H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Psychology D-index 30 Citations 4,957 96 World Ranking 7812 National Ranking 75

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Cognition
  • Artificial intelligence

Peter Juslin spends much of his time researching Cognition, Overconfidence effect, General knowledge, Social psychology and Cognitive psychology. His Cognition study frequently draws connections between related disciplines such as Artificial intelligence. His Overconfidence effect research includes themes of Hard–easy effect, Cognitive bias, Ecological psychology and Econometrics.

The concepts of his General knowledge study are interwoven with issues in Calibration and Statistics. His studies in Social psychology integrate themes in fields like Phenomenon and Perception. His Cognitive psychology research includes elements of Abstraction and Memoria.

His most cited work include:

  • Naive empiricism and dogmatism in confidence research: a critical examination of the hard-easy effect. (273 citations)
  • The Overconfidence Phenomenon as a Consequence of Informal Experimenter-Guided Selection of Almanac Items (258 citations)
  • Calibration and diagnosticity of confidence in eyewitness identification: Comments on what can be inferred from the low confidence-accuracy correlation (186 citations)

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

His primary scientific interests are in Cognition, Cognitive psychology, Social psychology, Statistics and Artificial intelligence. His Cognition research is multidisciplinary, incorporating elements of Cognitive science, Overconfidence effect and Sensory system. He works mostly in the field of Overconfidence effect, limiting it down to topics relating to General knowledge and, in certain cases, Realism, as a part of the same area of interest.

His Cognitive psychology study incorporates themes from Abstraction, Psychophysics, Perception and Categorization. His Social psychology study combines topics in areas such as Contingency, Contrast, Phenomenon and Normative. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Heuristics.

He most often published in these fields:

  • Cognition (33.97%)
  • Cognitive psychology (33.33%)
  • Social psychology (28.85%)

What were the highlights of his more recent work (between 2014-2021)?

  • Social psychology (28.85%)
  • Cognition (33.97%)
  • Cognitive psychology (33.33%)

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

Social psychology, Cognition, Cognitive psychology, Confirmation bias and Artificial intelligence are his primary areas of study. In general Social psychology, his work in Affect is often linked to Efficient energy use linking many areas of study. Peter Juslin studied Cognition and Perception that intersect with Developmental psychology.

His work deals with themes such as Preference and Personality, which intersect with Cognitive psychology. He interconnects Jurisprudence and Debiasing in the investigation of issues within Confirmation bias. His research integrates issues of Machine learning and Natural language processing in his study of Artificial intelligence.

Between 2014 and 2021, his most popular works were:

  • The presumption of guilt in suspect interrogations: Apprehension as a trigger of confirmation bias and debiasing techniques. (7 citations)
  • Prospect evaluation as a function of numeracy and probability denominator. (7 citations)
  • Preference or ability: Exploring the relations between risk preference, personality, and cognitive abilities (6 citations)

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

  • Statistics
  • Cognition
  • Artificial intelligence

Peter Juslin mainly investigates Social psychology, Heuristics, Statistics, Cognition and Debiasing. His work on Social psychology as part of general Social psychology research is frequently linked to Energy consumption, thereby connecting diverse disciplines of science. His Heuristics study combines topics from a wide range of disciplines, such as Variety, Artificial intelligence, Machine learning and Probability theory.

His Cumulative prospect theory, Expected value, Predictive validity and Value study in the realm of Statistics interacts with subjects such as Numeracy. His study in Cognition is interdisciplinary in nature, drawing from both Cognitive psychology, Preference, Personality and Normative. His research in Debiasing intersects with topics in Interrogation, Jurisprudence, Criminology and Confirmation bias.

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

Naive empiricism and dogmatism in confidence research: a critical examination of the hard-easy effect.

Peter Juslin;Anders Winman;Henrik Olsson.
Psychological Review (2000)

512 Citations

The Overconfidence Phenomenon as a Consequence of Informal Experimenter-Guided Selection of Almanac Items

Peter Juslin.
Organizational Behavior and Human Decision Processes (1994)

391 Citations

Calibration and diagnosticity of confidence in eyewitness identification: Comments on what can be inferred from the low confidence-accuracy correlation

Peter Juslin;Nils Olsson;Anders Winman.
Journal of Experimental Psychology: Learning, Memory and Cognition (1996)

341 Citations

Visual perception of dynamic properties: cue heuristics versus direct-perceptual competence.

Sverker Runeson;Peter Juslin;Henrik Olsson.
Psychological Review (2000)

285 Citations

Realism of confidence in sensory discrimination: the underconfidence phenomenon.

Mats Björkman;Peter Juslin;Anders Winman.
Attention Perception & Psychophysics (1993)

280 Citations

Thurstonian and Brunswikian origins of uncertainty in judgment: a sampling model of confidence in sensory discrimination.

Peter Juslin;Henrik Olsson.
Psychological Review (1997)

268 Citations

Exemplar effects in categorization and multiple-cue judgment

Peter Juslin;Henrik Olsson;Anna-Carin Olsson.
Journal of Experimental Psychology: General (2003)

260 Citations

PROBabilities from EXemplars (PROBEX): a "lazy" algorithm for probabilistic inference from generic knowledge

Peter Juslin;Magnus Persson.
Cognitive Science (2002)

240 Citations

The naïve intuitive statistician: a naïve sampling model of intuitive confidence intervals.

Peter Juslin;Anders Winman;Patrik Hansson.
Psychological Review (2007)

171 Citations

Information Sampling and Adaptive Cognition

Klaus Fiedler;Peter Juslin.
(2005)

170 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Peter Juslin

Jörg Rieskamp

Jörg Rieskamp

University of Basel

Publications: 33

Ralph Hertwig

Ralph Hertwig

Max Planck Society

Publications: 26

Ben R. Newell

Ben R. Newell

UNSW Sydney

Publications: 22

Asher Koriat

Asher Koriat

University of Haifa

Publications: 22

Gerd Gigerenzer

Gerd Gigerenzer

Max Planck Society

Publications: 22

David V. Budescu

David V. Budescu

Fordham University

Publications: 18

Pär Anders Granhag

Pär Anders Granhag

University of Gothenburg

Publications: 18

Neil Brewer

Neil Brewer

Flinders University

Publications: 18

Nick Chater

Nick Chater

University of Warwick

Publications: 16

Gary L. Wells

Gary L. Wells

Iowa State University

Publications: 16

Don A. Moore

Don A. Moore

University of California, Berkeley

Publications: 16

John T. Wixted

John T. Wixted

University of California, San Diego

Publications: 15

David R. Shanks

David R. Shanks

University College London

Publications: 14

Robin M. Hogarth

Robin M. Hogarth

Pompeu Fabra University

Publications: 14

Lazar Stankov

Lazar Stankov

University of Sydney

Publications: 13

Ulrike Hahn

Ulrike Hahn

Birkbeck, University of London

Publications: 13

Something went wrong. Please try again later.