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Robert M. Nosofsky

Robert M. Nosofsky

D-Index & Metrics

Psychology

D-Index
63
Citations
20630
World Ranking
3070
National Ranking
1747

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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