Supratim Ray

4.7k total citations · 1 hit paper
49 papers, 3.0k citations indexed

About

Supratim Ray is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Supratim Ray has authored 49 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 25 papers in Cellular and Molecular Neuroscience and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Supratim Ray's work include Neural dynamics and brain function (43 papers), EEG and Brain-Computer Interfaces (24 papers) and Neuroscience and Neural Engineering (19 papers). Supratim Ray is often cited by papers focused on Neural dynamics and brain function (43 papers), EEG and Brain-Computer Interfaces (24 papers) and Neuroscience and Neural Engineering (19 papers). Supratim Ray collaborates with scholars based in India and United States. Supratim Ray's co-authors include John H. R. Maunsell, Steven S. Hsiao, Nathan E. Crone, Ernst Niebur, Piotr J. Franaszczuk, Amy M. Ni, Alon Sinai, Michael A. Muniak, J. F. DAMMANN and Sliman J. Bensmaı̈a and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Supratim Ray

47 papers receiving 2.9k citations

Hit Papers

Different Origins of Gamma Rhythm and High-Gamma Activity... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supratim Ray India 20 2.7k 1.3k 177 152 141 49 3.0k
Conrado A. Bosman Netherlands 26 2.9k 1.1× 1.3k 1.0× 232 1.3× 149 1.0× 195 1.4× 51 3.4k
Alexa Riehle France 31 2.8k 1.0× 885 0.7× 203 1.1× 180 1.2× 148 1.0× 68 3.2k
Andreas K. Kreiter Germany 22 2.6k 0.9× 1.3k 1.0× 236 1.3× 226 1.5× 121 0.9× 61 3.0k
Matthias H. Munk Germany 21 2.3k 0.8× 849 0.7× 98 0.6× 124 0.8× 175 1.2× 39 2.6k
R. Christopher deCharms United States 16 2.4k 0.9× 551 0.4× 159 0.9× 122 0.8× 256 1.8× 19 2.9k
Ryan T. Canolty United States 14 4.3k 1.6× 1.5k 1.1× 111 0.6× 129 0.8× 280 2.0× 15 4.6k
Ehsan Arabzadeh Australia 26 1.9k 0.7× 1.1k 0.8× 145 0.8× 150 1.0× 133 0.9× 65 2.2k
Piotr J. Franaszczuk United States 27 2.5k 0.9× 767 0.6× 131 0.7× 144 0.9× 166 1.2× 82 2.9k
André M. Bastos United States 19 5.0k 1.8× 1.4k 1.1× 239 1.4× 168 1.1× 432 3.1× 32 5.6k
Antonio Zainos Mexico 25 2.7k 1.0× 823 0.6× 119 0.7× 90 0.6× 310 2.2× 45 2.9k

Countries citing papers authored by Supratim Ray

Since Specialization
Citations

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

Fields of papers citing papers by Supratim Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supratim Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Supratim Ray. A scholar is included among the top collaborators of Supratim Ray 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 Supratim Ray. Supratim Ray 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.
Ray, Supratim, et al.. (2025). Stimulus‐Induced Gamma Sources Reduce in Power but Not in Spatial Extent With Healthy Aging in Human EEG. European Journal of Neuroscience. 61(10). e70138–e70138.
2.
Dutta, Sulagna, Pallav Sengupta, Nithar Ranjan Madhu, et al.. (2024). ELUCIDATION OF ANTI-INFLAMMATORY ACTIVITY OF A NEW CYCLIC ALKALOID COMPOUND FROM ROOT BARK OF ZIZIPHUS NUMMULARIA (AUBREV.): IN VITRO, IN SILICO AND IN VIVO STUDIES. Journal of Microbiology Biotechnology and Food Sciences. 13(5). 2 indexed citations
3.
4.
Ray, Supratim, et al.. (2023). Healthy ageing and cognitive impairment alter EEG functional connectivity in distinct frequency bands. European Journal of Neuroscience. 58(6). 3432–3449. 6 indexed citations
5.
Ray, Supratim, et al.. (2023). Alpha and SSVEP power outperform gamma power in capturing attentional modulation in human EEG. Cerebral Cortex. 34(1). 1 indexed citations
6.
Ray, Supratim, et al.. (2022). Local Interactions between Steady-State Visually Evoked Potentials at Nearby Flickering Frequencies. Journal of Neuroscience. 42(19). 3965–3974. 3 indexed citations
7.
Mayo, J. Patrick, et al.. (2021). Decoding of Attentional State Using High-Frequency Local Field Potential Is As Accurate As Using Spikes. Cerebral Cortex. 31(9). 4314–4328. 7 indexed citations
8.
Ramesh, Ranjini Garani, et al.. (2020). Gamma oscillations weaken with age in healthy elderly in human EEG. NeuroImage. 215. 116826–116826. 65 indexed citations
9.
Ray, Supratim, et al.. (2020). Interaction between steady-state visually evoked potentials at nearby flicker frequencies. Scientific Reports. 10(1). 5344–5344. 16 indexed citations
10.
Ray, Supratim. (2019). The Human Advantage:A New Understanding of How Our Brain Became Remarkable. Current Science. 116(4). 670–671. 1 indexed citations
11.
Ray, Supratim, et al.. (2019). Alpha Neurofeedback Has a Positive Effect for Participants Who Are Unable to Sustain Their Alpha Activity. eNeuro. 6(4). ENEURO.0498–18.2019. 9 indexed citations
12.
Ray, Supratim, et al.. (2018). Large Visual Stimuli Induce Two Distinct Gamma Oscillations in Primate Visual Cortex. Journal of Neuroscience. 38(11). 2730–2744. 58 indexed citations
13.
Spencer, Austin P., et al.. (2016). Mapping multidimensional electronic structure and ultrafast dynamics with single-element detection and compressive sensing. Nature Communications. 7(1). 10434–10434. 18 indexed citations
14.
Mishra, Ashutosh, et al.. (2016). Comparison of Matching Pursuit Algorithm with Other Signal Processing Techniques for Computation of the Time-Frequency Power Spectrum of Brain Signals. Journal of Neuroscience. 36(12). 3399–3408. 38 indexed citations
15.
Ray, Supratim, et al.. (2015). Synthesis, structural characterization and biological activity of 2-(4-methylbenzenesulphonamido)pentanedioic acid amide derivatives: In vitro and in vivo antineoplastic activity. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Ray, Supratim. (2014). Challenges in the quantification and interpretation of spike-LFP relationships. Current Opinion in Neurobiology. 31. 111–118. 44 indexed citations
17.
Ray, Supratim. (2012). A Theoretical Study Of 1, 1-Diphenyl-2-Picrylhydrazyl (Dpph) Radical Scavenging Activities Of Flavonoids Using Electrotopological State Atom (E-State) Parameters. International Journal of Pharma and Bio Sciences. 3 indexed citations
18.
Ray, Supratim & John H. R. Maunsell. (2011). Network Rhythms Influence the Relationship between Spike-Triggered Local Field Potential and Functional Connectivity. Journal of Neuroscience. 31(35). 12674–12682. 80 indexed citations
19.
Ray, Supratim & John H. R. Maunsell. (2011). Different Origins of Gamma Rhythm and High-Gamma Activity in Macaque Visual Cortex. PLoS Biology. 9(4). e1000610–e1000610. 720 indexed citations breakdown →
20.
Ray, Supratim, Ernst Niebur, Steven S. Hsiao, Alon Sinai, & Nathan E. Crone. (2007). High-frequency gamma activity (80–150 Hz) is increased in human cortex during selective attention. Clinical Neurophysiology. 119(1). 116–133. 179 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.

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