Comparison fields: 5 of 46
  • Cognitive Neuroscience 286
  • Cellular and Molecular Neuroscience 201
  • Biomedical Engineering 79
  • Electrical and Electronic Engineering 67
  • Computer Vision and Pattern Recognition 66
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Citations per field, relative to Arjun K. Bansal
Arjun K. Bansal · 1×
Citations per year, relative to Arjun K. Bansal
Arjun K. Bansal · 1×

Countries citing papers authored by Arjun K. Bansal

Since Specialization
Citations

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

Fields of papers citing papers by Arjun K. Bansal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun K. Bansal. 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 Arjun K. Bansal. The network helps show where Arjun K. Bansal may publish in the future.

Co-authorship network of co-authors of Arjun K. Bansal

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 4
2 4
3
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
76
4
Discovering Hidden Factors of Variation in Deep Networks
8
5 16
6 8
7 116
8 154

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