Vikranth R. Bejjanki
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 10%
- Developmental and Educational Psychology top 10%
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Co-authors
- Alexandre PougetZhong‐Lin LuJeffrey M. BeckNicholas B. Turk‐BrowneCameron T. EllisLena J. SkalabanTristan S. YatesDaphné Bavelier
- Topics
- Neural dynamics and brain function (8 papers)Visual perception and processing mechanisms (4 papers)Functional Brain Connectivity Studies (4 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Vikranth R. Bejjanki
16 papers receiving 507 citations
Peers
Comparison fields: 5 of 81
- Cognitive Neuroscience 378
- Experimental and Cognitive Psychology 146
- Developmental and Educational Psychology 85
- Artificial Intelligence 52
- Cellular and Molecular Neuroscience 48
Countries citing papers authored by Vikranth R. Bejjanki
This map shows the geographic impact of Vikranth R. Bejjanki'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 Vikranth R. Bejjanki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikranth R. Bejjanki more than expected).
Fields of papers citing papers by Vikranth R. Bejjanki
This network shows the impact of papers produced by Vikranth R. Bejjanki. 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 Vikranth R. Bejjanki. The network helps show where Vikranth R. Bejjanki may publish in the future.
Co-authorship network of co-authors of Vikranth R. Bejjanki
This figure shows the co-authorship network connecting the top 25 collaborators of Vikranth R. Bejjanki. A scholar is included among the top collaborators of Vikranth R. Bejjanki 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 Vikranth R. Bejjanki. Vikranth R. Bejjanki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 52 | |
| 6 | 39 | |
| 7 | 51 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 20 | |
| 12 | 133 | |
| 13 | 3 | |
| 14 | 99 | |
| 15 | 44 | |
| 16 | 41 |
About Vikranth R. Bejjanki
Vikranth R. Bejjanki is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Statistical and Nonlinear Physics, having authored 16 papers that have together received 516 indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (378 citations), Experimental and Cognitive Psychology (146 citations) and Developmental and Educational Psychology (85 citations). Vikranth R. Bejjanki has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Alexandre Pouget, Zhong‐Lin Lu, Jeffrey M. Beck, Nicholas B. Turk‐Browne, Cameron T. Ellis, Lena J. Skalaban, Tristan S. Yates, Daphné Bavelier, C. Shawn Green and Richard Ν. Aslin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.