Manish Singh

5.0k total citations · 1 hit paper
97 papers, 3.2k citations indexed

About

Manish Singh is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Manish Singh has authored 97 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cognitive Neuroscience, 32 papers in Computer Vision and Pattern Recognition and 16 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Manish Singh's work include Visual perception and processing mechanisms (75 papers), Color Science and Applications (16 papers) and Neural dynamics and brain function (15 papers). Manish Singh is often cited by papers focused on Visual perception and processing mechanisms (75 papers), Color Science and Applications (16 papers) and Neural dynamics and brain function (15 papers). Manish Singh collaborates with scholars based in United States, Netherlands and Germany. Manish Singh's co-authors include Donald D. Hoffman, Jacob Feldman, Johan Wagemans, R. von der Heydt, James H. Elder, Michael Kubovy, Stephen Palmer, Mary A. Peterson, Barton L. Anderson and Jacqueline M. Fulvio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin and PLoS ONE.

In The Last Decade

Manish Singh

91 papers receiving 3.1k citations

Hit Papers

A century of Gestalt psychology in visual perception: I. ... 2012 2026 2016 2021 2012 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. A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure–ground organization.
    2012 899 citations Johan Wagemans, Manish Singh et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Singh United States 26 2.1k 1.0k 512 455 275 97 3.2k
Donald D. Hoffman United States 29 1.9k 0.9× 1.6k 1.6× 382 0.7× 356 0.8× 176 0.6× 78 3.5k
Daniel Kersten United States 36 3.7k 1.8× 895 0.9× 640 1.3× 626 1.4× 592 2.2× 129 4.5k
Roland W. Fleming Germany 29 2.1k 1.0× 1.4k 1.4× 603 1.2× 429 0.9× 803 2.9× 151 3.4k
James H. Elder Canada 24 1.6k 0.8× 2.0k 2.0× 335 0.7× 345 0.8× 185 0.7× 94 4.2k
Ennio Mingolla United States 34 3.9k 1.9× 1.2k 1.2× 639 1.2× 290 0.6× 838 3.0× 107 4.9k
W. A. Richards United States 14 914 0.4× 773 0.8× 190 0.4× 222 0.5× 188 0.7× 21 1.8k
Whitman Richards United States 33 3.8k 1.8× 1.1k 1.1× 583 1.1× 411 0.9× 566 2.1× 107 5.2k
Richard L Gregory United Kingdom 32 2.8k 1.3× 453 0.4× 714 1.4× 620 1.4× 334 1.2× 145 4.4k
Pascal Mamassian France 35 3.0k 1.5× 463 0.5× 676 1.3× 1.0k 2.2× 215 0.8× 162 3.8k
Philip J. Kellman United States 32 2.3k 1.1× 662 0.6× 485 0.9× 587 1.3× 239 0.9× 127 3.6k

Countries citing papers authored by Manish Singh

Since Specialization
Citations

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

Fields of papers citing papers by Manish Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Singh. A scholar is included among the top collaborators of Manish Singh 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 Manish Singh. Manish Singh 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.
2.
Feldman, Jacob, et al.. (2023). A Prior for Convexity can Override the Rigidity Assumption in Structure-From-Motion. Journal of Vision. 23(9). 5643–5643.
3.
Chang, C., Hikaru Kuramochi, Manish Singh, et al.. (2021). A Unified View on Varied Ultrafast Dynamics of the Primary Process in Microbial Rhodopsins. Angewandte Chemie. 134(2). 3 indexed citations
4.
Prakash, Chetan, et al.. (2020). Fitness Beats Truth in the Evolution of Perception. Acta Biotheoretica. 69(3). 319–341. 28 indexed citations
5.
Singh, Manish, et al.. (2019). Shape discrimination along morph-spaces. Vision Research. 158. 189–199. 8 indexed citations
6.
Feldman, Jacob, et al.. (2018). When Is Accreting/Deleting Texture Seen as In Front? Interpretation of Depth From Texture Motion. Perception. 47(7). 694–721. 1 indexed citations
7.
Jäkel, Frank, Manish Singh, Felix A. Wichmann, & Michael H. Herzog. (2016). An overview of quantitative approaches in Gestalt perception. Vision Research. 126. 3–8. 34 indexed citations
8.
Hoffman, Donald D., Manish Singh, & Chetan Prakash. (2015). The Interface Theory of Perception. Psychonomic Bulletin & Review. 22(6). 1480–1506. 132 indexed citations
9.
Wilder, John, et al.. (2013). Detecting shapes in noise: the role of contour-based and region-based representations. Journal of Vision. 13(9). 727–727. 1 indexed citations
10.
Singh, Manish, et al.. (2012). Stereo-slant: a novel method for measuring figure-ground assignment. Journal of Vision. 12(9). 1295–1295. 1 indexed citations
11.
Wilder, John, Jacob Feldman, & Manish Singh. (2011). Contour complexity and contour detectability. Journal of Vision. 11(11). 1044–1044. 1 indexed citations
12.
Singh, Manish, et al.. (2011). Integration of local and global cues to reconstruct surface structure. Journal of Vision. 11(11). 1100–1100. 1 indexed citations
13.
Kogo, Naoki, et al.. (2011). Integration of contour and skeleton based cues in the reconstruction of surface structure. Perception. 40. 1 indexed citations
14.
Barnett‐Cowan, Michael, Roland W. Fleming, Manish Singh, & HH Bülthoff. (2011). Perceived Object Stability Depends on Multisensory Estimates of Gravity. PLoS ONE. 6(4). e19289–e19289. 25 indexed citations
15.
Singh, Manish, et al.. (2010). Robust visual estimation as source separation. Journal of Vision. 10(14). 2–2. 8 indexed citations
16.
Singh, Manish & Jacqueline M. Fulvio. (2007). Bayesian contour extrapolation: Geometric determinants of good continuation. Vision Research. 47(6). 783–798. 28 indexed citations
17.
Singh, Manish, et al.. (2007). Geometric determinants of shape segmentation: Tests using segment identification. Vision Research. 47(22). 2825–2840. 26 indexed citations
18.
Anderson, Barton L., et al.. (2006). The perceived transmittance of inhomogeneous surfaces and media. Vision Research. 46(12). 1982–1995. 16 indexed citations
19.
Anderson, Barton L., Manish Singh, & Roland W. Fleming. (2002). The Interpolation of Object and Surface Structure. Cognitive Psychology. 44(2). 148–190. 68 indexed citations
20.
Singh, Manish & Barton L. Anderson. (2002). Toward a perceptual theory of transparency.. Psychological Review. 109(3). 492–519. 136 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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