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D-Index & Metrics

Psychology

D-Index
48
Citations
24041
World Ranking
5780
National Ranking
3127

Overview

Tal Yarkoni is affiliated with The University of Texas at Austin in the United States. Their research spans multiple fields including Radiology, Nuclear Medicine and Imaging; Cognitive Neuroscience; Artificial Intelligence; Experimental and Cognitive Psychology; and Statistics, Probability and Uncertainty.

The scientist's recent publications cover diverse topics and appear in various academic venues. Some notable papers include:

  • Integrating explanation and prediction in computational social science (2021, Nature)
  • Analysis of task-based functional MRI data preprocessed with fMRIPrep (2020, Nature Protocols)
  • Descriptive, Predictive and Explanatory Personality Research: Different Goals, Different Approaches, but a Shared Need to Move beyond the Big Few Traits (2020, European Journal of Personality)
  • Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis (2021, Organizational Behavior and Human Decision Processes)
  • Putting the Self in Self-Correction: Findings From the Loss-of-Confidence Project (2021, Perspectives on Psychological Science)

Tal Yarkoni's work has been published frequently in the following venues:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Aperture Neuro
  • eLife
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature

Frequent co-authors collaborating with Tal Yarkoni include:

  • James D. Kent
  • Taylor Salo
  • Yaroslav O. Halchenko
  • Thomas E. Nichols
  • Jean-Baptiste Poline

The main topics reflected in Tal Yarkoni's body of work are:

  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • Explainable Artificial Intelligence (XAI)
  • Mental Health Research Topics
  • Computational and Text Analysis Methods
  • Scientometrics and Bibliometrics Research

Best Publications

  • Large-scale automated synthesis of human functional neuroimaging data

    Tal Yarkoni;Russell A Poldrack;Thomas E Nichols;David C Van Essen

  • Promoting an open research culture

    B. A. Nosek;G. Alter;G. C. Banks;D. Borsboom

  • Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning:

    Tal Yarkoni;Jacob Westfall

  • Scanning the horizon: towards transparent and reproducible neuroimaging research

    Russell A. Poldrack;Chris I. Baker;Joke Durnez;Krzysztof J. Gorgolewski

  • Decoding the Role of the Insula in Human Cognition: Functional Parcellation and Large-Scale Reverse Inference

    Luke J. Chang;Tal Yarkoni;Mel Win Khaw;Alan G. Sanfey;Alan G. Sanfey

  • Moving beyond Coltheart’s N: A new measure of orthographic similarity

    Tal Yarkoni;David Balota;Melvin Yap

  • Personality in 100,000 Words: A large-scale analysis of personality and word use among bloggers

    Tal Yarkoni

  • Ten simple rules for neuroimaging meta-analysis.

    Veronika I. Müller;Edna C. Cieslik;Angela R. Laird;Peter T. Fox

  • Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence

    Michael W. Cole;Tal Yarkoni;Grega Repovš;Alan Anticevic

  • The generalizability crisis.

    Tal Yarkoni

  • NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain

    Krzysztof J. Gorgolewski;Krzysztof J. Gorgolewski;Gael Varoquaux;Gabriel Rivera;Yannick Schwarz

  • Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power-Commentary on Vul et al. (2009).

    Tal Yarkoni

  • Statistically Controlling for Confounding Constructs Is Harder than You Think

    Jacob Westfall;Tal Yarkoni

  • Justify your alpha

    Daniel Lakens;Federico G. Adolfi;Federico G. Adolfi;Casper J. Albers;Farid Anvari

  • From Brain Maps to Cognitive Ontologies: Informatics and the Search for Mental Structure.

    Russell A Poldrack;Tal Yarkoni

  • The relation between statistical power and inference in fMRI.

    Henk R. Cremers;Tor D. Wager;Tal Yarkoni

  • BOLD Correlates of Trial-by-Trial Reaction Time Variability in Gray and White Matter: A Multi-Study fMRI Analysis

    Tal Yarkoni;M Deanna;Jeremy R. Gray;Thomas E. Conturo

  • Contributions of episodic retrieval and mentalizing to autobiographical thought: evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses

    Jessica R. Andrews-Hanna;Rebecca Saxe;Tal Yarkoni

  • Large-Scale Meta-Analysis of Human Medial Frontal Cortex Reveals Tripartite Functional Organization

    Alejandro de la Vega;Luke J. Chang;Marie T. Banich;Tor D. Wager

  • Integrating explanation and prediction in computational social science.

    Jake M Hofman;Duncan J Watts;Susan Athey;Filiz Garip

  • Affective personality differences in neural processing efficiency confirmed using fMRI

    Jeremy R. Gray;Gregory C. Burgess;Alexandre Schaefer;Tal Yarkoni

Frequent Co-Authors

Todd S. Braver
Todd S. Braver Washington University in St. Louis
Jeremy R. Gray
Jeremy R. Gray Michigan State University
David A. Balota
David A. Balota Washington University in St. Louis
Deanna M. Barch
Deanna M. Barch Washington University in St. Louis
Marcus R. Munafò
Marcus R. Munafò University of Bath
Brian A. Nosek
Brian A. Nosek Center for Open Science
Simine Vazire
Simine Vazire University of Melbourne
Marie T. Banich
Marie T. Banich University of Colorado Boulder
Jessica R. Andrews-Hanna
Jessica R. Andrews-Hanna University of Arizona
Leonard Green
Leonard Green Washington University in St. Louis

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