World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
42
Citations
7149
World Ranking
7638
National Ranking
11

Milan Brázdil publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Milan Brázdil sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 487 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Milan Brázdil D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Milan Brázdil sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 42 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Milan Brázdil is affiliated with the Central European Institute of Technology in the Czech Republic. Their work primarily resides within Neuroscience and Medicine, focusing on several subfields including Cognitive Neuroscience, Psychiatry and Mental Health, Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience, and Neurology.

The research topics Brázdil covers include:

  • Epilepsy research and treatment
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neuroscience and Neuropharmacology Research
  • Neural dynamics and brain function
  • Pharmacological Effects and Toxicity Studies
  • Neural and Behavioral Psychology Studies

Brázdil's frequent co-authors are Martin Pail, Irena Doležalová, Klára Marečková, Radek Mareček, and Jan Cimbálník.

The most common venues for their publications include Scientific Reports, Epilepsia, Neurologie pro praxi, bioRxiv (Cold Spring Harbor Laboratory), and Brain.

Among their recent publications are:

  • "Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies," 2021, NeuroImage Clinical
  • "Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology," 2021, Clinical Neurophysiology
  • "A brain atlas of axonal and synaptic delays based on modelling of cortico-cortical evoked potentials," 2021, Brain
  • "Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology," 2021, Epilepsia
  • "High frequency oscillations in epileptic and non-epileptic human hippocampus during a cognitive task," 2020, Scientific Reports

Best Publications

  • Seizure control and treatment in pregnancy: Observations from the EURAP epilepsy pregnancy registry

    Torbjörn Tomson;D. Battino;E. Bonizzoni;J. Craig

  • Effects of spatial smoothing on fMRI group inferences

    Michal Mikl;Michal Mikl;Radek Mareček;Petr Hluštík;Martina Pavlicová

  • Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering.

    Martin Havlicek;Karl J. Friston;Jiri Jan;Milan Brazdil;Milan Brazdil

  • Automated seizure detection using wearable devices: A clinical practice guideline of the International League Against Epilepsy and the International Federation of Clinical Neurophysiology

    Sándor Beniczky;Samuel Wiebe;Jesper Jeppesen;William O Tatum

  • Vagus nerve stimulation: longitudinal follow-up of patients treated for 5 years.

    Robert Kuba;Milan Brázdil;Miroslav Kalina;Tomáš Procházka

  • Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies

    Lenka Zacková;Martin Jáni;Milan Brázdil;Yuliya S. Nikolova

  • Dynamic Granger causality based on Kalman filter for evaluation of functional network connectivity in fMRI data

    Martin Havlicek;Jiri Jan;Milan Brazdil;Vince D. Calhoun;Vince D. Calhoun

  • Error processing - evidence from intracerebral ERP recordings

    Milan Brázdil;Robert Roman;Michael Falkenstein;Pavel Daniel

  • Intracerebral Error-Related Negativity in a Simple Go/NoGo Task

    Milan Brázdil;Robert Roman;Pavel Daniel;Ivan Rektor

  • Intracerebral event-related potentials to subthreshold target stimuli.

    Milan Brázdil;Ivan Rektor;Pavel Daniel;Michal Dufek

  • Combined event-related fMRI and intracerebral ERP study of an auditory oddball task.

    Milan Brázdil;Martin Dobšík;Michal Mikl;Pavel Hluštík

  • Effective connectivity in target stimulus processing: a dynamic causal modeling study of visual oddball task.

    Milan Brázdil;Michal Mikl;Radek Mareček;Petr Krupa

  • Atypical hemispheric language dominance in left temporal lobe epilepsy as a result of the reorganization of language functions.

    Milan Brázdil;Jozef Zákopčan;Robert Kuba;Zuzana Fanfrdlová

  • Effect of Vagal Nerve Stimulation on Interictal Epileptiform Discharges: A Scalp EEG Study

    Robert Kuba;Markéta Guzaninová;Milan Brázdil;Zdenĕk Novák

  • A SEEG study of ERP in motor and premotor cortices and in the basal ganglia.

    Ivan Rektor;Petr Kaňovský;Martin Bareš;Milan Brázdil

  • An optimized voxel-based morphometric study of gray matter changes in patients with left-sided and right-sided mesial temporal lobe epilepsy and hippocampal sclerosis (MTLE/HS).

    Martin Pail;Milan Brázdil;Radek Mareček;Michal Mikl;Michal Mikl

  • Reorganization of language-related neuronal networks in patients with left temporal lobe epilepsy : an fMRI study

    Milan Brázdil;Pavel Chlebus;Michal Mikl;Marta Pažourková

  • fMRI evaluation of hemispheric language dominance using various methods of laterality index calculation.

    Pavel Chlebus;Michal Mikl;Michal Mikl;Milan Brázdil;Marta Pazourková

  • Interictal and ictal EEG activity in the basal ganglia: an SEEG study in patients with temporal lobe epilepsy.

    Ivan Rektor;Robert Kuba;Milan Brázdil

  • The role of frontal and temporal lobes in visual discrimination task — depth ERP studies

    Milan Brázdil;Ivan Rektor;Michal Dufek;Pavel Daniel

  • Intracerebral EEG Artifact Identification Using Convolutional Neural Networks

    Petr Nejedly;Petr Nejedly;Jan Cimbalnik;Petr Klimes;Filip Plesinger

Frequent Co-Authors

Ivan Rektor
Ivan Rektor Masaryk University
Martin Bareš
Martin Bareš Masaryk University
Šárka Pospíšilová
Šárka Pospíšilová Masaryk University
Irena Rektorová
Irena Rektorová Masaryk University
Tomáš Paus
Tomáš Paus University of Toronto
Vince D. Calhoun
Vince D. Calhoun Georgia State University
Claudio Babiloni
Claudio Babiloni Sapienza University of Rome
Fabrizio Vecchio
Fabrizio Vecchio Sapienza University of Rome
Adam Zeman
Adam Zeman University of Exeter

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