Barbara Anne Dosher

11.8k total citations · 1 hit paper
145 papers, 8.8k citations indexed

About

Barbara Anne Dosher is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Barbara Anne Dosher has authored 145 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Cognitive Neuroscience, 21 papers in Experimental and Cognitive Psychology and 17 papers in Artificial Intelligence. Recurrent topics in Barbara Anne Dosher's work include Visual perception and processing mechanisms (93 papers), Neural and Behavioral Psychology Studies (54 papers) and Neural dynamics and brain function (44 papers). Barbara Anne Dosher is often cited by papers focused on Visual perception and processing mechanisms (93 papers), Neural and Behavioral Psychology Studies (54 papers) and Neural dynamics and brain function (44 papers). Barbara Anne Dosher collaborates with scholars based in United States, China and Netherlands. Barbara Anne Dosher's co-authors include Zhong‐Lin Lu, J. Edward Russo, Eileen Kowler, Eric Anderson, Erik Blaser, Brian McElree, Alexander A. Petrov, George Sperling, Pamela E. Jeter and Dawn M. McBride and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Psychological Review.

In The Last Decade

Barbara Anne Dosher

140 papers receiving 8.5k citations

Hit Papers

The role of attention in ... 1995 2026 2005 2015 1995 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Anne Dosher United States 50 7.3k 1.4k 899 810 766 145 8.8k
John­–Dylan Haynes Germany 58 11.7k 1.6× 2.0k 1.4× 467 0.5× 1.6k 2.0× 455 0.6× 206 13.9k
Laurence T. Maloney United States 44 5.7k 0.8× 1.1k 0.8× 473 0.5× 2.1k 2.6× 1.4k 1.9× 159 7.8k
Shinsuke Shimojo United States 60 10.0k 1.4× 4.4k 3.1× 516 0.6× 2.4k 3.0× 967 1.3× 240 12.8k
Marisa Carrasco United States 57 12.1k 1.6× 2.3k 1.6× 401 0.4× 1.5k 1.8× 1.4k 1.9× 238 13.6k
Mary Hayhoe United States 46 6.7k 0.9× 982 0.7× 761 0.8× 1.6k 2.0× 2.5k 3.3× 171 9.4k
Alexandre Pouget United States 53 11.3k 1.5× 2.2k 1.5× 655 0.7× 968 1.2× 422 0.6× 108 13.4k
David Whitney United States 46 6.4k 0.9× 1.7k 1.2× 357 0.4× 944 1.2× 955 1.2× 196 7.7k
Edward K. Vogel United States 54 13.7k 1.9× 3.4k 2.4× 973 1.1× 1.9k 2.3× 479 0.6× 117 15.3k
Neil A. Macmillan United States 28 6.5k 0.9× 2.4k 1.6× 1.2k 1.3× 1.7k 2.1× 448 0.6× 48 9.1k
Steven Yantis United States 73 16.6k 2.3× 4.1k 2.9× 819 0.9× 2.2k 2.7× 2.0k 2.6× 132 19.1k

Countries citing papers authored by Barbara Anne Dosher

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Anne Dosher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara Anne Dosher. 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 Barbara Anne Dosher. The network helps show where Barbara Anne Dosher may publish in the future.

Co-authorship network of co-authors of Barbara Anne Dosher

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Anne Dosher. A scholar is included among the top collaborators of Barbara Anne Dosher 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 Barbara Anne Dosher. Barbara Anne Dosher 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.
Dosher, Barbara Anne, et al.. (2024). Estimating the Trial-by-Trial Learning Curve in Perceptual Learning with Hierarchical Bayesian Modeling. Journal of Cognitive Enhancement. 8(4). 346–363. 1 indexed citations
2.
Dosher, Barbara Anne, et al.. (2024). Enabling identification of component processes in perceptual learning with nonparametric hierarchical Bayesian modeling. Journal of Vision. 24(5). 8–8. 2 indexed citations
3.
Lu, Zhong‐Lin, et al.. (2023). Non-parametric Hierarchical Bayesian Modeling of the Learning Curve in Perceptual Learning. Journal of Vision. 23(9). 5752–5752. 1 indexed citations
4.
Lu, Zhong‐Lin, et al.. (2023). Informational feedback accelerates learning in multi-alternative perceptual judgements of orientation. Vision Research. 213. 108318–108318. 1 indexed citations
5.
Lu, Zhong‐Lin & Barbara Anne Dosher. (2022). Current directions in visual perceptual learning. Nature Reviews Psychology. 1(11). 654–668. 32 indexed citations
6.
Dosher, Barbara Anne, et al.. (2014). Modeling trial by trial and block feedback in perceptual learning. Vision Research. 99. 46–56. 22 indexed citations
7.
Lu, Zhong‐Lin, et al.. (2011). Visual attention in spatial cuing and visual search. Journal of Vision. 11(11). 162–162. 1 indexed citations
8.
Dosher, Barbara Anne, Pamela E. Jeter, Jing Liu, & Zhong‐Lin Lu. (2011). A Multi-Location Augmented Hebbian Reweighting Model (m-AHRM) of Transfer in Perceptual Learning. Journal of Vision. 11(11). 978–978. 2 indexed citations
9.
Dosher, Barbara Anne, et al.. (2011). Resolution of Representations in Spatially Cued Attention and Visual Working Memory: A Multi-Alternative Perceptual Template Decision Model. Journal of Vision. 11(11). 1271–1271. 1 indexed citations
10.
Jeter, Pamela E., et al.. (2010). Specificity of perceptual learning increases with increased training. Vision Research. 50(19). 1928–1940. 101 indexed citations
11.
Dosher, Barbara Anne, et al.. (2010). Attention and Uncertainty Limit Visual Search in Noisy Conditions. Journal of Vision. 10(7). 227–227. 1 indexed citations
12.
Li, Xiangrui, et al.. (2008). Blood oxygenation level-dependent contrast response functions identify mechanisms of covert attention in early visual areas. Proceedings of the National Academy of Sciences. 105(16). 6202–6207. 98 indexed citations
13.
Gersch, Timothy M., Eileen Kowler, Brian S. Schnitzer, & Barbara Anne Dosher. (2008). Attention during sequences of saccades along marked and memorized paths. Vision Research. 49(10). 1256–1266. 42 indexed citations
14.
Petrov, Alexander A., Barbara Anne Dosher, & Zhong‐Lin Lu. (2006). Perceptual learning without feedback in non-stationary contexts: Data and model. Vision Research. 46(19). 3177–3197. 82 indexed citations
15.
Lu, Zhong‐Lin, et al.. (2006). Bayesian adaptive estimation of threshold versus contrast external noise functions: The quick TvC method. Vision Research. 46(19). 3160–3176. 67 indexed citations
16.
Dosher, Barbara Anne, et al.. (2004). Parallel Processing in Visual Search Asymmetry.. Journal of Experimental Psychology Human Perception & Performance. 30(1). 3–27. 51 indexed citations
17.
Lu, Zhong‐Lin, et al.. (2000). Attention mechanisms for multi-location first- and second-order motion perception. Vision Research. 40(2). 173–186. 59 indexed citations
18.
Dosher, Barbara Anne & Zhong‐Lin Lu. (2000). Mechanisms of perceptual attention in precuing of location. Vision Research. 40(10-12). 1269–1292. 187 indexed citations
19.
Sperling, George & Barbara Anne Dosher. (1995). Depth from motion. 133–143. 11 indexed citations
20.
Dosher, Barbara Anne, et al.. (1984). Stereopsis versus proximity-luminance covariance as determinants of perceived three-dimensional structure (A). 1. 1254. 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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