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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Psychology 64 2964 2724 127 124 299 16155
Neuroscience 64 3239 2960 281 262 311 16233

Nikolaos Koutsouleris publications per year

The chart shows the history of publications by Nikolaos Koutsouleris between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nikolaos Koutsouleris published across 20 years, from 2006 to 2025, averaging 20 papers a year. Output peaked at 50 publications in 2025. 88 of the 400 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 50. Peak 50 publications in 2025. 2006: 2 publications 2007: 10 publications 2008: 8 publications 2009: 4 publications 2010: 10 publications 2011: 4 publications 2012: 6 publications 2013: 5 publications 2014: 15 publications 2015: 6 publications 2016: 16 publications 2017: 9 publications 2018: 30 publications 2019: 25 publications 2020: 46 publications 2021: 44 publications 2022: 33 publications 2023: 39 publications 2024: 38 publications 2025: 50 publications
2006 2025

400 publications in total across all disciplines

View publications per year as a table
Nikolaos Koutsouleris: publications per year, 2006 to 2025
Year Publications
2006 2
2007 10
2008 8
2009 4
2010 10
2011 4
2012 6
2013 5
2014 15
2015 6
2016 16
2017 9
2018 30
2019 25
2020 46
2021 44
2022 33
2023 39
2024 38
2025 50
Total 400
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Nikolaos Koutsouleris 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 Nikolaos Koutsouleris sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 69 bars. Horizontal axis: publications, 31–40 to 705+. Vertical axis: number of scientists, 0 to 736. Most scientists, 736, have 101–110 publications. The last bar groups every scientist with 705 publications or more. The highlighted bar, 291–300 publications, is where this scientist sits. 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
31–40 publications 705+

This scientist: 299 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Psychology scientists by publication count, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
Publications Scientists This scientist
31–40 6
41–50 52
51–60 138
61–70 299
71–80 461
81–90 605
91–100 713
101–110 736
111–120 686
121–130 670
131–140 644
141–150 597
151–160 576
161–170 477
171–180 450
181–190 397
191–200 343
201–210 328
211–220 313
221–230 283
231–240 226
241–250 196
251–260 201
261–270 171
271–280 151
281–290 139
291–300 113 299
301–310 102
311–320 100
321–330 76
331–340 92
341–350 85
351–360 69
361–370 71
371–380 63
381–390 58
391–400 57
401–410 43
411–420 33
421–430 50
431–440 41
441–450 32
451–460 27
461–470 28
471–480 25
481–490 28
491–500 20
501–510 23
511–520 26
521–530 17
531–540 21
541–550 14
551–560 16
561–570 10
571–580 22
581–590 9
591–600 14
601–610 9
611–620 11
621–630 4
631–640 7
641–650 5
651–660 10
661–670 8
671–680 8
681–690 4
691–700 3
701–704 4
705+ 100
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Nikolaos Koutsouleris 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 Nikolaos Koutsouleris sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 58 bars. Horizontal axis: D-Index, 30–31 to 144+. Vertical axis: number of scientists, 0 to 702. Most scientists, 702, have 32–33 D-Index. The last bar groups every scientist with 144 D-Index or more. The highlighted bar, 64–65 D-Index, is where this scientist sits. 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
30–31 D-Index 144+

This scientist: 64 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Psychology scientists by D-index, Research.com 2026 ranking edition. Based on 11,416 ranked scientists.
D-Index Scientists This scientist
30–31 398
32–33 702
34–35 671
36–37 659
38–39 641
40–41 671
42–43 617
44–45 558
46–47 495
48–49 487
50–51 445
52–53 390
54–55 408
56–57 345
58–59 325
60–61 321
62–63 248
64–65 290 64
66–67 218
68–69 219
70–71 215
72–73 183
74–75 169
76–77 132
78–79 137
80–81 120
82–83 112
84–85 86
86–87 101
88–89 83
90–91 77
92–93 70
94–95 78
96–97 58
98–99 53
100–101 57
102–103 48
104–105 53
106–107 46
108–109 24
110–111 35
112–113 27
114–115 32
116–117 31
118–119 22
120–121 16
122–123 24
124–125 18
126–127 11
128–129 19
130–131 10
132–133 16
134–135 10
136–137 12
138–139 8
140–141 5
142–143 12
144+ 98
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Overview

Nikolaos Koutsouleris is affiliated with Ludwig-Maximilians-Universität München in Germany. Their research spans several fields, primarily Medicine, Neuroscience, and Psychology, with a strong focus on Cognitive Neuroscience, Psychiatry and Mental Health, and Experimental and Cognitive Psychology.

The research topics they cover include Functional Brain Connectivity Studies, Schizophrenia Research and Treatment, Mental Health Research Topics, Advanced Neuroimaging Techniques and Applications, Mental Health and Psychiatry, Tryptophan and Brain Disorders, and Machine Learning in Healthcare.

Frequent collaborators of Nikolaos Koutsouleris include Joseph Kambeitz, Dominic Dwyer, Stephen J. Wood, Stefan Borgwardt, and Rachel Upthegrove.

Major publication venues for their work are:

  • Biological Psychiatry
  • Schizophrenia Bulletin
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Schizophrenia
  • Neuroscience Applied

Recent significant papers include:

  • "Prevention of Psychosis" (2020), published in JAMA Psychiatry
  • "MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14,468 individuals worldwide" (2020), published in Brain
  • "Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning" (2020), published in Brain
  • "Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression" (2020), published in JAMA Psychiatry
  • "From promise to practice: towards the realisation of AI-informed mental health care" (2022), published in The Lancet Digital Health

Best Publications

  • Machine Learning Approaches for Clinical Psychology and Psychiatry.

    Dominic B Dwyer;Peter Falkai;Nikolaos Koutsouleris

  • BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease

    Christian Gaser;Katja Franke;Stefan Klöppel;Nikolaos Koutsouleris

  • Use of Neuroanatomical Pattern Classification to Identify Subjects in At-Risk Mental States of Psychosis and Predict Disease Transition

    Nikolaos Koutsouleris;Eva M. Meisenzahl;Christos Davatzikos;Ronald Bottlender

  • Accelerated Brain Aging in Schizophrenia and Beyond: A Neuroanatomical Marker of Psychiatric Disorders

    Nikolaos Koutsouleris;Christos Davatzikos;Stefan Borgwardt;Christian Gaser

  • Depression-related variation in brain morphology over 3 years: effects of stress?

    Thomas S. Frodl;Nikolaos Koutsouleris;Ronald Bottlender;Christine Born

  • Prevention of Psychosis: Advances in Detection, Prognosis, and Intervention

    Paolo Fusar-Poli;Gonzalo Salazar de Pablo;Gonzalo Salazar de Pablo;Christoph U. Correll;Andreas Meyer-Lindenberg

  • Interaction of childhood stress with hippocampus and prefrontal cortex volume reduction in major depression.

    Thomas Frodl;Thomas Frodl;Elena Reinhold;Nikolaos Koutsouleris;Maximilian Reiser

  • Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or with Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis

    Nikolaos Koutsouleris;Lana Kambeitz-Ilankovic;Stephan Ruhrmann;Marlene Rosen

  • MRI signatures of brain age and disease over the lifespan based on a deep brain network and 14 468 individuals worldwide.

    Vishnu M Bashyam;Guray Erus;Jimit Doshi;Mohamad Habes

  • Diagnostic neuroimaging across diseases.

    Stefan Klöppel;Ahmed Abdulkadir;Clifford R. Jack;Nikolaos Koutsouleris

  • Genetics, cognition, and neurobiology of schizotypal personality: a review of the overlap with schizophrenia.

    Ulrich Ettinger;Inga Meyhöfer;Maria Steffens;Michael Wagner

  • Neuroanatomical abnormalities that predate the onset of psychosis: a multicenter study.

    Andrea Mechelli;Anita Riecher-Rössler;Eva M. Meisenzahl;Stefania Tognin

  • Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning.

    Ganesh B Chand;Dominic B Dwyer;Guray Erus;Aristeidis Sotiras;Aristeidis Sotiras

  • Detecting neuroimaging biomarkers for schizophrenia: a meta-analysis of multivariate pattern recognition studies

    Joseph Kambeitz;Lana Kambeitz-Ilankovic;Stefan Leucht;Stephen Wood

  • Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression

    Nikolaos Koutsouleris;Dominic B. Dwyer;Franziska Degenhardt;Franziska Degenhardt;Carlo Maj

  • Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach

    Nikolaos Koutsouleris;René S Kahn;Adam M Chekroud;Stefan Leucht

  • Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis.

    Joseph Kambeitz;Lana Kambeitz-Ilankovic;Carlos Cabral;Dominic B. Dwyer

  • Childhood Stress, Serotonin Transporter Gene and Brain Structures in Major Depression

    Thomas Frodl;Elena Reinhold;Elena Reinhold;Nikolaos Koutsouleris;Gary Donohoe

  • Structural correlates of psychopathological symptom dimensions in schizophrenia: a voxel-based morphometric study.

    Nikolaos Koutsouleris;Christian Gaser;Markus Jäger;Ronald Bottlender

  • Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies.

    Joseph Kambeitz;Carlos Cabral;Matthew D. Sacchet;Ian H. Gotlib

Frequent Co-Authors

Stephen J. Wood
Stephen J. Wood University of Melbourne
Stefan Borgwardt
Stefan Borgwardt University of Lübeck
Peter Falkai
Peter Falkai Ludwig-Maximilians-Universität München
Paolo Brambilla
Paolo Brambilla University of Milan
Christos Pantelis
Christos Pantelis University of Melbourne
Christos Davatzikos
Christos Davatzikos University of Pennsylvania
Stephan Ruhrmann
Stephan Ruhrmann University of Cologne
Thomas Frodl
Thomas Frodl Otto-von-Guericke University Magdeburg
Maximilian F. Reiser
Maximilian F. Reiser Ludwig-Maximilians-Universität München
Alessandro Bertolino
Alessandro Bertolino University of Bari Aldo Moro

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Online psychology programs often provide flexible pathways to meet these state-specific requirements, helping prepare you for a career in social work, counseling, or related fields.

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