Laurence T. Maloney

11.4k total citations · 4 hit papers
159 papers, 7.8k citations indexed

About

Laurence T. Maloney is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Social Psychology. According to data from OpenAlex, Laurence T. Maloney has authored 159 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Cognitive Neuroscience, 50 papers in Atomic and Molecular Physics, and Optics and 43 papers in Social Psychology. Recurrent topics in Laurence T. Maloney's work include Visual perception and processing mechanisms (88 papers), Color Science and Applications (50 papers) and Color perception and design (32 papers). Laurence T. Maloney is often cited by papers focused on Visual perception and processing mechanisms (88 papers), Color Science and Applications (50 papers) and Color perception and design (32 papers). Laurence T. Maloney collaborates with scholars based in United States, Germany and United Kingdom. Laurence T. Maloney's co-authors include Michael S. Landy, Hang Zhang, Brian A. Wandell, Julia Trommershäuser, Mark Young, Kenneth Knoblauch, Hüseyin Boyacı, Maria F. Dal Martello, Shih‐Wei Wu and Katja Doerschner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Laurence T. Maloney

147 papers receiving 7.5k citations

Hit Papers

Measurement and modeling ... 1986 2026 1999 2012 1995 1986 1986 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurence T. Maloney United States 44 5.7k 2.2k 2.1k 1.4k 1.1k 159 7.8k
Michael S. Landy United States 41 6.2k 1.1× 922 0.4× 1.3k 0.6× 1.3k 0.9× 1.4k 1.2× 173 7.4k
George Sperling United States 48 10.5k 1.8× 1.2k 0.5× 1.4k 0.7× 2.0k 1.4× 2.8k 2.4× 153 12.5k
David C. Knill United States 36 5.1k 0.9× 472 0.2× 1.0k 0.5× 857 0.6× 1.1k 1.0× 72 6.3k
Karl R. Gegenfurtner Germany 52 8.8k 1.6× 2.1k 1.0× 3.4k 1.6× 1.6k 1.1× 1.9k 1.6× 315 11.1k
Shinsuke Shimojo United States 60 10.0k 1.7× 421 0.2× 2.4k 1.1× 967 0.7× 4.4k 3.8× 240 12.8k
Robert Sekuler United States 56 8.6k 1.5× 691 0.3× 1.4k 0.7× 1.1k 0.8× 1.4k 1.2× 218 11.0k
Wilson S. Geisler United States 50 6.5k 1.1× 1.2k 0.5× 697 0.3× 3.5k 2.4× 526 0.5× 160 9.7k
Patrick Cavanagh United States 64 14.5k 2.5× 916 0.4× 2.0k 1.0× 2.1k 1.5× 2.7k 2.4× 341 16.3k
Hugh R. Wilson Canada 57 11.8k 2.1× 1.9k 0.9× 1.4k 0.7× 2.1k 1.5× 1.6k 1.4× 183 13.7k
Ken Nakayama United States 68 13.0k 2.3× 671 0.3× 1.8k 0.8× 3.2k 2.2× 3.3k 2.9× 142 15.3k

Countries citing papers authored by Laurence T. Maloney

Since Specialization
Citations

This map shows the geographic impact of Laurence T. Maloney'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 Laurence T. Maloney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence T. Maloney more than expected).

Fields of papers citing papers by Laurence T. Maloney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurence T. Maloney. 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 Laurence T. Maloney. The network helps show where Laurence T. Maloney may publish in the future.

Co-authorship network of co-authors of Laurence T. Maloney

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence T. Maloney. A scholar is included among the top collaborators of Laurence T. Maloney 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 Laurence T. Maloney. Laurence T. Maloney 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.
Maloney, Laurence T., et al.. (2024). A comparison of human and GPT-4 use of probabilistic phrases in a coordination game. Scientific Reports. 14(1). 6835–6835. 2 indexed citations
2.
Maloney, Laurence T., et al.. (2021). Two sources of uncertainty independently modulate temporal expectancy. Proceedings of the National Academy of Sciences. 118(16). 18 indexed citations
3.
Zhang, Hang, Xiangjuan Ren, & Laurence T. Maloney. (2020). The bounded rationality of probability distortion. Proceedings of the National Academy of Sciences. 117(36). 22024–22034. 19 indexed citations
4.
Glanzer, Murray, et al.. (2019). Generality of likelihood ratio decisions. Cognition. 191. 103931–103931.
5.
Zhang, Hang, et al.. (2015). Acquisition, representation, and transfer of models of visuo-motor error. Journal of Vision. 15(8). 6–6. 5 indexed citations
6.
Schüür, Friederike, et al.. (2013). Learning patterns in noise: Environmental statistics explain the sequential effect. Cognitive Science. 35(35). 3 indexed citations
7.
Maloney, Laurence T., et al.. (2013). Interactions between surface material and perception of angular velocity of rotating 3D objects. Journal of Vision. 13(9). 67–67. 1 indexed citations
8.
Gureckis, Todd M., et al.. (2012). One-shot lotteries in the park. Cognitive Science. 34(34). 1745–1749. 2 indexed citations
9.
Morvan, Camille & Laurence T. Maloney. (2012). Human Visual Search Does Not Maximize the Post-Saccadic Probability of Identifying Targets. PLoS Computational Biology. 8(2). e1002342–e1002342. 50 indexed citations
10.
Higuchi, Takahiro, et al.. (2011). Directional bias in the body while walking through a doorway: its association with attentional and motor factors. Experimental Brain Research. 210(2). 195–206. 13 indexed citations
11.
Gureckis, Todd M., et al.. (2011). Don't stop 'til you get enough: Adaptive information sampling in a visuomotor estimation task. Cognitive Science. 33(33). 2854–2859. 8 indexed citations
12.
Maloney, Laurence T. & Maria F. Dal Martello. (2011). Kin recognition based on viewing photographs of children's faces is not affected by facial inversion. Journal of Vision. 11(11). 664–664. 2 indexed citations
13.
Maloney, Laurence T. & Hang Zhang. (2010). Decision-theoretic models of visual perception and action. Vision Research. 50(23). 2362–2374. 88 indexed citations
14.
Brainard, David H. & Laurence T. Maloney. (2004). Perception of color and material properties in complex scenes. Journal of Vision. 4(9). i–i. 22 indexed citations
15.
Warren, Paul A., Laurence T. Maloney, & Michael S. Landy. (2002). Interpolating sampled contours in 3-D: analyses of variability and bias. Vision Research. 42(21). 2431–2446. 18 indexed citations
16.
Maloney, Laurence T., et al.. (2001). Introduction to the special issue on the work of Roger Shepard: The case for cognitive universals. Behavioral and Brain Sciences. 24(4). 579–580. 2 indexed citations
17.
Landy, Michael S., et al.. (1996). Depth cue anisotropies and weights. Investigative Ophthalmology & Visual Science. 37(3).
18.
Maloney, Laurence T.. (1992). Evaluation of linear models of surface spectral reflectance with small numbers of parameters. 87–97. 6 indexed citations
19.
Tukey, Paul A., et al.. (1990). Human perception and visualization. IEEE Visualization. 401–406. 16 indexed citations
20.
Maloney, Laurence T. & A. J. Ahumada. (1989). Learning by assertion: A method for calibrating a simple visual system. Neural Computation. 1. 387–395. 3 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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