Steven K. Shevell

4.7k total citations · 1 hit paper
125 papers, 3.3k citations indexed

About

Steven K. Shevell is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Social Psychology. According to data from OpenAlex, Steven K. Shevell has authored 125 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Cognitive Neuroscience, 70 papers in Atomic and Molecular Physics, and Optics and 57 papers in Social Psychology. Recurrent topics in Steven K. Shevell's work include Visual perception and processing mechanisms (112 papers), Color Science and Applications (70 papers) and Color perception and design (57 papers). Steven K. Shevell is often cited by papers focused on Visual perception and processing mechanisms (112 papers), Color Science and Applications (70 papers) and Color perception and design (57 papers). Steven K. Shevell collaborates with scholars based in United States, Japan and France. Steven K. Shevell's co-authors include Lance J. Rips, Norman M. Bradburn, James A. Schirillo, Frederick A. A. Kingdom, Norman Brown, Sang Wook Hong, Joel Pokorny, Vivianne C. Smith, E. Jin and Ji C. He and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Neuroscience.

In The Last Decade

Steven K. Shevell

118 papers receiving 3.2k citations

Hit Papers

align trajectories

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.

Answering Autobiographical Questions: The Impact of Memory and Inference on Surveys

1987 912 citations Steven K. Shevell et al. profile →

Peers

Steven K. Shevell

CN

SP

AMPO

ECP

MB

Svein Magnussen Norway

Robert J. Snowden United Kingdom

Nicholas Wade United Kingdom

Ray Over Australia

Petroc Sumner United Kingdom

Gregory Francis United States

Joan S. Girgus United States

Robert W. Massof United States

Paola Bressan Italy

George Wolford United States

Svein Magnussen Norway

Steven K. Shevell

2.8k ×1.4

CN

952 ×0.8

SP

273 ×0.2

AMPO

542 ×1.5

ECP

124 ×0.4

MB

Citations per year, relative to Steven K. Shevell Steven K. Shevell (= 1×) peers Svein Magnussen

Countries citing papers authored by Steven K. Shevell

Since Specialization

Citations

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

Fields of papers citing papers by Steven K. Shevell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven K. Shevell. 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 Steven K. Shevell. The network helps show where Steven K. Shevell may publish in the future.

Co-authorship network of co-authors of Steven K. Shevell

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

All Works

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20 of 20 papers shown

1.

Sutterer, David, et al.. (2021). Decoding chromaticity and luminance from patterns of EEG activity. Psychophysiology. 58(4). e13779–e13779. 11 indexed citations

2.

Elliott, Sarah L. & Steven K. Shevell. (2018). Illusory edges comingle with real edges in the neural representation of objects. Vision Research. 144. 47–51.

3.

Allen, Elizabeth Cheresh, Andrew Mattarella-Micke, Sian L. Beilock, & Steven K. Shevell. (2012). Perceptual Filling-In During Binocular Rivalry Relates to Variation in Working Memory Capacity. Journal of Vision. 12(9). 678–678. 1 indexed citations

4.

Allen, Elizabeth Cheresh, Andrew Mattarella-Micke, Steven K. Shevell, & Sian L. Beilock. (2011). Working memory capacity predicts individual differences in perception of a bistable figure. Journal of Vision. 11(11). 1257–1257. 2 indexed citations

5.

Kremers, Jan, et al.. (2011). Changes in perceived temporal variation due to context: Contributions from two distinct neural mechanisms. Vision Research. 51(16). 1853–1860. 9 indexed citations

6.

Rosenberg, Ari, et al.. (2010). The Neural Locus Underlying Perception of the Craik-O'Brien-Cornsweet Effect. Journal of Vision. 10(7). 416–416. 1 indexed citations

7.

Shevell, Steven K., et al.. (2010). Very-long-term chromatic adaptation and short-term chromatic adaptation: Are their influences cumulative?. Journal of Vision. 10(7). 392–392. 1 indexed citations

8.

Shevell, Steven K., et al.. (2010). Very-long-term and short-term chromatic adaptation: Are their influences cumulative?. Vision Research. 51(3). 362–366. 30 indexed citations

9.

Shevell, Steven K., et al.. (2006). Induced steady color shifts from temporally varying surrounds. Visual Neuroscience. 23(3-4). 483–487. 10 indexed citations

10.

Shevell, Steven K., et al.. (2004). Color shifts from S-cone patterned backgrounds: contrast sensitivity and spatial frequency selectivity. Vision Research. 45(9). 1147–1154. 19 indexed citations

11.

Shevell, Steven K., et al.. (2004). Chromatic induction from S-cone patterns. Vision Research. 44(9). 849–856. 37 indexed citations

12.

Cao, Dingcai & Steven K. Shevell. (2004). Chromatic assimilation: spread light or neural mechanism?. Vision Research. 45(8). 1031–1045. 18 indexed citations

13.

Hong, Sang Wook & Steven K. Shevell. (2003). Brightness contrast and assimilation from patterned inducing backgrounds. Vision Research. 44(1). 35–43. 34 indexed citations

14.

Shevell, Steven K., et al.. (2002). Stereo disparity improves color constancy. Vision Research. 42(16). 1979–1989. 58 indexed citations

15.

Shevell, Steven K., et al.. (2000). A central mechanism of chromatic contrast. Vision Research. 40(23). 3173–3180. 29 indexed citations

16.

Barnes, Claire S., et al.. (1999). Chromatic induction with remote chromatic contrast varied in magnitude, spatial frequency, and chromaticity. Vision Research. 39(21). 3561–3574. 29 indexed citations

17.

Shevell, Steven K. & Paul R. Miller. (1996). Color perception with test and adapting lights perceived in different depth planes. Vision Research. 36(7). 949–954. 13 indexed citations

18.

Pokorny, Joel, et al.. (1991). Foveal cone detection statistics in color-normals and dichromats. Vision Research. 31(6). 1021–1037. 59 indexed citations

19.

Vimal, Ram Lakhan Pandey, Joel Pokorny, Vivianne C. Smith, & Steven K. Shevell. (1989). Foveal cone thresholds. Vision Research. 29(1). 61–78. 98 indexed citations

20.

Shevell, Steven K., Ian E. Holliday, & Paul Whittle. (1988). Brightness contrast from adjacent and nonadjacent lights. Annual Meeting Optical Society of America. WD8–WD8. 1 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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