Danilo Bzdok

21.0k total citations · 8 hit papers
176 papers, 12.3k citations indexed

About

Danilo Bzdok is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Danilo Bzdok has authored 176 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Cognitive Neuroscience, 32 papers in Experimental and Cognitive Psychology and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Danilo Bzdok's work include Functional Brain Connectivity Studies (97 papers), Neural dynamics and brain function (41 papers) and Advanced Neuroimaging Techniques and Applications (25 papers). Danilo Bzdok is often cited by papers focused on Functional Brain Connectivity Studies (97 papers), Neural dynamics and brain function (41 papers) and Advanced Neuroimaging Techniques and Applications (25 papers). Danilo Bzdok collaborates with scholars based in Canada, Germany and United States. Danilo Bzdok's co-authors include Simon B. Eickhoff, Angela R. Laird, Peter T. Fox, Naomi Altman, Martin Krzywinski, Andreas Meyer‐Lindenberg, Florian Kurth, Karl Zilles, Jonathan Smallwood and Leonhard Schilbach and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Danilo Bzdok

173 papers receiving 12.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Activation likelihood estimation meta-analysis revisited

2011 1.1k citations Simon B. Eickhoff, Danilo Bzdok et al. profile →
Statistics versus machine learning

2018 949 citations Danilo Bzdok et al. profile →
The default mode network in cognition: a topographical perspective

2021 537 citations Jonathan Smallwood, Boris C. Bernhardt et al. profile →
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation

2016 527 citations Simon B. Eickhoff, Danilo Bzdok et al. profile →
Machine Learning for Precision Psychiatry: Opportunities and Challenges

2017 497 citations Danilo Bzdok et al. profile →
Parsing the neural correlates of moral cognition: ALE meta-analysis on morality, theory of mind, and empathy

2012 443 citations Danilo Bzdok, Leonhard Schilbach et al. profile →
An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings

2019 229 citations Danilo Bzdok et al. Communications Biology profile →
Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study

2022 108 citations Jianzhong Chen, Angela Tam et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Danilo Bzdok Canada	53	7.9k	2.4k	2.0k	1.7k	1.6k	176	12.3k
Tal Yarkoni United States	36	7.4k 0.9×	2.8k 1.2×	1.4k 0.7×	1.1k 0.6×	1.6k 1.0×	74	12.0k
Simone Kühn Germany	65	6.3k 0.8×	2.4k 1.0×	1.1k 0.6×	1.6k 0.9×	1.6k 1.0×	363	12.0k
Anil K. Seth United Kingdom	64	11.3k 1.4×	3.0k 1.2×	1.0k 0.5×	3.2k 1.9×	2.7k 1.7×	221	17.3k
Paul J. Laurienti United States	47	7.9k 1.0×	3.0k 1.3×	2.0k 1.0×	1.7k 1.0×	1.1k 0.7×	194	12.6k
Scott A. Huettel United States	58	7.7k 1.0×	2.1k 0.9×	1.3k 0.7×	936 0.5×	1.4k 0.9×	168	11.7k
Shu Li China	67	7.7k 1.0×	2.8k 1.2×	876 0.4×	1.6k 0.9×	1.6k 1.0×	528	16.7k
John–Dylan Haynes Germany	58	11.7k 1.5×	2.0k 0.8×	770 0.4×	696 0.4×	1.6k 1.0×	206	13.9k
Ryuta Kawashima Japan	70	10.8k 1.4×	4.2k 1.8×	2.3k 1.2×	2.4k 1.4×	2.2k 1.4×	494	17.4k
Adam Gazzaley United States	55	9.8k 1.2×	2.6k 1.1×	865 0.4×	1.4k 0.8×	990 0.6×	175	13.7k
David E.J. Linden United Kingdom	72	12.1k 1.5×	2.5k 1.0×	2.4k 1.2×	3.1k 1.8×	930 0.6×	347	17.2k

Countries citing papers authored by Danilo Bzdok

Since Specialization

Citations

This map shows the geographic impact of Danilo Bzdok's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danilo Bzdok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Bzdok more than expected).

Fields of papers citing papers by Danilo Bzdok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo Bzdok. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danilo Bzdok. The network helps show where Danilo Bzdok may publish in the future.

Co-authorship network of co-authors of Danilo Bzdok

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Bzdok. A scholar is included among the top collaborators of Danilo Bzdok based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danilo Bzdok. Danilo Bzdok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Diedrichsen, Jörn, et al.. (2024). Structural covariation between cerebellum and neocortex intrinsic structural covariation links cerebellum subregions to the cerebral cortex. Journal of Neurophysiology. 132(3). 849–869.

Hartwigsen, Gesa, Jae‐Sung Lim, Hee‐Joon Bae, et al.. (2024). Bayesian modelling disentangles language versus executive control disruption in stroke. Brain Communications. 6(3). fcae129–fcae129. 1 indexed citations

Nomi, Jason S., Danilo Bzdok, Jingwei Li, et al.. (2024). Systematic cross-sectional age-associations in global fMRI signal topography. Imaging Neuroscience. 2. 2 indexed citations

An, Lijun, Ru Kong, Danilo Bzdok, et al.. (2024). Translating phenotypic prediction models from big to small anatomical MRI data using meta-matching. Imaging Neuroscience. 2. 3 indexed citations

Weaver, Nick A., Jae‐Sung Lim, J. Matthijs Biesbroek, et al.. (2023). Disentangling poststroke cognitive deficits and their neuroanatomical correlates through combined multivariable and multioutcome lesion‐symptom mapping. Human Brain Mapping. 44(6). 2266–2278. 2 indexed citations

Kernbach, Julius M., Gesa Hartwigsen, Jae‐Sung Lim, et al.. (2023). Bayesian stroke modeling details sex biases in the white matter substrates of aphasia. Communications Biology. 6(1). 354–354. 4 indexed citations

Schulz, Marc-André, Danilo Bzdok, Stefan Haufe, John–Dylan Haynes, & Kerstin Ritter. (2023). Performance reserves in brain-imaging-based phenotype prediction. Cell Reports. 43(1). 113597–113597. 19 indexed citations

Schilbach, Leonhard, et al.. (2022). Social belonging: brain structure and function is linked to membership in sports teams, religious groups, and social clubs. Cerebral Cortex. 33(8). 4405–4420. 11 indexed citations

Spreng, R. Nathan, et al.. (2022). Lacking social support is associated with structural divergences in hippocampus–default network co-variation patterns. Social Cognitive and Affective Neuroscience. 17(9). 802–818. 5 indexed citations

10.

Chen, Jianzhong, Angela Tam, Valeria Kebets, et al.. (2022). Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study. Nature Communications. 13(1). 2217–2217. 108 indexed citations breakdown →

11.

Kernbach, Julius M., Daniel Delev, Georg Neuloh, et al.. (2022). Meta-topologies define distinct anatomical classes of brain tumours linked to histology and survival. Brain Communications. 5(1). fcac336–fcac336. 1 indexed citations

12.

Benkarim, Oualid, Casey Paquola, Bo‐yong Park, et al.. (2022). Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging. PLoS Biology. 20(4). e3001627–e3001627. 26 indexed citations

13.

Bonkhoff, Anna K., Jae‐Sung Lim, Hee‐Joon Bae, et al.. (2021). Generative lesion pattern decomposition of cognitive impairment after stroke. Brain Communications. 3(2). fcab110–fcab110. 14 indexed citations

14.

Dadi, Kamalaker, Gaël Varoquaux, Josselin Houenou, et al.. (2021). Population modeling with machine learning can enhance measures of mental health. GigaScience. 10(10). 25 indexed citations

15.

Spreng, R. Nathan, et al.. (2021). Loneliness is linked to specific subregional alterations in hippocampus-default network covariation. Journal of Neurophysiology. 126(6). 2138–2157. 12 indexed citations

16.

Smallwood, Jonathan, Adam Turnbull, Hao-Ting Wang, et al.. (2021). The neural correlates of ongoing conscious thought. iScience. 24(3). 102132–102132. 59 indexed citations

17.

Uddin, Lucina Q., et al.. (2021). Dissecting the midlife crisis: disentangling social, personality and demographic determinants in social brain anatomy. Communications Biology. 4(1). 728–728. 16 indexed citations

18.

Xia, Cedric Huchuan, Zongming Ma, Zaixu Cui, et al.. (2020). Multi‐scale network regression for brain‐phenotype associations. Human Brain Mapping. 41(10). 2553–2566. 15 indexed citations

19.

Spreng, R. Nathan, Laetitia Mwilambwe-Tshilobo, Alain Dagher, et al.. (2020). The default network of the human brain is associated with perceived social isolation. Nature Communications. 11(1). 6393–6393. 136 indexed citations

20.

Bzdok, Danilo, Simon B. Eickhoff, & Daniel M. Gross. (2015). The neurobiology of moral cognition. JuSER (Forschungszentrum Jülich). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact