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D-Index & Metrics

Social Sciences and Humanities

D-Index
60
Citations
15288
World Ranking
1451
National Ranking
108

Overview

Andrew Heathcote is affiliated with the University of Newcastle Australia and has a body of work primarily positioned within neuroscience and psychology. Their research emphasizes cognitive neuroscience and experimental and cognitive psychology, with significant contributions to general decision sciences and social psychology. Artificial intelligence is also among their explored subfields.

Their recent papers include:

  • "Winner Takes All! What Are Race Models, and Why and How Should Psychologists Use Them?" (2022, Current Directions in Psychological Science)
  • "Racing against the clock: Evidence-based versus time-based decisions." (2021, Psychological Review)
  • "A new model of decision processing in instrumental learning tasks" (2021, eLife)
  • "Urgency, leakage, and the relative nature of information processing in decision-making." (2020, Psychological Review)
  • "Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop-signal task" (2020, Psychophysiology)

Their frequent co-authors include:

  • Dóra Matzke
  • Luke Strickland
  • Russell J. Boag
  • Birte U. Forstmann
  • Shayne Loft

Andrew Heathcote's research appears often in several publication venues, notably:

  • Psychological Review
  • Computational Brain & Behavior
  • Psychonomic Bulletin & Review
  • Frontiers in Psychology
  • bioRxiv (Cold Spring Harbor Laboratory)

Their main research interests cover a range of topics such as:

  • Neural and Behavioral Psychology Studies
  • Decision-Making and Behavioral Economics
  • Human-Automation Interaction and Safety
  • Cognitive Functions and Memory
  • Cognitive Abilities and Testing
  • EEG and Brain-Computer Interfaces
  • Memory Processes and Influences

Within these areas, they have contributed to understanding the mechanisms underlying decision processing, the interaction of neural signals with behavioral outcomes, and the cognitive dynamics of learning and inhibition. The integration of behavioral economics into neural and cognitive frameworks is apparent in their body of work, as is their interest in human interaction with automated systems and related safety issues.

Best Publications

  • The Simplest Complete Model of Choice Response Time: Linear Ballistic Accumulation.

    Scott D. Brown;Andrew Heathcote

  • The power law repealed: the case for an exponential law of practice.

    Andrew Heathcote;Scott Brown;D. J. K. Mewhort

  • A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task

    Frederick Verbruggen;Adam R. Aron;Guido Ph Band;Christian Beste

  • Analysis of Response Time Distributions: An Example Using the Stroop Task

    Andrew Heathcote;Stephen J. Popiel;D. J. K. Mewhort

  • Not Just for Consumers Context Effects Are Fundamental to Decision Making

    Jennifer S. Trueblood;Scott D. Brown;Andrew Heathcote;Jerome R. Busemeyer

  • The multiattribute linear ballistic accumulator model of context effects in multialternative choice.

    Jennifer S. Trueblood;Scott D. Brown;Andrew Heathcote

  • Quantile maximum likelihood estimation of response time distributions.

    A. Heathcote;Scott David Brown;D. J. K. Mewhort

  • A ballistic model of choice response time.

    Scott Brown;Andrew Heathcote

  • The form of the forgetting curve and the fate of memories

    Lee Averell;Andrew Heathcote

  • When the Brain Takes a Break: A Model-Based Analysis of Mind Wandering

    Matthias Mittner;Wouter Boekel;Adrienne M. Tucker;Brandon M. Turner

  • The hare and the tortoise: emphasizing speed can change the evidence used to make decisions.

    Babette Rae;Andrew Heathcote;Chris Donkin;Lee Averell

  • Diffusion versus linear ballistic accumulation: different models but the same conclusions about psychological processes?

    Chris Donkin;Scott Brown;Andrew Heathcote;Eric-Jan Wagenmakers

  • Fitting distributions using maximum likelihood: methods and packages

    Denis Cousineau;Scott Brown;Andrew Heathcote

  • Electrophysiological correlates of anticipatory task-switching processes

    Rebecca Nicholson;Frini Karayanidis;Dane Poboka;Andrew Heathcote

  • Item recognition memory and the receiver operating characteristic

    Andrew Heathcote

  • Advance preparation in task-switching: converging evidence from behavioral, brain activation, and model-based approaches

    Frini Karayanidis;Sharna Jamadar;Hannes Ruge;Natalie A Phillips

  • Distinguishing common and task-specific processes in word identification: A matter of some moment?

    Sally Andrews;Andrew Heathcote

  • The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models

    Gilles Dutilh;Jeffrey Annis;Scott D. Brown;Peter Cassey

  • QMPE: estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound.

    Andrew Heathcote;Scott Brown;Denis Cousineau

  • Dynamic models of choice

    Andrew Heathcote;Yi-Shin Lin;Angus Reynolds;Luke Strickland

  • The overconstraint of response time models: rethinking the scaling problem.

    Christopher Donkin;Scott D. Brown;Andrew Heathcote

Frequent Co-Authors

Scott D. Brown
Scott D. Brown University of Newcastle Australia
Chris Donkin
Chris Donkin Ludwig-Maximilians-Universität München
Frini Karayanidis
Frini Karayanidis University of Newcastle Australia
Patricia T. Michie
Patricia T. Michie University of Newcastle Australia
Birte U. Forstmann
Birte U. Forstmann University of Amsterdam
David L. Strayer
David L. Strayer University of Utah
Juanita Todd
Juanita Todd University of Newcastle Australia
Eric-Jan Wagenmakers
Eric-Jan Wagenmakers University of Amsterdam
Richard D. Morey
Richard D. Morey Cardiff University
Gordon D. Logan
Gordon D. Logan Vanderbilt University

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