D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Psychology D-index 73 Citations 20,506 225 World Ranking 1351 National Ranking 840

Research.com Recognitions

Awards & Achievements

2017 - Fellow of the American Academy of Arts and Sciences

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Cognition

His primary areas of investigation include Cognition, Quantum probability, Artificial intelligence, Mathematical economics and Quantum cognition. His Cognition study integrates concerns from other disciplines, such as Developmental psychology, Cognitive psychology, Task and Clinical psychology. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning, Decision theory and A priori and a posteriori.

His Decision theory research is multidisciplinary, incorporating elements of Computerized adaptive testing, Stochastic modelling, Categorization, Optimal decision and Decision rule. Jerome R. Busemeyer works in the field of Mathematical economics, namely Decision field theory. In Quantum cognition, Jerome R. Busemeyer works on issues like Cognitive science, which are connected to Probabilistic logic, Quantum entanglement and Quantum information science.

His most cited work include:

  • Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment. (1424 citations)
  • Quantum Models of Cognition and Decision (565 citations)
  • Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. (405 citations)

What are the main themes of his work throughout his whole career to date?

Jerome R. Busemeyer spends much of his time researching Cognition, Artificial intelligence, Quantum probability, Cognitive psychology and Quantum cognition. The study incorporates disciplines such as Developmental psychology, Cognitive science and Task in addition to Cognition. As a part of the same scientific family, he mostly works in the field of Artificial intelligence, focusing on Decision theory and, on occasion, Decision rule.

His Cognitive psychology research focuses on Social psychology and how it relates to Stochastic game. His Quantum cognition study incorporates themes from Quantum computer, Theoretical computer science and Complementarity. His primary area of study in Mathematical economics is in the field of Decision field theory.

He most often published in these fields:

  • Cognition (25.53%)
  • Artificial intelligence (23.40%)
  • Quantum probability (19.15%)

What were the highlights of his more recent work (between 2015-2021)?

  • Quantum probability (19.15%)
  • Quantum (14.89%)
  • Artificial intelligence (23.40%)

In recent papers he was focusing on the following fields of study:

Jerome R. Busemeyer mostly deals with Quantum probability, Quantum, Artificial intelligence, Quantum cognition and Cognition. His work deals with themes such as Algorithm, Markov chain, Episodic memory and Hamiltonian method, which intersect with Quantum. His studies in Artificial intelligence integrate themes in fields like Machine learning, Task, Group decision-making and Communication.

His Quantum cognition research includes themes of Law of total probability, Cognitive science, Conjunction fallacy and Calculus. His Cognition research includes elements of Value and Cognitive psychology. His Cognitive psychology research is multidisciplinary, incorporating perspectives in Social psychology, Temporal discounting, Pleasure, Facial expression and Cognitive model.

Between 2015 and 2021, his most popular works were:

  • Cognitive and Neural Bases of Multi-Attribute, Multi-Alternative, Value-based Decisions. (44 citations)
  • Quantum cognition and decision theories: A tutorial (30 citations)
  • Neural implementation of operations used in quantum cognition. (20 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Artificial intelligence
  • Cognition

His main research concerns Quantum probability, Mathematical economics, Cognition, Markov model and Quantum. His studies deal with areas such as Cognitive science, Dutch book, Stochastic dominance and Heuristic as well as Mathematical economics. His Cognition research is multidisciplinary, relying on both Computational neuroscience and Cognitive psychology.

His Cognitive psychology research focuses on subjects like Ecological validity, which are linked to Cognitive model. His Quantum study combines topics in areas such as Algorithm, Statistics and Econometrics. As part of one scientific family, Jerome R. Busemeyer deals mainly with the area of Theoretical computer science, narrowing it down to issues related to the Quantum computer, and often Artificial intelligence.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Decision Field Theory: A Dynamic-Cognitive Approach to Decision Making in an Uncertain Environment.

Jerome R. Busemeyer;James T. Townsend.
Psychological Review (1993)

2244 Citations

Quantum Models of Cognition and Decision

Jerome R. Busemeyer;Peter D. Bruza.
(2012)

1090 Citations

Two-stage dynamic signal detection: a theory of choice, decision time, and confidence.

Timothy J. Pleskac;Jerome R. Busemeyer.
Psychological Review (2010)

684 Citations

Analysis of multiplicative combination rules when the causal variables are measured with error.

Jerome R. Busemeyer;Lawrence E. Jones.
Psychological Bulletin (1983)

631 Citations

A contribution of cognitive decision models to clinical assessment: Decomposing performance on the Bechara gambling task.

Jerome R. Busemeyer;Julie C. Stout.
Psychological Assessment (2002)

566 Citations

Quantum Models of Cognition and Decision: Frontmatter

Jerome R. Busemeyer;Peter D. Bruza.
(2012)

564 Citations

Quantum dynamics of human decision-making

Jerome R. Busemeyer;Zheng Wang;James T. Townsend.
Journal of Mathematical Psychology (2006)

545 Citations

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

Emmanuel M. Pothos;Jerome R. Busemeyer.
Proceedings of The Royal Society B: Biological Sciences (2009)

532 Citations

A Quantum Theoretical Explanation for Probability Judgment Errors.

Jerome R. Busemeyer;Emmanuel M. Pothos;Riccardo Franco;Jennifer S. Trueblood.
Psychological Review (2011)

521 Citations

Can quantum probability provide a new direction for cognitive modeling

Emmanuel M. Pothos;Jerome R. Busemeyer.
Behavioral and Brain Sciences (2013)

455 Citations

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