2026 Mark A. Pitt: Social Sciences and Humanities Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Social Sciences and Humanities	44	4144	3826	1973	1790	148	8212
Engineering and Technology	40	7267	7014	1984	1838	132	7109

Overview

Mark A. Pitt is affiliated with The Ohio State University in the United States and has contributed extensively to research in neuroscience and computer science. Their work spans multiple subfields including cognitive neuroscience, artificial intelligence, materials chemistry, statistics and probability, and general decision sciences.

Their research addresses a range of main topics, such as neural and behavioral psychology studies, decision-making and behavioral economics, machine learning in materials science, behavioral health and interventions, advanced multi-objective optimization algorithms, carbon nanotubes in composites, and Gaussian processes and Bayesian inference.

Mark A. Pitt has published frequently in several academic venues, with notable contributions to:

Behavior Research Methods
Cognitive Psychology
Scientific Reports
Journal of Experimental Psychology General
Digital Discovery

They have collaborated with multiple researchers on various projects, including frequent coauthors:

Jay I. Myung (13 joint publications)
Jorge Chang (5 joint publications)
Benji Maruyama (5 joint publications)
Woo-Young Ahn (4 joint publications)
Ran Zhou (4 joint publications)

Some of their recent papers include:

"Radical surgery versus organ preservation via short-course radiotherapy followed by transanal endoscopic microsurgery for early-stage rectal cancer (TREC): a randomised, open-label feasibility study," 2020, The Lancet. Gastroenterology & hepatology
"Toward autonomous additive manufacturing: Bayesian optimization on a 3D printer," 2021, MRS Bulletin
"Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization," 2020, Scientific Reports
"Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm," 2020, Scientific Reports
"Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis," 2020, Clinical Psychological Science

Best Publications

Toward a method of selecting among computational models of cognition.

Mark A. Pitt;In Jae Myung;Shaobo Zhang

670
Citations
When a good fit can be bad.

Mark A. Pitt;In Jae Myung

553
Citations
Applying Occam’s razor in modeling cognition: A Bayesian approach

In Jae Myung;Mark A. Pitt

547
Citations
Advances in Minimum Description Length: Theory and Applications

Peter D. Grünwald;In Jae Myung;Mark A. Pitt

449
Citations
The Buckeye corpus of conversational speech: labeling conventions and a test of transcriber reliability

Mark A. Pitt;Keith Johnson;Elizabeth Hume;Scott F. Kiesling

425
Citations
Is Compensation for Coarticulation Mediated by the Lexicon

Mark A. Pitt;James M. McQueen

316
Citations
Altering Context Speech Rate Can Cause Words to Appear or Disappear

Laura C. Dilley;Mark A. Pitt

257
Citations
Counting probability distributions: Differential geometry and model selection

In Jae Myung;Vijay Balasubramanian;Mark A. Pitt

251
Citations
The use of rhythm in attending to speech.

Mark A. Pitt;Arthur G. Samuel

209
Citations
Adaptive design optimization: A mutual information-based approach to model discrimination in cognitive science

Daniel R. Cavagnaro;Jay I. Myung;Mark A. Pitt;Janne V. Kujala

208
Citations
Phonological processes and the perception of phonotactically illegal consonant clusters

Mark A. Pitt

196
Citations
Global model analysis by parameter space partitioning.

Mark A. Pitt;Woojae Kim;Daniel J. Navarro;Jay I. Myung

179
Citations
Optimal experimental design for model discrimination.

Jay I. Myung;Mark A. Pitt

179
Citations
Toward an explanation of the power law artifact: insights from response surface analysis.

In Jae Myung;Cheongtag Kim;Mark A. Pitt

177
Citations
Perception of pitch and timbre by musically trained and untrained listeners.

Mark A. Pitt

174
Citations
Model selection by normalized maximum likelihood

Jay I. Myung;Daniel J. Navarro;Mark A. Pitt

168
Citations
Lexical activation (and other factors) can mediate compensation for coarticulation

Arthur G. Samuel;Mark A. Pitt

158
Citations
A Tutorial on Adaptive Design Optimization.

Jay I. Myung;Daniel R. Cavagnaro;Mark A. Pitt

151
Citations
An empirical and meta-analytic evaluation of the phoneme identification task.

Mark A. Pitt;Arthur G. Samuel

150
Citations
Exploring the role of exposure frequency in recognizing pronunciation variants.

Mark A. Pitt;Laura Dilley;Michael Tat

141
Citations
A study of regressive place assimilation in spontaneous speech and its implications for spoken word recognition

Laura C. Dilley;Mark A. Pitt

134
Citations
Lexical and Sublexical Feedback in Auditory Word Recognition

Mark A. Pitt;Arthur G. Samuel

133
Citations

Frequent Co-Authors

Zhong-Lin Lu New York University Shanghai

Arthur G. Samuel Stony Brook University

J. Devin McAuley Michigan State University

Keith A. Johnson Harvard University

James M. McQueen Radboud University

Robert G. Crowder Yale University

Richard Gonzalez University of Michigan–Ann Arbor

Mark Steyvers University of California, Irvine

Byoung-Tak Zhang Seoul National University

Susan Nittrouer University of Florida

External Links

Personal website of Mark A. Pitt Google Scholar page

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