Narayanan Srinivasan

5.1k total citations
151 papers, 2.8k citations indexed

About

Narayanan Srinivasan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Narayanan Srinivasan has authored 151 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Cognitive Neuroscience, 27 papers in Experimental and Cognitive Psychology and 23 papers in Social Psychology. Recurrent topics in Narayanan Srinivasan's work include Neural and Behavioral Psychology Studies (47 papers), Visual perception and processing mechanisms (21 papers) and Face Recognition and Perception (16 papers). Narayanan Srinivasan is often cited by papers focused on Neural and Behavioral Psychology Studies (47 papers), Visual perception and processing mechanisms (21 papers) and Face Recognition and Perception (16 papers). Narayanan Srinivasan collaborates with scholars based in India, United States and United Kingdom. Narayanan Srinivasan's co-authors include Shruti Baijal, Rashmi Gupta, Shankar Krishnan, Antonino Raffone, Nick Hopkins, Sammyh S. Khan, Shruti Tewari, Stephen Reicher, Bhoomika R. Kar and Priyanka Srivastava and has published in prestigious journals such as PLoS ONE, Scientific Reports and Psychological Science.

In The Last Decade

Narayanan Srinivasan

140 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narayanan Srinivasan India 33 1.5k 625 547 429 307 151 2.8k
Andreas Voß Germany 36 2.5k 1.7× 1.3k 2.1× 725 1.3× 355 0.8× 578 1.9× 148 5.1k
Yang Jiang United States 31 2.6k 1.7× 522 0.8× 402 0.7× 298 0.7× 93 0.3× 153 3.7k
Kathleen M. Gates United States 32 1.3k 0.9× 1.4k 2.2× 288 0.5× 517 1.2× 86 0.3× 92 2.8k
Sebastian Wallot Germany 29 960 0.6× 473 0.8× 778 1.4× 125 0.3× 178 0.6× 82 2.4k
Michael B. Miller United States 34 3.5k 2.3× 828 1.3× 605 1.1× 303 0.7× 177 0.6× 79 4.9k
Guy Madison Sweden 30 2.1k 1.4× 846 1.4× 723 1.3× 145 0.3× 144 0.5× 142 3.3k
Florian Schmitz Germany 25 615 0.4× 656 1.0× 313 0.6× 614 1.4× 256 0.8× 59 2.3k
Miguel A. Vadillo Spain 29 1.4k 0.9× 568 0.9× 606 1.1× 272 0.6× 331 1.1× 137 3.0k
David F Marks United Kingdom 30 1.4k 0.9× 961 1.5× 943 1.7× 577 1.3× 307 1.0× 90 4.1k
Hudson Golino United States 23 616 0.4× 1.3k 2.0× 466 0.9× 545 1.3× 248 0.8× 62 2.4k

Countries citing papers authored by Narayanan Srinivasan

Since Specialization
Citations

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

Fields of papers citing papers by Narayanan Srinivasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narayanan Srinivasan

This figure shows the co-authorship network connecting the top 25 collaborators of Narayanan Srinivasan. A scholar is included among the top collaborators of Narayanan Srinivasan 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 Narayanan Srinivasan. Narayanan Srinivasan 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.
Srinivasan, Narayanan, et al.. (2025). Deciphering temporal scales of visual awareness: insights from flicker frequency modulation in continuous flash suppression. Neuroscience of Consciousness. 2025(1). niaf005–niaf005.
2.
Mukherjee, Sumitava, et al.. (2025). The role of magnitude in loss aversion.. Decision. 12(2). 93–110. 1 indexed citations
3.
Arshad, Faheem, et al.. (2025). Thalamus as a neural marker of cognitive reserve in bilinguals with frontotemporal dementia. Bilingualism Language and Cognition. 29(1). 249–258.
4.
Srinivasan, Narayanan, et al.. (2024). Disinterested attention and aesthetic experience. Progress in brain research. 287. 25–44. 1 indexed citations
5.
Srinivasan, Narayanan, et al.. (2024). Alleviation of SWBLI over the payload of a launch vehicle by change of nose shape. Aerospace Science and Technology. 151. 109265–109265.
6.
Srinivasan, Narayanan, et al.. (2024). Alpha suppression in the context of cross-frequency interactions between fast and intermediate timescales. Physics of Life Reviews. 51. 11–12. 1 indexed citations
7.
Srinivasan, Narayanan, et al.. (2022). A wrinkle in and of time: Contraction of felt duration with a single perceptual switch. Cognition. 225. 105151–105151. 1 indexed citations
8.
Mukherjee, Sumitava, Arvind Sahay, V. S. Chandrasekhar Pammi, & Narayanan Srinivasan. (2017). Is loss-aversion magnitude-dependent? Measuring prospective affective judgments regarding gains and losses. Judgment and Decision Making. 12(1). 81–89. 47 indexed citations
9.
Husain, Samar, Shravan Vasishth, & Narayanan Srinivasan. (2014). Strong Expectations Cancel Locality Effects: Evidence from Hindi. PLoS ONE. 9(7). e100986–e100986. 50 indexed citations
10.
Vasishth, Shravan, et al.. (2012). The role of clefting, word order and given-new ordering in sentence comprehension: Evidence from Hindi. 5(1). 8 indexed citations
11.
Tewari, Shruti, Sammyh S. Khan, Nick Hopkins, Narayanan Srinivasan, & Stephen Reicher. (2012). Participation in Mass Gatherings Can Benefit Well-Being: Longitudinal and Control Data from a North Indian Hindu Pilgrimage Event. PLoS ONE. 7(10). e47291–e47291. 99 indexed citations
12.
Srinivasan, Narayanan & Raj Kumar Gupta. (2011). Global–local processing affects recognition of distractor emotional faces. UCL Discovery (University College London). 1 indexed citations
13.
Baijal, Shruti & Narayanan Srinivasan. (2011). Consolidation of statistical information of multiple objects in working memory. Attention Perception & Psychophysics. 73(6). 1733–1741. 6 indexed citations
14.
Gupta, Rashmi & Narayanan Srinivasan. (2010). Distractor Evaluation affects Awareness under High Load. Journal of Vision. 10(7). 197–197. 1 indexed citations
15.
Baijal, Shruti & Narayanan Srinivasan. (2009). Types of attention matter for awareness: A study with color afterimages. Consciousness and Cognition. 18(4). 1039–1048. 16 indexed citations
16.
Baijal, Shruti & Narayanan Srinivasan. (2009). Theta activity and meditative states: spectral changes during concentrative meditation. Cognitive Processing. 11(1). 31–38. 130 indexed citations
17.
Chandrasekharan, Sanjay, et al.. (2007). Thinking More Lowers Hand Waving: Dual Task Damps Hand Movements During Mental Rotation. eScholarship (California Digital Library). 29(29). 857–862.
18.
Srinivasan, Narayanan. (2007). Interdependence of attention and consciousness. Progress in brain research. 168. 65–75. 14 indexed citations
19.
Chandrasekharan, Sanjay, et al.. (2006). Twists and Oliver Twists in Mental Rotation: Complementary Actions as Orphan Processes. eScholarship (California Digital Library). 28(28). 5 indexed citations
20.
Srinivasan, Narayanan, et al.. (2002). Cardiac arrhythmia classification using autoregressive modeling. BioMedical Engineering OnLine. 1(1). 5–5. 177 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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