Sameer Saproo

750 total citations
11 papers, 484 citations indexed

About

Sameer Saproo is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sameer Saproo has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 2 papers in Electrical and Electronic Engineering and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Sameer Saproo's work include Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (8 papers) and Neural and Behavioral Psychology Studies (5 papers). Sameer Saproo is often cited by papers focused on Neural dynamics and brain function (8 papers), Visual perception and processing mechanisms (8 papers) and Neural and Behavioral Psychology Studies (5 papers). Sameer Saproo collaborates with scholars based in United States. Sameer Saproo's co-authors include John T. Serences, Paul Sajda, Josef Faller, Jennifer Cummings, Thomas C. Sprague, Teh C. Ho, L. Tugan Muftuler, Miranda Scolari, David C. Jangraw and Victor Shih and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Sameer Saproo

11 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sameer Saproo United States 8 448 58 39 29 21 11 484
Guilhem Ibos France 9 492 1.1× 66 1.1× 34 0.9× 29 1.0× 23 1.1× 11 545
Vladimir Y. Vildavski United States 11 501 1.1× 58 1.0× 52 1.3× 35 1.2× 37 1.8× 14 553
Sirawaj Itthipuripat United States 16 664 1.5× 58 1.0× 85 2.2× 40 1.4× 26 1.2× 30 737
Kana Takaura Japan 9 363 0.8× 57 1.0× 53 1.4× 22 0.8× 28 1.3× 13 397
Adam N. Phillips Japan 6 356 0.8× 63 1.1× 26 0.7× 26 0.9× 31 1.5× 6 394
Naoyuki Matsuzaki United States 13 432 1.0× 77 1.3× 42 1.1× 31 1.1× 16 0.8× 27 503
M. A. Steinmetz United States 7 677 1.5× 85 1.5× 30 0.8× 32 1.1× 19 0.9× 7 694
A. Jedynak Germany 7 331 0.7× 39 0.7× 77 2.0× 24 0.8× 19 0.9× 11 377
Yaser Merrikhi Iran 8 299 0.7× 59 1.0× 33 0.8× 15 0.5× 7 0.3× 22 359
Shiang Hu China 8 252 0.6× 25 0.4× 51 1.3× 18 0.6× 12 0.6× 15 296

Countries citing papers authored by Sameer Saproo

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Saproo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameer Saproo

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

All Works

11 of 11 papers shown
1.
Faller, Josef, Jennifer Cummings, Sameer Saproo, & Paul Sajda. (2019). Regulation of arousal via online neurofeedback improves human performance in a demanding sensory-motor task. Proceedings of the National Academy of Sciences. 116(13). 6482–6490. 87 indexed citations
2.
Shih, Victor, David C. Jangraw, Sameer Saproo, & Paul Sajda. (2017). Deep Reinforcement Learning Using Neurophysiological Signatures of Interest. 285–286. 1 indexed citations
3.
Saproo, Sameer, Josef Faller, Victor Shih, et al.. (2016). Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction. Computer. 49(9). 60–68. 12 indexed citations
4.
Faller, Josef, Sameer Saproo, Victor Shih, & Paul Sajda. (2016). Closed-loop regulation of user state during a boundary avoidance task. 4. 4160–4164. 1 indexed citations
5.
Sprague, Thomas C., Sameer Saproo, & John T. Serences. (2015). Visual attention mitigates information loss in small- and large-scale neural codes. Trends in Cognitive Sciences. 19(4). 215–226. 62 indexed citations
6.
Saproo, Sameer & John T. Serences. (2014). Attention Improves Transfer of Motion Information between V1 and MT. Journal of Neuroscience. 34(10). 3586–3596. 34 indexed citations
7.
Saproo, Sameer & John T. Serences. (2012). Attention improves communication between V1 and MT. Journal of Vision. 12(9). 126–126. 1 indexed citations
8.
Serences, John T. & Sameer Saproo. (2011). Computational advances towards linking BOLD and behavior. Neuropsychologia. 50(4). 435–446. 73 indexed citations
9.
Saproo, Sameer & John T. Serences. (2010). Spatial Attention Improves the Quality of Population Codes in Human Visual Cortex. Journal of Neurophysiology. 104(2). 885–895. 39 indexed citations
10.
Serences, John T. & Sameer Saproo. (2010). Population Response Profiles in Early Visual Cortex Are Biased in Favor of More Valuable Stimuli. Journal of Neurophysiology. 104(1). 76–87. 83 indexed citations
11.
Serences, John T., Sameer Saproo, Miranda Scolari, Teh C. Ho, & L. Tugan Muftuler. (2008). Estimating the influence of attention on population codes in human visual cortex using voxel-based tuning functions. NeuroImage. 44(1). 223–231. 91 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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2026