2026 Danilo Bzdok: Neuroscience Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Neuroscience	67	2860	2615	167	149	246	18758

Overview

Danilo Bzdok is affiliated with the Montreal Neurological Institute and Hospital in Canada. Their research spans the fields of neuroscience and medicine, with a particular focus on cognitive neuroscience, radiology, nuclear medicine and imaging, experimental and cognitive psychology, molecular biology, and neurology.

The scientist's work is primarily concentrated on several key topics, including:

Functional Brain Connectivity Studies
Advanced Neuroimaging Techniques and Applications
Neural dynamics and brain function
Mental Health Research Topics
Health, Environment, Cognitive Aging
Dementia and Cognitive Impairment Research
Autism Spectrum Disorder Research

Danilo Bzdok has published extensively in notable scientific venues, including:

bioRxiv (Cold Spring Harbor Laboratory) with 57 publications
Nature Communications with 11 publications
Biological Psychiatry with 8 publications
arXiv (Cornell University) with 8 publications
NeuroImage with 6 publications

Among their recent papers, the following are particularly notable:

The default mode network in cognition: a topographical perspective, 2021, Nature Reviews. Neuroscience
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI, 2022, Nature Medicine
Autism spectrum heterogeneity: fact or artifact?, 2020, Molecular Psychiatry
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets, 2020, Nature Communications
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists, 2020, NeuroImage

Frequent collaborators in Danilo Bzdok's research include:

B.T. Thomas Yeo
Avram J. Holmes
Simon B. Eickhoff
Jakub Kopál
Boris C. Bernhardt

Best Publications

Activation likelihood estimation meta-analysis revisited.

Simon B. Eickhoff;Danilo Bzdok;Danilo Bzdok;Angela R. Laird;Florian Kurth

1539
Citations
The default mode network in cognition: a topographical perspective.

Jonathan Smallwood;Boris C Bernhardt;Robert Leech;Danilo Bzdok

862
Citations
Machine Learning for Precision Psychiatry: Opportunities and Challenges.

Danilo Bzdok;Danilo Bzdok;Andreas Meyer-Lindenberg

772
Citations
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation.

Simon B. Eickhoff;Thomas E. Nichols;Angela R. Laird;Felix Hoffstaedter

693
Citations
Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy.

Danilo Bzdok;Leonhard Schilbach;Kai Vogeley;Karla Schneider

691
Citations
Co-activation patterns distinguish cortical modules, their connectivity and functional differentiation

Simon B. Eickhoff;Danilo Bzdok;Danilo Bzdok;Angela R. Laird;Christian Roski

528
Citations
An Investigation of the Structural, Connectional, and Functional Subspecialization in the Human Amygdala

Danilo Bzdok;Angela R. Laird;Karl Zilles;Peter T. Fox

460
Citations
The role of the right temporoparietal junction in attention and social interaction as revealed by ALE meta-analysis

S C Krall;Claudia Rottschy;E Oberwelland;Danilo Bzdok

383
Citations
Characterization of the temporo-parietal junction by combining data-driven parcellation, complementary connectivity analyses, and functional decoding

Danilo Bzdok;Robert Langner;Leonhard Schilbach;Oliver Jakobs

360
Citations
An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings.

Pedro Nascimento Alves;Chris Foulon;Chris Foulon;Chris Foulon;Vyacheslav Karolis;Vyacheslav Karolis;Vyacheslav Karolis;Danilo Bzdok

360
Citations
Connectivity-based parcellation: Critique and implications

Simon B. Eickhoff;Simon B. Eickhoff;Bertrand Thirion;Gaël Varoquaux;Danilo Bzdok

315
Citations
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.

Tong He;Ru Kong;Avram J. Holmes;Minh Nguyen

312
Citations
Autism spectrum heterogeneity: fact or artifact?

Laurent Mottron;Danilo Bzdok

303
Citations
Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study

Unknown

283
Citations
Introspective Minds: Using ALE Meta-Analyses to Study Commonalities in the Neural Correlates of Emotional Processing, Social & Unconstrained Cognition

Leonhard Schilbach;Danilo Bzdok;Bert Timmermans;Peter T. Fox

277
Citations
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets.

Marc-Andre Schulz;B. T. Thomas Yeo;Joshua T. Vogelstein;Janaina Mourao-Miranada

277
Citations
Definition and characterization of an extended social-affective default network

Maren Amft;Danilo Bzdok;Angela R. Laird;Angela R. Laird;Peter T. Fox;Peter T. Fox

251
Citations
Segregation of the human medial prefrontal cortex in social cognition.

Danilo Bzdok;Robert Langner;Leonhard Schilbach;Denis A. Engemann

249
Citations
The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data

Angela R Laird;Simon B Eickhoff;Simon B Eickhoff;P Mickle Fox;Angela M Uecker

245
Citations
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.

Hao-Ting Wang;Hao-Ting Wang;Jonathan Smallwood;Janaina Mourao-Miranda;Cedric Huchuan Xia

242
Citations
ALE meta-analysis on facial judgments of trustworthiness and attractiveness.

Danilo Bzdok;Robert Langner;Robert Langner;Svenja Caspers;F Kurth

235
Citations
Subspecialization in the human posterior medial cortex

Danilo Bzdok;Adrian Heeger;Robert Langner;Angela R. Laird

220
Citations