Diego Vidaurre

10.9k total citations · 4 hit papers
67 papers, 4.7k citations indexed

About

Diego Vidaurre is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Diego Vidaurre has authored 67 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Diego Vidaurre's work include Neural dynamics and brain function (48 papers), Functional Brain Connectivity Studies (41 papers) and EEG and Brain-Computer Interfaces (21 papers). Diego Vidaurre is often cited by papers focused on Neural dynamics and brain function (48 papers), Functional Brain Connectivity Studies (41 papers) and EEG and Brain-Computer Interfaces (21 papers). Diego Vidaurre collaborates with scholars based in United Kingdom, Denmark and Spain. Diego Vidaurre's co-authors include Mark W. Woolrich, Stephen M. Smith, Thomas E. Nichols, Andrew J. Quinn, Karla L. Miller, Deanna M. Barch, Kâmil Uǧurbil, David C. Van Essen, Matthew F. Glasser and Anderson M. Winkler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Diego Vidaurre

62 papers receiving 4.7k citations

Hit 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.

Functional connectomics from resting-state fMRI

2013 683 citations Stephen M. Smith, Diego Vidaurre et al. Trends in Cognitive Sciences profile →
A positive-negative mode of population covariation links brain connectivity, demographics and behavior

2015 539 citations Stephen M. Smith, Thomas E. Nichols et al. Nature Neuroscience profile →
Brain network dynamics are hierarchically organized in time

2017 506 citations Diego Vidaurre, Stephen M. Smith et al. profile →
Estimation of brain age delta from brain imaging

2019 230 citations Stephen M. Smith, Diego Vidaurre et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Vidaurre United Kingdom	28	4.1k	1.2k	692	305	296	67	4.7k
Ru Kong Singapore	18	3.4k 0.8×	1.4k 1.2×	797 1.2×	173 0.6×	367 1.2×	25	3.9k
Emma C. Robinson United Kingdom	20	5.0k 1.2×	2.8k 2.3×	587 0.8×	308 1.0×	392 1.3×	45	6.5k
Pierre Bellec Canada	33	3.3k 0.8×	1.5k 1.2×	416 0.6×	244 0.8×	707 2.4×	122	4.4k
Javier González-Castillo United States	25	4.3k 1.1×	1.7k 1.4×	916 1.3×	189 0.6×	249 0.8×	54	5.1k
Petra E. Vértes United Kingdom	33	3.5k 0.9×	1.4k 1.2×	741 1.1×	476 1.6×	427 1.4×	62	5.0k
Srikanth Ryali United States	32	4.4k 1.1×	1.2k 1.0×	829 1.2×	218 0.7×	635 2.1×	70	5.5k
Julia M. Stephen United States	34	2.6k 0.6×	855 0.7×	464 0.7×	205 0.7×	276 0.9×	194	3.7k
Richard F. Betzel United States	38	5.9k 1.4×	2.3k 1.9×	1.2k 1.8×	499 1.6×	329 1.1×	90	6.7k
Eswar Damaraju United States	31	5.4k 1.3×	2.4k 2.0×	1.1k 1.6×	253 0.8×	575 1.9×	74	6.0k
John D. Medaglia United States	28	2.5k 0.6×	685 0.6×	1.1k 1.5×	150 0.5×	291 1.0×	69	3.8k

Countries citing papers authored by Diego Vidaurre

Since Specialization

Citations

This map shows the geographic impact of Diego Vidaurre'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 Diego Vidaurre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Vidaurre more than expected).

Fields of papers citing papers by Diego Vidaurre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Vidaurre. 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 Diego Vidaurre. The network helps show where Diego Vidaurre may publish in the future.

Co-authorship network of co-authors of Diego Vidaurre

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Vidaurre. A scholar is included among the top collaborators of Diego Vidaurre 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 Diego Vidaurre. Diego Vidaurre 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

Gohil, Chetan, et al.. (2025). Large-scale cortical functional networks are organized in structured cycles. Nature Neuroscience. 28(10). 2118–2128.

Jarne, C., et al.. (2024). Predicting Subject Traits From Brain Spectral Signatures: An Application to Brain Ageing. Human Brain Mapping. 45(18). e70096–e70096. 1 indexed citations

Gohil, Chetan, et al.. (2024). osl-dynamics, a toolbox for modeling fast dynamic brain activity. eLife. 12. 4 indexed citations

Vidaurre, Diego, Lars Costers, Marie D’hooghe, et al.. (2024). Disrupted working memory event-related network dynamics in multiple sclerosis. Communications Biology. 7(1). 1592–1592. 3 indexed citations

Gohil, Chetan, et al.. (2023). osl-dynamics, a toolbox for modeling fast dynamic brain activity. eLife. 12. 9 indexed citations

Fredes, Felipe, et al.. (2023). Dissecting unsupervised learning through hidden Markov modeling in electrophysiological data. Journal of Neurophysiology. 130(2). 364–379. 8 indexed citations

Quinn, Andrew J., et al.. (2022). The relationship between frequency content and representational dynamics in the decoding of neurophysiological data. NeuroImage. 260. 119462–119462. 5 indexed citations

Charquero‐Ballester, Marina, Birgit Kleim, Diego Vidaurre, et al.. (2022). Effective psychological therapy for PTSD changes the dynamics of specific large‐scale brain networks. Human Brain Mapping. 43(10). 3207–3220. 6 indexed citations

Pervaiz, Usama, Diego Vidaurre, Chetan Gohil, Stephen M. Smith, & Mark W. Woolrich. (2022). Multi-dynamic modelling reveals strongly time-varying resting fMRI correlations. Medical Image Analysis. 77. 102366–102366. 11 indexed citations

10.

Salvan, Piergiorgio, Alberto Lazari, Diego Vidaurre, et al.. (2021). Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics. Cell Reports. 37(5). 109954–109954. 9 indexed citations

11.

Karapanagiotidis, Theodoros, Diego Vidaurre, Andrew J. Quinn, et al.. (2020). The psychological correlates of distinct neural states occurring during wakeful rest. Scientific Reports. 10(1). 21121–21121. 49 indexed citations

12.

Zhang, Min, Guangdi Li, Jia Shang, et al.. (2020). Rapidly decreased HBV RNA predicts responses of pegylated interferons in HBeAg-positive patients: a longitudinal cohort study. Hepatology International. 14(2). 212–224. 25 indexed citations

13.

Pervaiz, Usama, Diego Vidaurre, Mark W. Woolrich, & Stephen M. Smith. (2020). Optimising network modelling methods for fMRI. NeuroImage. 211. 116604–116604. 149 indexed citations

14.

Quinn, Andrew J., Freek van Ede, Matthew J. Brookes, et al.. (2019). Unpacking Transient Event Dynamics in Electrophysiological Power Spectra. Brain Topography. 32(6). 1020–1034. 38 indexed citations

15.

Hirschmann, Jan V., Sylvain Baillet, Mark W. Woolrich, et al.. (2019). Spontaneous network activity <35 Hz accounts for variability in stimulus-induced gamma responses. NeuroImage. 207. 116374–116374. 14 indexed citations

16.

Cabral, Joana, Diego Vidaurre, Paulo Marques, et al.. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Scientific Reports. 7(1). 5135–5135. 222 indexed citations

17.

Smith, Stephen M., Thomas E. Nichols, Diego Vidaurre, et al.. (2015). A positive-negative mode of population covariation links brain connectivity, demographics and behavior. Nature Neuroscience. 18(11). 1565–1567. 539 indexed citations breakdown →

18.

Winkler, Anderson M., Matthew Webster, Diego Vidaurre, Thomas E. Nichols, & Stephen M. Smith. (2015). Multi-level block permutation. NeuroImage. 123. 253–268. 165 indexed citations

19.

Pineda‐Pardo, José A., Ricardo Bruña, Mark W. Woolrich, et al.. (2014). Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment. NeuroImage. 101. 765–777. 44 indexed citations

20.

Smith, Stephen M., Diego Vidaurre, Christian F. Beckmann, et al.. (2013). Functional connectomics from resting-state fMRI. Trends in Cognitive Sciences. 17(12). 666–682. 683 indexed citations breakdown →

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.

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