2026 Thomas E. Nichols: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	110	534	484	67	63	474	99999

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Neuroscience

110

534

484

474

99999

Research.com Recognitions

2012 - Fellow of the American Statistical Association (ASA)

Overview

Thomas E. Nichols is affiliated with the University of Oxford in the United Kingdom. Their research primarily spans the fields of Medicine and Neuroscience, with significant contributions to subfields such as Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Statistics and Probability, Health, Toxicology and Mutagenesis, and Experimental and Cognitive Psychology.

The scientist's work covers a broad array of topics, including:

Functional Brain Connectivity Studies
Advanced Neuroimaging Techniques and Applications
Advanced MRI Techniques and Applications
Health, Environment, Cognitive Aging
Statistical Methods and Inference
Mental Health Research Topics
Genetic Associations and Epidemiology

Thomas E. Nichols has been involved as an author or co-author in important recent publications such as:

"Reproducible brain-wide association studies require thousands of individuals" (2022), published in Nature
"SARS-CoV-2 is associated with changes in brain structure in UK Biobank" (2022), published in Nature
"How patients with multiple sclerosis acquire disability" (2022), published in Brain
"Confound modelling in UK Biobank brain imaging" (2020), published in NeuroImage
"SARS-CoV-2 is associated with changes in brain structure in UK Biobank" (2021), published in bioRxiv (Cold Spring Harbor Laboratory)

The scientist frequently publishes in several venues, notably:

bioRxiv (Cold Spring Harbor Laboratory)
NeuroImage
arXiv (Cornell University)
Human Brain Mapping
Zenodo (CERN European Organization for Nuclear Research)

Co-authorship has featured prominently in their career, with frequent collaborators including Stephen M. Smith, Paul M. Thompson, Peter Kochunov, Karla L. Miller, and Anya Topiwala.

In recognition of their contributions, Thomas E. Nichols was awarded the title of Fellow of the American Statistical Association (ASA) in 2012.

Best Publications

Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

S M Smith;M Jenkinson;H Johansen-Berg;D Rueckert

7451
Citations
Nonparametric permutation tests for functional neuroimaging: A primer with examples

Thomas E. Nichols;Andrew P. Holmes

7043
Citations
Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference

Stephen M. Smith;Thomas E. Nichols;Thomas E. Nichols;Thomas E. Nichols

5752
Citations
Thresholding of statistical maps in functional neuroimaging using the false discovery rate.

Christopher R. Genovese;Nicole A. Lazar;Thomas E. Nichols

5547
Citations
Statistical Parametric Mapping: The Analysis of Functional Brain Images

W Penny;K Friston;J Ashburner;S Kiebel

4703
Citations
Large-scale automated synthesis of human functional neuroimaging data

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

4035
Citations
Permutation inference for the general linear model.

Anderson M. Winkler;Anderson M. Winkler;Anderson M. Winkler;Gerard R. Ridgway;Matthew A. Webster;Stephen M. Smith

3904
Citations
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates

Anders Eklund;Thomas E. Nichols;Hans Knutsson

3846
Citations
Reproducible brain-wide association studies require thousands of individuals

Unknown

2576
Citations
Network modelling methods for FMRI.

Stephen M. Smith;Karla L. Miller;Gholamreza Salimi-Khorshidi;Matthew Webster

2312
Citations
SARS-CoV-2 is associated with changes in brain structure in UK Biobank

Unknown

2264
Citations
Valid conjunction inference with the minimum statistic.

Thomas E. Nichols;Matthew Brett;Jesper L. R. Andersson;Tor D. Wager

2078
Citations
Statistical parametric mapping

Unknown

1817
Citations
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock

1768
Citations
Scanning the horizon: towards transparent and reproducible neuroimaging research

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

1534
Citations
Controlling the familywise error rate in functional neuroimaging: a comparative review:

Thomas E. Nichols;Satoru Hayasaka

1431
Citations
Variability in the analysis of a single neuroimaging dataset by many teams

Rotem Botvinik-Nezer;Rotem Botvinik-Nezer;Felix Holzmeister;Colin F. Camerer;Anna Dreber;Anna Dreber

1128
Citations
Functional connectomics from resting-state fMRI

S.M. Smith;D. Vidaurre;Christian Beckmann;Christian Beckmann;Christian Beckmann;M.F. Glasser

1087
Citations
Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis

Martine Hoogman;Janita Bralten;Derrek P. Hibar;Maarten Mennes

1012
Citations
Placebo Effects Mediated by Endogenous Opioid Activity on μ-Opioid Receptors

Jon Kar Zubieta;Joshua A. Bueller;Lisa R. Jackson;David J. Scott

1008
Citations
Handbook of Functional MRI Data Analysis

Russell A. Poldrack;Jeanette A. Mumford;Thomas E. Nichols

953
Citations
A positive-negative mode of population covariation links brain connectivity, demographics and behavior

S M Smith;T E Nichols;D Vidaurre;A M Winkler

940
Citations
Common genetic variants influence human subcortical brain structures.

Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

933
Citations