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Psychology

D-Index
38
Citations
7140
World Ranking
8806
National Ranking
891

Overview

Emmanuel M. Pothos is affiliated with City, University of London in the United Kingdom. The research spans fields primarily related to Physics and Astronomy, with a notable presence in subfields such as Atomic and Molecular Physics, and Optics; Artificial Intelligence; General Decision Sciences; Statistical and Nonlinear Physics; and Cognitive Neuroscience.

Their work is concentrated on main topics including Quantum Mechanics and Applications, Decision-Making and Behavioral Economics, Quantum Information and Cryptography, Behavioral Health and Interventions, Forecasting Techniques and Applications, Complex Systems and Time Series Analysis, and Bayesian Modeling and Causal Inference.

Frequent research collaborators include Paweł Błasiak, James M. Yearsley, Christoph Gallus, Jerome R. Busemeyer, and B. W. Wojciechowski.

Publications have appeared regularly in several venues, with multiple contributions to Entropy, arXiv (Cornell University), Decision, Topics in Cognitive Science, and Scientific Reports.

Recent papers authored or coauthored by Emmanuel M. Pothos highlight key research themes:

  • Quantum Cognition, 2021, Annual Review of Psychology
  • Information overload for (bounded) rational agents, 2021, Proceedings of the Royal Society B Biological Sciences
  • Violations of locality and free choice are equivalent resources in Bell experiments, 2021, Proceedings of the National Academy of Sciences
  • Top-down and bottom-up attentional biases for smoking-related stimuli: Comparing dependent and non-dependent smokers, 2021, Addictive Behaviors
  • Quantum Circuit Components for Cognitive Decision-Making, 2023, Entropy

The research threads reflect a strong emphasis on the intersection of quantum theory with cognition and decision-making processes, as well as broader applications in behavioral economics and cognitive neuroscience.

Best Publications

  • The addiction-stroop test: Theoretical considerations and procedural recommendations.

    W. Miles Cox;Javad Salehi Fadardi;Emmanuel M. Pothos

  • A quantum probability explanation for violations of ‘rational’ decision theory

    Emmanuel M. Pothos;Jerome R. Busemeyer

  • A Quantum Theoretical Explanation for Probability Judgment Errors.

    Jerome R. Busemeyer;Emmanuel M. Pothos;Riccardo Franco;Jennifer S. Trueblood

  • Can quantum probability provide a new direction for cognitive modeling

    Emmanuel M. Pothos;Jerome R. Busemeyer

  • Theories of artificial grammar learning.

    Emmanuel M. Pothos

  • A simplicity principle in unsupervised human categorization

    Emmanuel M. Pothos;Nick Chater

  • The Potential of Using Quantum Theory to Build Models of Cognition

    Zheng Wang;Jerome R. Busemeyer;Harald Atmanspacher;Emmanuel M. Pothos

  • The rules versus similarity distinction.

    Emmanuel M. Pothos

  • Formal approaches in categorization

    Emmanuel M. Pothos;Andy J. Wills

  • Cognitive biases to healthy and unhealthy food words predict change in BMI.

    Raff Calitri;Emmanuel M. Pothos;Katy Tapper;Jeffrey M. Brunstrom

  • The role of similarity in artificial grammar learning.

    Emmanuel M. Pothos;Todd M. Bailey

  • A quantum geometric model of similarity.

    Emmanuel M. Pothos;Jerome R. Busemeyer;Jennifer S. Trueblood

  • Cognitive-motivational predictors of excessive drinkers’ success in changing

    W. Miles Cox;Emmanuel M. Pothos;Steven G. Hosier

  • On the adequacy of current empirical evaluations of formal models of categorization.

    Andy J. Wills;Emmanuel M. Pothos

  • Feast Your Eyes: Hunger and Trait Reward Drive Predict Attentional Bias for Food Cues

    Katy Tapper;Emmanuel M. Pothos;Andrew David Lawrence

  • So concepts aren't definitions, but do they have necessary or sufficient features?

    Emmanuel M. Pothos;Ulrike Hahn

  • Understanding cooperation in the Prisoner's Dilemma game

    Emmanuel M. Pothos;Gavin Perry;Philip J. Corr;Mervin R. Matthew

  • Estimating everyday portion size using a 'method of constant stimuli': in a student sample, portion size is predicted by gender, dietary behaviour, and hunger, but not BMI.

    Jeffrey M. Brunstrom;Peter J. Rogers;Emmanuel M. Pothos;Raff Calitri

  • One or two dimensions in spontaneous classification: a simplicity approach.

    Emmanuel M. Pothos;James Close

  • Restraint, disinhibition and food-related processing bias.

    Katy Tapper;Emmanuel M. Pothos;Javad S. Fadardi;Javad S. Fadardi;Eleni Ziori

  • Understanding developmental language disorder-The Helsinki longitudinal SLI study (HelSLI): A study protocol

    Marja Laasonen;Marja Laasonen;Sini Smolander;Sini Smolander;Pekka Lahti-Nuuttila;Miika Leminen

Frequent Co-Authors

Jerome R. Busemeyer
Jerome R. Busemeyer Indiana University
Katy Tapper
Katy Tapper City, University of London
Nick Chater
Nick Chater University of Warwick
Ulrike Hahn
Ulrike Hahn Birkbeck, University of London
W. Miles Cox
W. Miles Cox Bangor University
Joseph Tzelgov
Joseph Tzelgov Ben-Gurion University of the Negev
Richard M. Shiffrin
Richard M. Shiffrin Indiana University
Jeffrey M. Brunstrom
Jeffrey M. Brunstrom University of Bristol
Martin A. Conway
Martin A. Conway City, University of London
Axel Cleeremans
Axel Cleeremans Université Libre de Bruxelles

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