R. Beau Lotto

1.9k total citations
44 papers, 1.2k citations indexed

About

R. Beau Lotto is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, R. Beau Lotto has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in R. Beau Lotto's work include Visual perception and processing mechanisms (19 papers), Color Science and Applications (13 papers) and Color perception and design (12 papers). R. Beau Lotto is often cited by papers focused on Visual perception and processing mechanisms (19 papers), Color Science and Applications (13 papers) and Color perception and design (12 papers). R. Beau Lotto collaborates with scholars based in United Kingdom, United States and Mexico. R. Beau Lotto's co-authors include Dale Purves, David J. Price, Lars Chıttka, William T. Wojtach, John­–Dylan Haynes, Geraint Rees, David Corney, Scott M. Williams, Timothy J. Andrews and Sarah Rennie and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

R. Beau Lotto

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Beau Lotto United Kingdom 20 636 241 233 209 187 44 1.2k
Daniel J. Felleman United States 12 1.4k 2.3× 124 0.5× 374 1.6× 85 0.4× 202 1.1× 17 1.7k
Carol M. Cicerone United States 18 833 1.3× 327 1.4× 400 1.7× 387 1.9× 590 3.2× 39 1.3k
Chou P. Hung United States 10 1.2k 1.8× 75 0.3× 520 2.2× 72 0.3× 257 1.4× 29 1.6k
Gregory D. Horwitz United States 24 1.4k 2.3× 172 0.7× 694 3.0× 103 0.5× 317 1.7× 49 1.9k
Timothy Ledgeway United Kingdom 27 2.1k 3.3× 218 0.9× 304 1.3× 271 1.3× 158 0.8× 90 2.4k
Horace Barlow United Kingdom 15 2.0k 3.2× 156 0.6× 1.2k 5.2× 97 0.5× 908 4.9× 35 3.0k
Tony Vladusich Australia 14 485 0.8× 145 0.6× 88 0.4× 127 0.6× 46 0.2× 29 730
Bevil R. Conway United States 28 2.2k 3.5× 676 2.8× 559 2.4× 407 1.9× 405 2.2× 64 3.0k
Avi Chaudhuri Canada 26 1.3k 2.1× 205 0.9× 761 3.3× 21 0.1× 467 2.5× 56 2.2k
Andrew C. James Australia 27 2.0k 3.1× 83 0.3× 611 2.6× 71 0.3× 487 2.6× 76 2.7k

Countries citing papers authored by R. Beau Lotto

Since Specialization
Citations

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

Fields of papers citing papers by R. Beau Lotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Beau Lotto. 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 R. Beau Lotto. The network helps show where R. Beau Lotto may publish in the future.

Co-authorship network of co-authors of R. Beau Lotto

This figure shows the co-authorship network connecting the top 25 collaborators of R. Beau Lotto. A scholar is included among the top collaborators of R. Beau Lotto 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 R. Beau Lotto. R. Beau Lotto 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.
Tibber, Marc S., et al.. (2012). Sensitivity to numerosity is not a unique visual psychophysical predictor of mathematical ability. Perception. 41. 228–228. 1 indexed citations
2.
Purves, Dale, William T. Wojtach, & R. Beau Lotto. (2011). Understanding vision in wholly empirical terms. Proceedings of the National Academy of Sciences. 108(supplement_3). 15588–15595. 77 indexed citations
3.
Lotto, R. Beau, Richard Clarke, David Corney, & Dale Purves. (2010). Seeing in colour. Optics & Laser Technology. 43(2). 261–269. 4 indexed citations
4.
Clarke, Richard & R. Beau Lotto. (2009). Visual processing of the bee innately encodes higher-order image statistics when the information is consistent with natural ecology. Vision Research. 49(11). 1455–1464. 3 indexed citations
5.
Álvarez‐Buylla, Elena, Álvaro Chaos, Maximino Aldana, et al.. (2008). Floral Morphogenesis: Stochastic Explorations of a Gene Network Epigenetic Landscape. PLoS ONE. 3(11). e3626–e3626. 96 indexed citations
6.
Bentley, Peter J., et al.. (2007). Exploiting Natural Asynchrony and Local Knowledge within Systemic Computation to Enable Generic Neural Structures.. UCL Discovery (University College London). 122–133. 2 indexed citations
7.
Corney, David & R. Beau Lotto. (2007). What Are Lightness Illusions and Why Do We See Them?. PLoS Computational Biology. 3(9). e180–e180. 38 indexed citations
8.
Howe, Catherine Q., R. Beau Lotto, & Dale Purves. (2006). Comparison of Bayesian and empirical ranking approaches to visual perception. Journal of Theoretical Biology. 241(4). 866–875. 36 indexed citations
9.
Lotto, R. Beau & Martina Wicklein. (2005). Bees encode behaviorally significant spectral relationships in complex scenes to resolve stimulus ambiguity. Proceedings of the National Academy of Sciences. 102(46). 16870–16874. 16 indexed citations
10.
Andrews, Timothy J. & R. Beau Lotto. (2004). Fusion and Rivalry Are Dependent on the Perceptual Meaning of Visual Stimuli. Current Biology. 14(5). 418–423. 26 indexed citations
11.
Haynes, John­–Dylan, R. Beau Lotto, & Geraint Rees. (2004). Responses of human visual cortex to uniform surfaces. Proceedings of the National Academy of Sciences. 101(12). 4286–4291. 68 indexed citations
12.
Lotto, R. Beau. (2004). Visual Development: Experience Puts the Colour in Life. Current Biology. 14(15). R619–R621. 8 indexed citations
13.
Lotto, R. Beau. (2002). A rationale for the structure of color space. Trends in Neurosciences. 25(2). 84–89. 15 indexed citations
14.
Lotto, R. Beau & Dale Purves. (2001). An Empirical Explanation of the Chubb Illusion. Journal of Cognitive Neuroscience. 13(5). 547–555. 22 indexed citations
15.
Grant, Grace, et al.. (1999). Basic fibroblast growth factor promotes subplate cell survival in explant cultures of embryonic mouse cortex. Neuroscience Letters. 271(3). 143–146. 3 indexed citations
16.
Lotto, R. Beau & Dale Purves. (1999). The effects of color on brightness. Nature Neuroscience. 2(11). 1010–1014. 90 indexed citations
17.
Lotto, R. Beau, et al.. (1999). Effects of the thalamus on the development of cerebral cortical efferentsin vitro. Journal of Neurobiology. 39(2). 186–196. 7 indexed citations
18.
Lotto, R. Beau & David J. Price. (1995). The Stimulation of Thalamic Neurite Outgrowth by Cortex‐derived Growth Factors In Vitro: The Influence of Cortical Age and Activity. European Journal of Neuroscience. 7(2). 318–328. 33 indexed citations
19.
Dutia, Mayank B., R. Beau Lotto, & A.R. Johnston. (1995). Post-natal Development of Tonic Activity and Membrane Excitability in Mouse Medial Vestibular Nucleus Neurones. Acta Oto-Laryngologica. 115(sup520). 101–104. 26 indexed citations
20.
Lotto, R. Beau & David J. Price. (1994). Evidence that molecules influencing axonal growth and termination in the developing geniculocortical pathway are conserved between divergent mammalian species. Developmental Brain Research. 81(1). 17–25. 11 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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