World's Best Scientists 2026 revealed!
Martin Reuter

Martin Reuter

D-Index & Metrics

Psychology

D-Index
77
Citations
18446
World Ranking
1670
National Ranking
68

Martin Reuter publication distribution in Psychology in 2026

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

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 336 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Martin Reuter D-index placement in Psychology in 2026

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

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 77 D-Index — 86th percentile

86% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

Martin Reuter is affiliated with the University of Bonn in Germany and has made contributions primarily in the fields of Medicine and Neuroscience. Their work spans various subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental Health, Pediatrics, Perinatology and Child Health, and Computer Vision and Pattern Recognition.

Their research covers a range of main topics such as:

  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Memory and Neural Mechanisms
  • Dementia and Cognitive Impairment Research
  • Fetal and Pediatric Neurological Disorders
  • Face Recognition and Perception

Among recent papers authored or co-authored by Martin Reuter are:

  • "FastSurfer - A fast and accurate deep learning based neuroimaging pipeline", 2020, NeuroImage
  • "Relation Between Sex, Menopause, and White Matter Hyperintensities", 2022, Neurology
  • "FastSurferVINN: Building resolution-independence into deep learning segmentation methods-A solution for HighRes brain MRI", 2022, NeuroImage
  • "Increased hippocampal shape asymmetry and volumetric ventricular asymmetry in autism spectrum disorder", 2020, NeuroImage Clinical
  • "CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation", 2022, NeuroImage

Frequent co-authors collaborating with Martin Reuter include:

  • Monique M.B. Breteler
  • David Kügler
  • Merlin Monzel
  • Santiago Estrada
  • Kersten Diers

Their publications are frequently found in the following venues:

  • Alzheimer s & Dementia
  • arXiv (Cornell University)
  • Harvard Dataverse
  • NeuroImage
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • Mindboggling morphometry of human brains

    Arno Klein;Satrajit S. Ghosh;Satrajit S. Ghosh;Forrest Sheng Bao;Joachim Giard

  • FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

    Leonie Henschel;Sailesh Conjeti;Santiago Estrada;Kersten Diers

  • Head Motion during MRI Acquisition Reduces Gray Matter Volume and Thickness Estimates

    Martin Reuter;M. Dylan Tisdall;Abid Qureshi;Randy L. Buckner

  • Genetically determined differences in learning from errors

    Tilmann A. Klein;Jane Neumann;Martin Reuter;Jürgen Hennig

  • High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas.

    Z.M. Saygin;D. Kliemann;J.E. Iglesias;A.J.W. van der Kouwe

  • Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.

    Jorge L. Bernal-Rusiel;Douglas N. Greve;Martin Reuter;Bruce Fischl

  • The Dynamics of Cortical and Hippocampal Atrophy in Alzheimer Disease

    Mert R. Sabuncu;Rahul S. Desikan;Jorge Sepulcre;Boon Thye T. Yeo

  • Reduced grid-cell–like representations in adults at genetic risk for Alzheimer’s disease

    Lukas Kunz;Tobias Navarro Schröder;Hweeling Lee;Christian Montag

  • Is it meaningful to distinguish between generalized and specific Internet addiction? Evidence from a cross-cultural study from Germany, Sweden, Taiwan and China

    Christian Montag;Katharina Bey;Peng Sha;Mei Li

  • Identification of first candidate genes for creativity: A pilot study

    Martin Reuter;Sarah Roth;Kati Holve;Jürgen Hennig

  • Memory Consolidation by Replay of Stimulus-Specific Neural Activity

    Lorena Deuker;Jan Olligs;Juergen Fell;Thorsten A Kranz

  • Beyond revenge: Neural and genetic bases of altruistic punishment

    Alexander Strobel;Jan Zimmermann;Anja Schmitz;Anja Schmitz;Martin Reuter

  • Dopamine DRD2 Polymorphism Alters Reversal Learning and Associated Neural Activity

    Gerhard Jocham;Tilmann A. Klein;Jane Neumann;D. Yves von Cramon

  • Similar Personality Patterns Are Associated with Empathy in Four Different Countries

    Martin C. Melchers;Mei Li;Brian W. Haas;Martin Reuter

  • Molecular genetics support Gray's personality theory: the interaction of COMT and DRD2 polymorphisms predicts the behavioural approach system

    Martin Reuter;Anja Schmitz;Philip Corr;Juergen Hennig

  • The BDNF Val66Met polymorphism impacts parahippocampal and amygdala volume in healthy humans: incremental support for a genetic risk factor for depression.

    C Montag;B Weber;K Fliessbach;C Elger

  • Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.

    Juan Eugenio Iglesias;Koen Van Leemput;Jean Augustinack;Ricardo Insausti

  • BrainPrint: a discriminative characterization of brain morphology.

    Christian Wachinger;Polina Golland;William S. Kremen;Bruce Fischl

  • Physical Exercise during Encoding Improves Vocabulary Learning in Young Female Adults: A Neuroendocrinological Study

    Maren Schmidt-Kassow;Marie Deusser;Christian Thomas Thiel;Sascha Otterbein

  • COMT genetic variation affects fear processing: psychophysiological evidence.

    Christian Montag;Joshua W. Buckholtz;Peter Hartmann;Michael Merz

  • Frontostriatal Involvement in Task Switching Depends on Genetic Differences in D2 Receptor Density

    Christine Stelzel;Ulrike Basten;Christian Montag;Martin Reuter

  • Dopamine DRD2 polymorphism alters reversal learning and associated neural activity

    G Jocham;TA Klein;J Neumann;DY von Cramon

Frequent Co-Authors

Christian Montag
Christian Montag University of Macau
Sebastian Markett
Sebastian Markett Humboldt-Universität zu Berlin
Bruce Fischl
Bruce Fischl Harvard University
Bernd Weber
Bernd Weber University of Bonn
Christian Wachinger
Christian Wachinger Technical University of Munich
Peter Kirsch
Peter Kirsch Heidelberg University
Juergen Hennig
Juergen Hennig University of Giessen
Nikolai Axmacher
Nikolai Axmacher Ruhr University Bochum
Christian E. Elger
Christian E. Elger University Hospital Bonn
Monique M.B. Breteler
Monique M.B. Breteler German Center for Neurodegenerative Diseases

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