Richard Murray

1.5k total citations
51 papers, 1.0k citations indexed

About

Richard Murray is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Social Psychology. According to data from OpenAlex, Richard Murray has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 20 papers in Atomic and Molecular Physics, and Optics and 11 papers in Social Psychology. Recurrent topics in Richard Murray's work include Visual perception and processing mechanisms (31 papers), Color Science and Applications (20 papers) and Color perception and design (10 papers). Richard Murray is often cited by papers focused on Visual perception and processing mechanisms (31 papers), Color Science and Applications (20 papers) and Color perception and design (10 papers). Richard Murray collaborates with scholars based in Canada, United States and Ireland. Richard Murray's co-authors include Allison B. Sekuler, Patrick Bennett, Jason M. Gold, Yaniv Morgenstern, Aidan J. Quinn, Daniela Iacopino, Laurence R. Harris, Wilson S. Geisler, Mícheál Burke and Julian Le Grand and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and Psychological Science.

In The Last Decade

Richard Murray

43 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Murray Canada 15 648 184 137 129 122 51 1.0k
Adam M. Larson United States 15 385 0.6× 243 1.3× 38 0.3× 88 0.7× 96 0.8× 44 946
Jukka Saarinen Finland 24 1.0k 1.6× 115 0.6× 60 0.4× 136 1.1× 99 0.8× 59 1.6k
Robert Patterson United States 24 888 1.4× 294 1.6× 42 0.3× 285 2.2× 69 0.6× 121 1.7k
Matthias S. Keil Germany 15 264 0.4× 101 0.5× 155 1.1× 44 0.3× 52 0.4× 58 594
Ronald van den Berg Netherlands 30 1.4k 2.2× 163 0.9× 234 1.7× 197 1.5× 24 0.2× 78 2.6k
Shinichi Komatsu Japan 15 278 0.4× 76 0.4× 69 0.5× 72 0.6× 101 0.8× 92 783
Hiroshi Ban Japan 20 394 0.6× 53 0.3× 42 0.3× 38 0.3× 141 1.2× 90 1.0k
Daniel Rasmussen United States 13 594 0.9× 48 0.3× 94 0.7× 48 0.4× 56 0.5× 35 1.3k
Kenichiro Masaoka Japan 18 195 0.3× 332 1.8× 303 2.2× 128 1.0× 59 0.5× 76 846
Takahiro Kawabe Japan 20 879 1.4× 184 1.0× 93 0.7× 284 2.2× 17 0.1× 114 1.3k

Countries citing papers authored by Richard Murray

Since Specialization
Citations

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

Fields of papers citing papers by Richard Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Murray. A scholar is included among the top collaborators of Richard Murray 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 Richard Murray. Richard Murray 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.
Hamidi, Hassan, Richard Murray, Somayyeh Bozorgzadeh, et al.. (2025). A high performance laser induced graphene (LIG) dual biosensor for simultaneous monitoring of glucose and lactate. Biosensors and Bioelectronics X. 24. 100600–100600.
2.
Vaughan, Eoghan, Richard Murray, Labrini Sygellou, et al.. (2025). Sustainable electrochemical sensors from cork-derived laser induced graphene: Non-enzymatic glucose detection in urine. Sensors and Actuators B Chemical. 430. 137352–137352. 13 indexed citations
3.
4.
Cavalera, Simone, et al.. (2025). Pen direct writing of multiplex-LFIA for detection of thiamphenicol and tylosin in milk. Microchimica Acta. 192(2). 59–59. 1 indexed citations
5.
Cavalera, Simone, Richard Murray, Pierre Lovera, et al.. (2024). Pen direct writing of SERRS-based lateral flow assays for detection of penicillin G in milk. Nanoscale Advances. 6(5). 1524–1534. 5 indexed citations
6.
Murray, Richard. (2024). Evaluating Lightness Constancy in a High-definition VR Environment. Color and Imaging Conference. 32(1). 166–172.
7.
Wilcox, Laurie M., et al.. (2024). Lightness constancy in reality, in virtual reality, and on flat-panel displays. Behavior Research Methods. 56(6). 6389–6407. 1 indexed citations
8.
Murray, Richard, et al.. (2024). Room Temperature Sensing of Volatile Organic Compounds Using Hybrid Layered SnO Mesoflowers and Laser-Induced Graphitic Carbon Devices. ACS Sustainable Chemistry & Engineering. 12(41). 15063–15076. 3 indexed citations
9.
10.
Murray, Richard, et al.. (2023). An intrinsic image network evaluated as a model of human lightness perception. Electronic Imaging. 35(10). 247–1.
11.
Murray, Richard, Eoghan Vaughan, Daniela Iacopino, et al.. (2022). Direct-write formation of integrated bottom contacts to laser-induced graphene-like carbon. Nanotechnology. 33(40). 405204–405204. 5 indexed citations
12.
Murray, Richard. (2016). Classification images in a very general decision model. Vision Research. 123. 26–32. 2 indexed citations
13.
Murray, Richard, et al.. (2015). Posterior Probability Matching and Human Perceptual Decision Making. PLoS Computational Biology. 11(6). e1004342–e1004342. 17 indexed citations
14.
Morgenstern, Yaniv, Wilson S. Geisler, & Richard Murray. (2014). Human vision is attuned to the diffuseness of natural light. Journal of Vision. 14(9). 15–15. 42 indexed citations
15.
Murray, Richard. (2013). Human lightness perception is guided by simple assumptions about reflectance and lighting. Journal of Vision. 13(9). 1150–1150. 3 indexed citations
16.
Murray, Richard. (2013). Human lightness perception is guided by simple assumptions about reflectance and lighting. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8651. 865106–865106. 10 indexed citations
17.
Murray, Richard, Allison B. Sekuler, & Patrick Bennett. (2003). A linear cue combination framework for understanding selective attention. Journal of Vision. 3(2). 2–2. 19 indexed citations
18.
Murray, Richard, Brent R. Beutter, Miguel P. Eckstein, & Leland S. Stone. (2003). Saccadic and perceptual performance in visual search tasks II Letter discrimination. Journal of the Optical Society of America A. 20(7). 1356–1356. 7 indexed citations
19.
Murray, Richard, Patrick Bennett, & Allison B. Sekuler. (2002). Optimal methods for calculating classification images: Weighted sums. Journal of Vision. 2(1). 6–6. 86 indexed citations
20.
Gold, Jason M., et al.. (2000). Deriving behavioural receptive fields for visually completed contours. Current Biology. 10(11). 663–666. 153 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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