World's Best Scientists 2026 revealed!
Laurence T. Maloney

Laurence T. Maloney

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
14049
World Ranking
2775
National Ranking
846

Laurence T. Maloney publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Laurence T. Maloney sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 275 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Laurence T. Maloney D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Laurence T. Maloney sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2015 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Laurence T. Maloney is affiliated with New York University in the United States. Their research spans the fields of neuroscience and computer science, with a focus on cognitive neuroscience, artificial intelligence, general decision sciences, atomic and molecular physics, and optics. The primary research topics include visual perception and processing mechanisms, decision-making and behavioral economics, color science and applications, neural and behavioral psychology studies, forecasting techniques and applications, topic modeling, and advanced text analysis techniques.

Their recent published papers include the following:

  • "Two sources of uncertainty independently modulate temporal expectancy," 2021, Proceedings of the National Academy of Sciences
  • "The bounded rationality of probability distortion," 2020, Proceedings of the National Academy of Sciences
  • "Measuring and Modeling Visual Appearance," 2020, Annual Review of Vision Science
  • "Lightness constancy in reality, in virtual reality, and on flat-panel displays," 2024, Behavior Research Methods
  • "A comparison of human and GPT-4 use of probabilistic phrases in a coordination game," 2024, Scientific Reports

Frequent co-authors include:

  • Keiji Ota
  • Maria F. Dal Martello
  • Vivian Fei
  • Valerie Ma
  • Khushbu Patel

Notable frequent publication venues for their work are:

  • Journal of Vision
  • Proceedings of the National Academy of Sciences
  • Annual Review of Vision Science
  • Behavior Research Methods
  • Scientific Reports

The research contributions cover multiple topics, with publications addressing aspects of visual perception, decision-making processes, and color science. Their investigations incorporate computational models and experimental methods related to how humans perceive and interpret sensory information and make decisions under uncertainty.

Laurence T. Maloney has been recognized with several awards, including being named a Fellow of the John Simon Guggenheim Memorial Foundation in 2015 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2012.

Best Publications

  • Measurement and Modeling of Depth Cue Combination: in Defense of Weak Fusion

    Michael S. Landy;Laurence T. Maloney;Elizabeth B. Johnston;Mark Young

  • Color constancy: a method for recovering surface spectral reflectance

    Laurence T. Maloney;Brian A. Wandell

  • Evaluation of linear models of surface spectral reflectance with small numbers of parameters

    Laurence T. Maloney

  • Ubiquitous log odds: a common representation of probability and frequency distortion in perception, action, and cognition

    Hang Zhang;Laurence T. Maloney

  • Decision making, movement planning and statistical decision theory

    Julia Trommershäuser;Laurence T. Maloney;Michael S. Landy

  • Statistical decision theory and the selection of rapid, goal-directed movements

    Julia Trommershauser;Laurence T. Maloney;Michael S. Landy

  • Weighted linear cue combination with possibly correlated error

    İpek Oruç;Laurence T. Maloney;Laurence T. Maloney;Michael S. Landy;Michael S. Landy

  • A perturbation analysis of depth perception from combinations of texture and motion cues

    Mark J. Young;Michael S. Landy;Laurence T. Maloney

  • Statistical decision theory and trade-offs in the control of motor response

    Julia Trommershäuser;Laurence T. Maloney;Michael S. Landy

  • Bayesian decision theory as a model of human visual perception: Testing Bayesian transfer

    Laurence T. Maloney;Pascal Mamassian

  • The effect of viewpoint on perceived visual roughness.

    Yun Xian Ho;Laurence T. Maloney;Michael S. Landy

  • An assessment of the semantic network in patients with alzheimer's disease

    Agnes S. Chan;Nelson Butters;Jane S. Paulsen;David P. Salmon

  • Conjoint Measurement of Gloss and Surface Texture

    Yun Xian Ho;Michael S. Landy;Michael S. Landy;Laurence T. Maloney;Laurence T. Maloney

  • Optimal Compensation for Changes in Task-Relevant Movement Variability

    Julia Trommershäuser;Sergei Gepshtein;Laurence T. Maloney;Michael S. Landy

  • Maximum likelihood difference scaling.

    Laurence T Maloney;Joong Nam Yang

  • Decision-theoretic models of visual perception and action.

    Laurence T. Maloney;Laurence T. Maloney;Hang Zhang;Hang Zhang

  • Illuminant cues in surface color perception: tests of three candidate cues.

    Joong Nam Yang;Laurence T. Maloney;Laurence T. Maloney

  • Bias and sensitivity in two-interval forced choice procedures: Tests of the difference model.

    Yaffa Yeshurun;Marisa Carrasco;Laurence T. Maloney

  • A Statistical Framework for Robust Fusion of Depth Information

    Laurence T. Maloney;Michael S. Landy

  • Surface color perception and equivalent illumination models.

    David H. Brainard;Laurence T. Maloney

Frequent Co-Authors

Michael S. Landy
Michael S. Landy New York University
Kenneth Knoblauch
Kenneth Knoblauch Claude Bernard University Lyon 1
Pascal Mamassian
Pascal Mamassian École Normale Supérieure
Brian A. Wandell
Brian A. Wandell Stanford University
Nathaniel D. Daw
Nathaniel D. Daw Princeton University
David H. Brainard
David H. Brainard University of Pennsylvania
Mauricio R. Delgado
Mauricio R. Delgado The University of Texas Southwestern Medical Center
David Poeppel
David Poeppel New York University
Alan C. Bovik
Alan C. Bovik The University of Texas at Austin
Lothar Spillmann
Lothar Spillmann University of Freiburg

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