World's Best Scientists 2026 revealed!
Irena Rektorová

Irena Rektorová

D-Index & Metrics

Neuroscience

D-Index
49
Citations
10868
World Ranking
5915
National Ranking
8

Irena Rektorová 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 Irena Rektorová 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: 325 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Irena Rektorová 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 Irena Rektorová 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: 49 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Irena Rektorová is affiliated with Masaryk University in the Czech Republic, with a research profile broadly situated within Medicine and Neuroscience. Their work spans several subfields, notably Neurology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Physiology, and Psychiatry and Mental Health. The scientist's research contributions are reflected in numerous publications and collaborations.

The core topics in Rektorová's research include:

  • Transcranial Magnetic Stimulation Studies
  • Parkinson's Disease Mechanisms and Treatments
  • Functional Brain Connectivity Studies
  • Neurological Disorders and Treatments
  • Advanced Neuroimaging Techniques and Applications
  • Voice and Speech Disorders
  • Dementia and Cognitive Impairment Research

Frequent publication venues for their work consist of:

  • Clinical Neurophysiology
  • Parkinsonism & Related Disorders
  • Brain Stimulation
  • Journal of Neural Transmission
  • European Journal of Neurology

The scientist has coauthored multiple papers with a consistent group of collaborators, including Luboš Brabenec, Martin Gajdoš, Patrik Šimko, Jiří Mekyska, and Patrícia Klobušiaková. The close collaboration is indicated by numerous joint publications.

Notable recent papers include:

  • "Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014-2018)" (2020) published in Clinical Neurophysiology
  • "The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study" (2020) published in Medical Image Analysis
  • "Diagnostic contribution and therapeutic perspectives of transcranial magnetic stimulation in dementia" (2021) published in Clinical Neurophysiology
  • "Corrigendum to 'Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014-2018)' [Clin. Neurophysiol. 131 (2020) 474-528]" (2020) published in Clinical Neurophysiology
  • "Is non-invasive brain stimulation effective for cognitive enhancement in Alzheimer's disease? An updated meta-analysis" (2022) published in Clinical Neurophysiology

These publications indicate active involvement in studies focusing on therapeutic uses of brain stimulation techniques, reliability of deep learning models in medical imaging, and clinical applications related to dementia and cognitive enhancement.

Best Publications

  • Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014–2018)

    Jean Pascal Lefaucheur;André Aleman;Chris Baeken;David H. Benninger

  • EFNS guidelines for the diagnosis and management of Alzheimer's disease

    J. Hort;J.T. O'Brien;G. Gainotti;T. Pirttila

  • EFNS-ENS Guidelines on the diagnosis and management of disorders associated with dementia

    S. Sorbi;J. Hort;T. Erkinjuntti;T. Erkinjuntti;T. Fladby

  • Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease

    Peter Drotár;Jiří Mekyska;Irena Rektorová;Lucia Masarová

  • Pramipexole and pergolide in the treatment of depression in Parkinson's disease: a national multicentre prospective randomized study.

    I. Rektorová;I. Rektor;M. Bareš;V. Dostál

  • Speech disorders in Parkinson's disease: early diagnostics and effects of medication and brain stimulation.

    L. Brabenec;J. Mekyska;Z. Galaz;Irena Rektorova;Irena Rektorova

  • Global scales for cognitive screening in Parkinson's disease: Critique and recommendations

    Matej Skorvanek;Jennifer G Goldman;Marjan Jahanshahi;Connie Marras

  • Decision Support Framework for Parkinson’s Disease Based on Novel Handwriting Markers

    Peter Drotar;Jiri Mekyska;Irena Rektorova;Lucia Masarova

  • The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study

    Gustav Mårtensson;Daniel Ferreira;Tobias Granberg;Lena Cavallin

  • Analysis of in-air movement in handwriting

    Peter Drotár;Jiří Mekyska;Irena Rektorová;Lucia Masarová

  • Non-invasive brain stimulation of the right inferior frontal gyrus may improve attention in early Alzheimer's disease: a pilot study.

    Ilona Eliasova;Lubomira Anderkova;Radek Marecek;Irena Rektorova;Irena Rektorova

  • Diagnostic contribution and therapeutic perspectives of transcranial magnetic stimulation in dementia.

    Vincenzo Di Lazzaro;Rita Bella;Alberto Benussi;Matteo Bologna

  • Robust and complex approach of pathological speech signal analysis

    Jiri Mekyska;Eva Janousova;Pedro Gomez-Vilda;Zdenek Smekal

  • Corrigendum to "Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS): An update (2014-2018)" [Clin. Neurophysiol. 131 (2020) 474-528].

    Jean-Pascal Lefaucheur;André Aleman;Chris Baeken;David H Benninger

  • Serum inflammatory biomarkers in Parkinson's disease.

    Michal Dufek;Markéta Hamanová;Jindřich Lokaj;David Goldemund

  • The default mode network integrity in patients with Parkinson’s disease is levodopa equivalent dose-dependent

    Lenka Krajčovičová;Michal Mikl;Michal Mikl;Radek Mareček;Radek Mareček;Irena Rektorová;Irena Rektorová

  • Cognitive functioning after repetitive transcranial magnetic stimulation in patients with cerebrovascular disease without dementia: a pilot study of seven patients

    Irena Rektorová;Sabina Megová;Martin Bareš;Ivan Rektor

  • The role of high-field magnetic resonance imaging in parkinsonian disorders: Pushing the boundaries forward

    Stéphane Lehericy;David E. Vaillancourt;Klaus Seppi;Oury Monchi

  • The utility of α-synuclein as biofluid marker in neurodegenerative diseases: a systematic review of the literature

    Anja Hviid Simonsen;Bea Kuiperij;Omar Mukhtar Ali El-Agnaf;Sebastian Engelborghs

  • Default Mode Network and Extrastriate Visual Resting State Network in Patients with Parkinson’s Disease Dementia

    Irena Rektorová;Lenka Krajčovičová;Radek Mareček;Michal Mikl

  • Grey matter changes in cognitively impaired Parkinson's disease patients.

    Irena Rektorova;Roberta Biundo;Radek Marecek;Luca Weis

  • Decision support framework for Parkinson's disease based onnovel handwriting markers

    Peter Drotár;Jiří Mekyska;Irena Rektorová;Lucia Masárová

Frequent Co-Authors

Ivan Rektor
Ivan Rektor Masaryk University
Martin Bareš
Martin Bareš Masaryk University
Marcos Faundez-Zanuy
Marcos Faundez-Zanuy Pompeu Fabra University
Dag Aarsland
Dag Aarsland King's College London
Milan Brázdil
Milan Brázdil Central European Institute of Technology
Robert Jech
Robert Jech Czech Education and Scientific Net work
Angelo Antonini
Angelo Antonini University of Padua
Laura Bonanni
Laura Bonanni University of Chieti-Pescara
Tormod Fladby
Tormod Fladby University of Oslo
Evžen Růžička
Evžen Růžička Charles University

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