World's Best Scientists 2026 revealed!
Robert M. Nosofsky

Robert M. Nosofsky

D-Index & Metrics

Psychology

D-Index
63
Citations
20630
World Ranking
3068
National Ranking
1747

Robert M. Nosofsky publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Robert M. Nosofsky sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 135 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Robert M. Nosofsky D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Robert M. Nosofsky sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 63 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Research.com Recognitions

  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2015 - Fellow of the American Academy of Arts and Sciences
  • 1995 - Troland Research Awards, United States National Academy of Sciences For his creative synthesis of information processing models and techniques of psychological measurement in the combined theoretical and experimental analysis of human categorization learning.

Overview

Robert M. Nosofsky is affiliated with Indiana University in the United States and conducts research primarily in psychology, computer science, and neuroscience. Their work spans several interrelated subfields, including developmental and educational psychology, cognitive neuroscience, artificial intelligence, computer vision and pattern recognition, and cultural studies.

The scientist's research focuses on a range of topics, notably child and animal learning development, face recognition and perception, domain adaptation and few-shot learning, memory processes and influences, language and cultural evolution, cognitive and developmental aspects of mathematical skills, and topic modeling.

Recent papers authored or coauthored by Robert M. Nosofsky include the following:

  • Training Deep Networks to Construct a Psychological Feature Space for a Natural-Object Category Domain, 2020, Computational Brain & Behavior
  • Exemplar-model account of categorization and recognition when training instances never repeat, 2021, Journal of Experimental Psychology Learning Memory and Cognition
  • Contrasting exemplar and prototype models in a natural-science category domain, 2022, Journal of Experimental Psychology Learning Memory and Cognition
  • Testing formal cognitive models of classification and old-new recognition in a real-world high-dimensional category domain, 2023, Cognitive Psychology
  • Integrating Categorization and Decision-Making, 2023, Cognitive Science

Throughout their career, Nosofsky has frequently published in the following venues:

  • Journal of Experimental Psychology Learning Memory and Cognition
  • Computational Brain & Behavior
  • Memory & Cognition
  • Cognitive Psychology
  • Cognitive Science

Frequent collaborators include Mingjia Hu, Brian J. Meagher, Craig Sanders, Parhesh Kumar, and Rong Zheng. Nosofsky's publications show a collaborative research approach within both psychology and computational modeling domains.

Robert M. Nosofsky has received several recognitions, including being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2018 and a Fellow of the American Academy of Arts and Sciences in 2015. Earlier, in 1995, they were awarded the Troland Research Award by the United States National Academy of Sciences for work synthesizing information processing models and psychological measurement techniques in human categorization learning.

Best Publications

  • Attention, similarity, and the identification-categorization relationship.

    Robert M. Nosofsky

  • Rule-Plus-Exception Model of Classification Learning.

    Robert M. Nosofsky;Thomas J. Palmeri;Stephen C. McKinley

  • An Exemplar-Based Random Walk Model of Speeded Classification

    Robert M. Nosofsky;Thomas J. Palmeri

  • Choice, similarity, and the context theory of classification.

    Robert M. Nosofsky

  • Exemplar-Based Accounts of Relations Between Classification, Recognition, and Typicality

    Robert M. Nosofsky

  • Similarity, frequency, and category representations.

    Robert M. Nosofsky

  • Attention and learning processes in the identification and categorization of integral stimuli.

    Robert M. Nosofsky

  • Similarity Scaling and Cognitive Process Models

    Robert M. Nosofsky

  • Comparing decision bound and exemplar models of categorization

    W. Todd Maddox;F. Gregory Ashby

  • Comparing modes of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961)

    Robert M. Nosofsky;Mark A. Gluck;Thomas J. Palmeri;Stephen C. Mckinley

  • Tests of an exemplar model for relating perceptual classification and recognition memory

    Robert M. Nosofsky

  • Combining exemplar-based category representations and connectionist learning rules.

    Robert M. Nosofsky;John K. Kruschke;Stephen C. McKinley

  • Dissociations Between Categorization and Recognition in Amnesic and Normal Individuals: An Exemplar-Based Interpretation

    Robert M. Nosofsky;Safa R. Zaki

  • Exemplar-based accounts of "multiple-system" phenomena in perceptual categorization.

    Robert M. Nosofsky;Mark K. Johansen

  • Rules and exemplars in categorization, identification, and recognition

    Robert M. Nosofsky;Steven E. Clark;Hyun Jung Shin

  • Exemplar and prototype models revisited: response strategies, selective attention, and stimulus generalization.

    Robert M. Nosofsky;Safa R. Zaki

  • Seven plus or minus two: A commentary on capacity limitations

    Richard M. Shiffrin;Robert M. Nosofsky

  • Predicting similarity and categorization from identification.

    F. Gregory Ashby;W. William Lee

  • Exemplars, prototypes, and similarity rules.

    Robert M. Nosofsky

  • On the dominance of unidimensional rules in unsupervised categorization.

    F. Gregory Ashby;Sarah Queller;Patricia M. Berretty

Frequent Co-Authors

Mark A. McDaniel
Mark A. McDaniel Washington University in St. Louis
Richard M. Shiffrin
Richard M. Shiffrin Indiana University
Chris Donkin
Chris Donkin Ludwig-Maximilians-Universität München
Thomas J. Palmeri
Thomas J. Palmeri Vanderbilt University
John K. Kruschke
John K. Kruschke Indiana University
Robert L. Goldstone
Robert L. Goldstone Indiana University
Richard M. McFall
Richard M. McFall Indiana University
Richard J. Viken
Richard J. Viken Indiana University
Frederick W. Unverzagt
Frederick W. Unverzagt Indiana University
Ben R. Newell
Ben R. Newell University of New South Wales

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