Vikranth R. Bejjanki

888 total citations
16 papers, 516 citations indexed

About

Vikranth R. Bejjanki is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Vikranth R. Bejjanki has authored 16 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Experimental and Cognitive Psychology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Vikranth R. Bejjanki's work include Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (4 papers) and Functional Brain Connectivity Studies (4 papers). Vikranth R. Bejjanki is often cited by papers focused on Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (4 papers) and Functional Brain Connectivity Studies (4 papers). Vikranth R. Bejjanki collaborates with scholars based in United States, United Kingdom and Switzerland. Vikranth R. Bejjanki's co-authors include Alexandre Pouget, Zhong‐Lin Lu, Jeffrey M. Beck, Nicholas B. Turk‐Browne, Tristan S. Yates, Lena J. Skalaban, Cameron T. Ellis, Daphné Bavelier, C. Shawn Green and Richard Ν. Aslin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Vikranth R. Bejjanki

16 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikranth R. Bejjanki United States 9 378 146 85 52 48 16 516
Nicole M. Gage United States 12 552 1.5× 111 0.8× 132 1.6× 39 0.8× 21 0.4× 15 682
Matthias Ekman Netherlands 14 641 1.7× 168 1.2× 46 0.5× 33 0.6× 65 1.4× 19 784
Myrthe Faber Netherlands 12 436 1.2× 149 1.0× 118 1.4× 28 0.5× 33 0.7× 32 583
Yatin Mahajan Australia 13 478 1.3× 157 1.1× 74 0.9× 18 0.3× 35 0.7× 20 613
Diankun Gong China 17 583 1.5× 202 1.4× 132 1.6× 51 1.0× 47 1.0× 39 778
Mai Nguyen United States 9 645 1.7× 161 1.1× 57 0.7× 31 0.6× 35 0.7× 14 819
Lars Gutschalk Hausfeld Netherlands 14 563 1.5× 183 1.3× 60 0.7× 33 0.6× 15 0.3× 23 649
Daryl E. Wilson Canada 14 600 1.6× 167 1.1× 81 1.0× 30 0.6× 7 0.1× 24 687
Sébastien Marti France 14 832 2.2× 115 0.8× 68 0.8× 42 0.8× 43 0.9× 18 948
Jona Sassenhagen Germany 13 703 1.9× 209 1.4× 245 2.9× 60 1.2× 29 0.6× 19 817

Countries citing papers authored by Vikranth R. Bejjanki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
1.
Burr, Sabrina Di Lonardo, et al.. (2024). Longitudinal assessments of functional near-infrared spectroscopy background functional connectivity in low- and middle-income infants during a social cognition task.. Journal of Experimental Psychology General. 153(3). 798–813. 3 indexed citations
2.
Sims, Chris R., et al.. (2023). Multiple timescales of learning indicated by changes in evidence-accumulation processes during perceptual decision-making. npj Science of Learning. 8(1). 5 indexed citations
3.
Pirazzoli, Laura, Eileen Sullivan, Katherine L. Perdue, et al.. (2023). Scalp-based parcellation for longitudinal fNIRS studies. 19–19. 1 indexed citations
4.
Jaffe‐Dax, Sagi, et al.. (2022). Temporal Predictability Modulates Cortical Activity and Functional Connectivity in the Frontoparietal Network in 6-Month-Old Infants. Journal of Cognitive Neuroscience. 34(5). 766–775. 3 indexed citations
5.
Ellis, Cameron T., Lena J. Skalaban, Tristan S. Yates, et al.. (2021). Evidence of hippocampal learning in human infants. Current Biology. 31(15). 3358–3364.e4. 52 indexed citations
6.
Ellis, Cameron T., Tristan S. Yates, Lena J. Skalaban, et al.. (2021). Retinotopic organization of visual cortex in human infants. Neuron. 109(16). 2616–2626.e6. 39 indexed citations
7.
Ellis, Cameron T., Lena J. Skalaban, Tristan S. Yates, et al.. (2020). Re-imagining fMRI for awake behaving infants. Nature Communications. 11(1). 4523–4523. 51 indexed citations
8.
Bejjanki, Vikranth R., et al.. (2019). Young children combine sensory cues with learned information in a statistically efficient manner: But task complexity matters. Developmental Science. 23(3). e12912–e12912. 3 indexed citations
9.
Bejjanki, Vikranth R., et al.. (2017). Sensory cue-combination in the context of newly learned categories. Scientific Reports. 7(1). 10890–10890. 5 indexed citations
10.
Bejjanki, Vikranth R., Rava Azeredo da Silveira, Jonathan D. Cohen, & Nicholas B. Turk‐Browne. (2017). Noise correlations in the human brain and their impact on pattern classification. PLoS Computational Biology. 13(8). e1005674–e1005674. 14 indexed citations
11.
Bejjanki, Vikranth R., David C. Knill, & Richard Ν. Aslin. (2016). Learning and inference using complex generative models in a spatial localization task. Journal of Vision. 16(5). 9–9. 20 indexed citations
12.
Bejjanki, Vikranth R., Ru‐Yuan Zhang, Renjie Li, et al.. (2014). Action video game play facilitates the development of better perceptual templates. Proceedings of the National Academy of Sciences. 111(47). 16961–16966. 133 indexed citations
13.
Bejjanki, Vikranth R., et al.. (2012). Evidence for action video game induced 'learning to learn' in a perceptual decision-making task. Journal of Vision. 12(9). 287–287. 3 indexed citations
14.
Bejjanki, Vikranth R., Jeffrey M. Beck, Zhong‐Lin Lu, & Alexandre Pouget. (2011). Perceptual learning as improved probabilistic inference in early sensory areas. Nature Neuroscience. 14(5). 642–648. 99 indexed citations
15.
Bejjanki, Vikranth R., Meghan Clayards, David C. Knill, & Richard Ν. Aslin. (2011). Cue Integration in Categorical Tasks: Insights from Audio-Visual Speech Perception. PLoS ONE. 6(5). e19812–e19812. 44 indexed citations
16.
Beck, Jeffrey M., Vikranth R. Bejjanki, & Alexandre Pouget. (2011). Insights from a Simple Expression for Linear Fisher Information in a Recurrently Connected Population of Spiking Neurons. Neural Computation. 23(6). 1484–1502. 41 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nicole M. Gage Breakdown of academic impact, for papers by Matthias Ekman Breakdown of academic impact, for papers by Myrthe Faber Breakdown of academic impact, for papers by Yatin Mahajan Breakdown of academic impact, for papers by Diankun Gong Breakdown of academic impact, for papers by Mai Nguyen Breakdown of academic impact, for papers by Lars Gutschalk Hausfeld Breakdown of academic impact, for papers by Daryl E. Wilson Breakdown of academic impact, for papers by Sébastien Marti Breakdown of academic impact, for papers by Jona Sassenhagen
Rankless by CCL
2026