Sujith Vijayan

2.5k total citations · 1 hit paper
24 papers, 1.6k citations indexed

About

Sujith Vijayan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Sujith Vijayan has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 11 papers in Cellular and Molecular Neuroscience and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Sujith Vijayan's work include Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (8 papers) and Sleep and Wakefulness Research (5 papers). Sujith Vijayan is often cited by papers focused on Neural dynamics and brain function (12 papers), Neuroscience and Neuropharmacology Research (8 papers) and Sleep and Wakefulness Research (5 papers). Sujith Vijayan collaborates with scholars based in United States, India and Japan. Sujith Vijayan's co-authors include G. Marcus, Peter M. Vishton, Nancy Kopell, Emery N. Brown, ShiNung Ching, Patrick L. Purdon, Patrick L. Purdon, Caroline West, Anders M. Dale and David Caplan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Sujith Vijayan

22 papers receiving 1.5k citations

Hit Papers

Rule Learning by Seven-Month-Old Infants 1999 2026 2008 2017 1999 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rule Learning by Seven-Month-Old Infants
    1999 755 citations G. Marcus, Sujith Vijayan et al. Science profile →

Peers

Sujith Vijayan
Kai Alter Germany
Burton S. Rosner United States
Marcela Peña Chile
Christopher K. Kovach United States
Bettina Mohr Germany
Mitchell Steinschneider United States
Ruth de Diego‐Balaguer Spain
Béchir Jarraya France
Trent Lewis Australia
John R. Knott United States
Kai Alter Germany
Sujith Vijayan
Citations per year, relative to Sujith Vijayan Sujith Vijayan (= 1×) peers Kai Alter

Countries citing papers authored by Sujith Vijayan

Since Specialization
Citations

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

Fields of papers citing papers by Sujith Vijayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sujith Vijayan. 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 Sujith Vijayan. The network helps show where Sujith Vijayan may publish in the future.

Co-authorship network of co-authors of Sujith Vijayan

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

All Works

20 of 20 papers shown
1.
Vijayan, Sujith & Chiranji Lal Chowdhary. (2025). Hybrid feature optimized CNN for rice crop disease prediction. Scientific Reports. 15(1). 7904–7904. 5 indexed citations
2.
Ghosh, Sayan, et al.. (2025). Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network. Frontiers in Neuroinformatics. 19. 1513374–1513374.
3.
Lepage, Kyle Q., et al.. (2023). Unsupervised Multitaper Spectral Method for Identifying REM Sleep in Intracranial EEG Recordings Lacking EOG/EMG Data. Bioengineering. 10(9). 1009–1009. 2 indexed citations
4.
Rho, Young-Ah, Jason Sherfey, & Sujith Vijayan. (2022). Emotional Memory Processing during REM Sleep with Implications for Post-Traumatic Stress Disorder. Journal of Neuroscience. 43(3). 433–446. 9 indexed citations
5.
Lepage, Kyle Q., Cavan N. Fleming, Mark R. Witcher, & Sujith Vijayan. (2021). Multitaper estimates of phase-amplitude coupling. Journal of Neural Engineering. 18(5). 56028–56028. 3 indexed citations
6.
Jiang, Shan, Dipan C. Patel, Jongwoon Kim, et al.. (2020). Spatially expandable fiber-based probes as a multifunctional deep brain interface. Nature Communications. 11(1). 6115–6115. 71 indexed citations
7.
Arora, Anish, Sujith Vijayan, Robert E. Settlage, et al.. (2020). Haploinsufficiency of X-linked intellectual disability gene CASK induces post-transcriptional changes in synaptic and cellular metabolic pathways. Experimental Neurology. 329. 113319–113319. 14 indexed citations
8.
Lee, Jung H., Mean-Hwan Kim, & Sujith Vijayan. (2020). Temporal learning of bottom-up connections via spatially nonspecific top-down inputs. Neurocomputing. 411. 128–138. 1 indexed citations
9.
10.
Witcher, Mark R., et al.. (2019). A comparative study of motor imagery based BCI classifiers on EEG and iEEG data. 1–5. 2 indexed citations
11.
Pittman-Polletta, Benjamin, Bernát Kocsis, Sujith Vijayan, Miles A. Whittington, & Nancy Kopell. (2015). Brain Rhythms Connect Impaired Inhibition to Altered Cognition in Schizophrenia. Biological Psychiatry. 77(12). 1020–1030. 54 indexed citations
12.
Vijayan, Sujith, ShiNung Ching, Patrick L. Purdon, Emery N. Brown, & Nancy Kopell. (2013). Thalamocortical Mechanisms for the Anteriorization of Alpha Rhythms during Propofol-Induced Unconsciousness. Journal of Neuroscience. 33(27). 11070–11075. 131 indexed citations
13.
Vijayan, Sujith, ShiNung Ching, Patrick L. Purdon, Emery N. Brown, & Nancy Kopell. (2013). Biophysical modeling of alpha rhythms during halothane-induced unconsciousness. PubMed. 76. 1104–1107. 2 indexed citations
14.
Ching, ShiNung, Patrick L. Purdon, Sujith Vijayan, Nancy Kopell, & Emery N. Brown. (2012). A neurophysiological–metabolic model for burst suppression. Proceedings of the National Academy of Sciences. 109(8). 3095–3100. 207 indexed citations
15.
Vijayan, Sujith & Nancy Kopell. (2012). Thalamic model of awake alpha oscillations and implications for stimulus processing. Proceedings of the National Academy of Sciences. 109(45). 18553–18558. 117 indexed citations
16.
Chen, Zhe, Sujith Vijayan, ShiNung Ching, et al.. (2011). Assessing neuronal interactions of cell assemblies during general anesthesia. PubMed. 363. 4175–4178. 4 indexed citations
17.
Vijayan, Sujith, et al.. (2010). Activity in the Barrel Cortex During Active Behavior and Sleep. Journal of Neurophysiology. 103(4). 2074–2084. 28 indexed citations
18.
Chen, Zhe, Sujith Vijayan, Riccardo Barbieri, Matthew Wilson, & Emery N. Brown. (2009). Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States. Neural Computation. 21(7). 1797–1862. 1 indexed citations
19.
Caplan, David, Sujith Vijayan, Gina R. Kuperberg, et al.. (2001). Vascular responses to syntactic processing: Event‐related fMRI study of relative clauses. Human Brain Mapping. 15(1). 26–38. 125 indexed citations
20.
Marcus, G., et al.. (1999). Rule Learning by Seven-Month-Old Infants. Science. 283(5398). 77–80. 755 indexed citations breakdown →

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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