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D-Index & Metrics

Social Sciences and Humanities

D-Index
55
Citations
16054
World Ranking
1989
National Ranking
147

Overview

Scott D. Brown is affiliated with the University of Newcastle Australia in Australia. Their research intersects multiple disciplines with a primary focus on cognitive processes, decision-making, and human interaction with automation. The scientist's work explores diverse aspects of psychology and systems engineering, spanning topics from neural and behavioral psychology studies to mental health and environmental communication.

Brown has contributed to several prominent research areas, including:

  • Cognitive Neuroscience
  • Control and Systems Engineering
  • Social Psychology
  • General Decision Sciences
  • General Health Professions

The main topics covered in their publications reflect a broad engagement with both theoretical and applied aspects:

  • Neural and Behavioral Psychology Studies
  • Decision-Making and Behavioral Economics
  • Human-Automation Interaction and Safety
  • Mental Health Research Topics
  • Environmental Education and Sustainability
  • Climate Change Communication and Perception
  • Patient-Provider Communication in Healthcare

The scientist has authored and co-authored papers published in notable venues, frequently contributing to:

  • arXiv (Cornell University)
  • In Practice
  • Psychonomic Bulletin & Review
  • Psychological Methods
  • Behavior Research Methods

Several recent papers showcase the scope and focus of Brown's research, such as:

  • How is multi-tasking different from increased difficulty? (2020, Psychonomic Bulletin & Review)
  • The Effects of Increased Visual Information on Cognitive Workload in a Helicopter Simulator (2020, Human Factors The Journal of the Human Factors and Ergonomics Society)
  • Time-evolving psychological processes over repeated decisions. (2022, Psychological Review)
  • Socioeconomic factors and parents' preferences for internet- and mobile-based parenting interventions to prevent youth mental health problems: A discrete choice experiment (2022, Internet Interventions)
  • Unraveling the Physiological Correlates of Mental Workload Variations in Tracking and Collision Prediction Tasks (2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering)

Frequent collaborators in Brown's work include:

  • Guy E. Hawkins
  • Ami Eidels
  • David Gunawan
  • Robert Kohn
  • Minh-Ngoc Tran

Best Publications

  • Diffusion Decision Model: Current Issues and History

    Roger Ratcliff;Philip L. Smith;Scott D. Brown;Gail McKoon

  • 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

  • Striatum and pre-SMA facilitate decision-making under time pressure

    Birte U. Forstmann;Gilles Dutilh;Scott Brown;Jane Neumann

  • A simple introduction to Markov Chain Monte-Carlo sampling.

    Don van Ravenzwaaij;Don van Ravenzwaaij;Pete Cassey;Scott D. Brown

  • Cortico-striatal connections predict control over speed and accuracy in perceptual decision making

    Birte U. Forstmann;Alfred Anwander;Andreas Schäfer;Jane Neumann

  • On the linear relation between the mean and the standard deviation of a response time distribution.

    Eric-Jan Wagenmakers;Scott Brown

  • Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making

    Guy E. Hawkins;Birte U. Forstmann;Eric-Jan Wagenmakers;Roger Ratcliff

  • A method for efficiently sampling from distributions with correlated dimensions

    Brandon M. Turner;Per B. Sederberg;Scott D. Brown;Mark Steyvers

  • 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 speed-accuracy tradeoff in the elderly brain: a structural model-based approach.

    Birte U. Forstmann;Marc Tittgemeyer;Eric-Jan Wagenmakers;Jan Derrfuss

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

    Babette Rae;Andrew Heathcote;Chris Donkin;Lee Averell

  • Domain general mechanisms of perceptual decision making in human cortex.

    Tiffany C. Ho;Scott Brown;John T. Serences

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

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

  • A purely confirmatory replication study of structural brain-behavior correlations

    Wouter Boekel;Eric-Jan Wagenmakers;Luam Belay;Josine Verhagen

  • A Bayesian framework for simultaneously modeling neural and behavioral data

    Brandon M. Turner;Birte U. Forstmann;Eric-Jan Wagenmakers;Scott D. Brown

  • Neural Correlates of Trial-to-Trial Fluctuations in Response Caution

    L. van Maanen;S.D. Brown;T. Eichele;E.-J. Wagenmakers

  • Fitting distributions using maximum likelihood: methods and packages

    Denis Cousineau;Scott Brown;Andrew Heathcote

Frequent Co-Authors

Andrew Heathcote
Andrew Heathcote University of Newcastle Australia
Eric-Jan Wagenmakers
Eric-Jan Wagenmakers University of Amsterdam
Chris Donkin
Chris Donkin Ludwig-Maximilians-Universität München
Birte U. Forstmann
Birte U. Forstmann University of Amsterdam
John T. Serences
John T. Serences University of California, San Diego
Tiffany C. Ho
Tiffany C. Ho University of California, San Francisco
Frini Karayanidis
Frini Karayanidis University of Newcastle Australia
Roger Ratcliff
Roger Ratcliff The Ohio State University
Gordon D. Logan
Gordon D. Logan Vanderbilt University
Blake W. Johnson
Blake W. Johnson Macquarie University

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