Kanika Bansal
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Statistical and Nonlinear Physics top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Joseph D. HartThomas E. MurphyRajarshi RoySarah F. MuldoonJavier O. GarciaJean M. VettelJohn D. MedagliaDanielle S. Bassett
- Topics
- Functional Brain Connectivity Studies (9 papers)Neural dynamics and brain function (8 papers)EEG and Brain-Computer Interfaces (5 papers)
- Cited by
- Cognitive NeuroscienceComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Partner nations
- United StatesIndiaAustralia
In The Last Decade
Kanika Bansal
21 papers receiving 253 citations
Peers
Comparison fields: 5 of 59
- Cognitive Neuroscience 151
- Computer Networks and Communications 116
- Biomedical Engineering 62
- Statistical and Nonlinear Physics 49
- Cellular and Molecular Neuroscience 22
Countries citing papers authored by Kanika Bansal
This map shows the geographic impact of Kanika 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 Kanika Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanika Bansal more than expected).
Fields of papers citing papers by Kanika Bansal
This network shows the impact of papers produced by Kanika 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 Kanika Bansal. The network helps show where Kanika Bansal may publish in the future.
Co-authorship network of co-authors of Kanika Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Kanika Bansal. A scholar is included among the top collaborators of Kanika 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 Kanika Bansal. Kanika Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 27 | |
| 17 | 53 | |
| 18 | 11 | |
| 19 | Experimental observation of chimeras in a minimal globally-coupled network | 2 |
| 20 | 3 |
About Kanika Bansal
Kanika Bansal is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Health Information Management, having authored 24 papers that have together received 264 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (8 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Cognitive Neuroscience (151 citations), Computer Networks and Communications (116 citations) and Statistical and Nonlinear Physics (49 citations). Kanika Bansal has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Joseph D. Hart, Thomas E. Murphy, Rajarshi Roy, Sarah F. Muldoon, Javier O. Garcia, Jean M. Vettel, John D. Medaglia, Danielle S. Bassett, Shouvik Datta and Nuttida Rungratsameetaweemana. Their work appears in journals such as Journal of Applied Physics, NeuroImage and Scientific Reports.
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.