World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Neuroscience 60 3831 3505 1748 1575 172 13449

Andreas Horn publications per year

The chart shows the history of publications by Andreas Horn between 1991 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Andreas Horn published across 35 years, from 1991 to 2025, averaging 7.2 papers a year. Output peaked at 45 publications in 2022. 50 of the 252 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1991 to 2025. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2022. 1991: 1 publication 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 0 publications 2009: 1 publication 2010: 0 publications 2011: 0 publications 2012: 0 publications 2013: 1 publication 2014: 3 publications 2015: 12 publications 2016: 12 publications 2017: 13 publications 2018: 14 publications 2019: 26 publications 2020: 11 publications 2021: 39 publications 2022: 45 publications 2023: 24 publications 2024: 31 publications 2025: 19 publications
1991 2025

252 publications in total across all disciplines

View publications per year as a table
Andreas Horn: publications per year, 1991 to 2025
Year Publications
1991 1
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 0
2007 0
2008 0
2009 1
2010 0
2011 0
2012 0
2013 1
2014 3
2015 12
2016 12
2017 13
2018 14
2019 26
2020 11
2021 39
2022 45
2023 24
2024 31
2025 19
Total 252
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Andreas Horn 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 Andreas Horn sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 86 bars. Horizontal axis: publications, 38–47 to 887+. Vertical axis: number of scientists, 0 to 539. Most scientists, 539, have 98–107 publications. The last bar groups every scientist with 887 publications or more. The highlighted bar, 168–177 publications, is where this scientist sits. 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 scientist 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38–47 publications 887+

This scientist: 172 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Neuroscience scientists by publication count, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
Publications Scientists This scientist
38–47 18
48–57 79
58–67 193
68–77 323
78–87 406
88–97 452
98–107 539
108–117 505
118–127 522
128–137 469
138–147 456
148–157 459
158–167 397
168–177 383 172
178–187 350
188–197 302
198–207 306
208–217 262
218–227 242
228–237 220
238–247 203
248–257 174
258–267 176
268–277 175
278–287 125
288–297 116
298–307 127
308–317 128
318–327 99
328–337 89
338–347 78
348–357 96
358–367 66
368–377 59
378–387 65
388–397 54
398–407 48
408–417 49
418–427 34
428–437 31
438–447 30
448–457 31
458–467 36
468–477 40
478–487 35
488–497 30
498–507 23
508–517 26
518–527 20
528–537 23
538–547 20
548–557 20
558–567 17
568–577 14
578–587 20
588–597 20
598–607 19
608–617 18
618–627 17
628–637 11
638–647 11
648–657 11
658–667 8
668–677 7
678–687 11
688–697 10
698–707 4
708–717 6
718–727 5
728–737 5
738–747 9
748–757 9
758–767 3
768–777 7
778–787 7
788–797 6
798–807 2
808–817 2
818–827 7
828–837 0
838–847 9
848–857 3
858–867 1
868–877 3
878–886 6
887+ 100
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Andreas Horn 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 Andreas Horn sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 68 bars. Horizontal axis: D-Index, 30–31 to 163+. Vertical axis: number of scientists, 0 to 512. Most scientists, 512, have 46–47 D-Index. The last bar groups every scientist with 163 D-Index or more. The highlighted bar, 60–61 D-Index, is where this scientist sits. 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
30–31 D-Index 163+

This scientist: 60 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Neuroscience scientists by D-index, Research.com 2026 ranking edition. Based on 9,597 ranked scientists.
D-Index Scientists This scientist
30–31 42
32–33 172
34–35 296
36–37 435
38–39 459
40–41 456
42–43 467
44–45 478
46–47 512
48–49 435
50–51 425
52–53 418
54–55 392
56–57 357
58–59 334
60–61 328 60
62–63 260
64–65 278
66–67 239
68–69 250
70–71 210
72–73 200
74–75 189
76–77 170
78–79 146
80–81 113
82–83 126
84–85 100
86–87 84
88–89 99
90–91 84
92–93 85
94–95 72
96–97 76
98–99 45
100–101 49
102–103 43
104–105 32
106–107 45
108–109 50
110–111 32
112–113 39
114–115 32
116–117 29
118–119 27
120–121 19
122–123 23
124–125 27
126–127 16
128–129 24
130–131 13
132–133 21
134–135 17
136–137 14
138–139 15
140–141 10
142–143 10
144–145 13
146–147 9
148–149 8
150–151 6
152–153 6
154–155 7
156–157 7
158–159 10
160–161 4
162 8
163+ 100
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Overview

What is he best known for?

The fields of study he is best known for:

  • Neuroscience
  • Internal medicine
  • Artificial intelligence

Andreas Horn mainly investigates Deep brain stimulation, Neuroscience, Subthalamic nucleus, Local field potential and Electrophysiology. Deep brain stimulation is closely attributed to Neuroimaging in his work. His Neuroimaging study integrates concerns from other disciplines, such as Atlas, Histology, Artificial intelligence and Pattern recognition.

His research on Neuroscience often connects related areas such as Cohort. His studies deal with areas such as Computed tomography, Deep brain stimulation electrode, Primary motor cortex and Biomedical engineering as well as Subthalamic nucleus. The Local field potential study which covers Parkinson's disease that intersects with Alpha, Beta, Nucleus, Hippocampus and Amygdala.

His most cited work include:

  • Lead-DBS: a toolbox for deep brain stimulation electrode localizations and visualizations. (233 citations)
  • Connectivity Predicts deep brain stimulation outcome in Parkinson disease. (226 citations)
  • Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity. (199 citations)

What are the main themes of his work throughout his whole career to date?

Andreas Horn mainly focuses on Deep brain stimulation, Neuroscience, Subthalamic nucleus, Stimulation and Parkinson's disease. His research integrates issues of Connectome, Connectomics, Neuroimaging, Dystonia and Local field potential in his study of Deep brain stimulation. He interconnects Movement disorders and Artificial intelligence in the investigation of issues within Neuroimaging.

His work deals with themes such as Motor cortex, Levodopa, Beta, Human brain and Atlas, which intersect with Subthalamic nucleus. His biological study spans a wide range of topics, including Histology and Pattern recognition. His research in Stimulation intersects with topics in Internal capsule, Anesthesia and Physical medicine and rehabilitation.

He most often published in these fields:

  • Deep brain stimulation (77.42%)
  • Neuroscience (65.32%)
  • Subthalamic nucleus (45.97%)

What were the highlights of his more recent work (between 2019-2021)?

  • Deep brain stimulation (77.42%)
  • Neuroscience (65.32%)
  • Subthalamic nucleus (45.97%)

In recent papers he was focusing on the following fields of study:

Deep brain stimulation, Neuroscience, Subthalamic nucleus, Stimulation and Physical medicine and rehabilitation are his primary areas of study. His Deep brain stimulation study combines topics in areas such as Connectomics, Neuromodulation, Neuroimaging, Neurostimulation and Dystonia. His studies link Probabilistic logic with Neuroscience.

His Subthalamic nucleus research is included under the broader classification of Parkinson's disease. His work in the fields of Stimulation, such as Brain stimulation, intersects with other areas such as Tourette syndrome. While the research belongs to areas of Physical medicine and rehabilitation, Andreas Horn spends his time largely on the problem of Connectome, intersecting his research to questions surrounding Cohort and Tractography.

Between 2019 and 2021, his most popular works were:

  • A unified connectomic target for deep brain stimulation in obsessive-compulsive disorder (44 citations)
  • Left Prefrontal Connectivity Links Subthalamic Stimulation with Depressive Symptoms. (18 citations)
  • Opportunities of connectomic neuromodulation. (13 citations)

In his most recent research, the most cited papers focused on:

  • Neuroscience
  • Internal medicine
  • Artificial intelligence

His main research concerns Deep brain stimulation, Subthalamic nucleus, Physical medicine and rehabilitation, Neuroscience and Stimulation. He regularly links together related areas like Tractography in his Deep brain stimulation studies. His Physical medicine and rehabilitation research incorporates elements of Human Connectome and Connectome.

His Connectome research includes elements of Depressive symptoms, Disease, Human brain, Subthalamic stimulation and Lenticular fasciculus. His research in Neuromodulation, Transcranial magnetic stimulation and Connectomics are components of Neuroscience. Ventrolateral prefrontal cortex, Anterior cingulate cortex, Nucleus accumbens, Retrospective cohort study and Clinical trial is closely connected to Internal capsule in his research, which is encompassed under the umbrella topic of Stimulation.

Best Publications

  • Technology of deep brain stimulation: current status and future directions.

    Joachim K. Krauss;Nir Lipsman;Tipu Aziz;Alexandre Boutet

  • Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.

    Andreas Horn;Ningfei Li;Till Anselm Dembek;Ari Kappel

  • Connectivity Predicts deep brain stimulation outcome in Parkinson disease.

    Andreas Horn;Martin Reich;Johannes Vorwerk;Ningfei Li

  • Lead-DBS: a toolbox for deep brain stimulation electrode localizations and visualizations.

    Andreas Horn;Andrea A. Kühn

  • Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity.

    Siobhan Ewert;Siobhan Ewert;Philip Plettig;Ningfei Li;Ningfei Li;M. Mallar Chakravarty;M. Mallar Chakravarty

  • Prospective Validation That Subgenual Connectivity Predicts Antidepressant Efficacy of Transcranial Magnetic Stimulation Sites.

    Anne Weigand;Andreas Horn;Ruth Caballero;Danielle Cooke

  • The structural–functional connectome and the default mode network of the human brain

    Andreas Horn;Dirk Ostwald;Marco Reisert;Felix Blankenburg

  • A unified connectomic target for deep brain stimulation in obsessive-compulsive disorder

    Ningfei Li;Juan Carlos Baldermann;Astrid Kibleur;Svenja Treu

  • 7 Tesla MRI of the ex vivo human brain at 100 micron resolution

    Brian L. Edlow;Azma Mareyam;Andreas Horn;Jonathan R. Polimeni

  • Toward an electrophysiological "sweet spot" for deep brain stimulation in the subthalamic nucleus.

    Andreas Horn;Andreas Horn;Wolf-Julian Neumann;Katharina Degen;Gerd-Helge Schneider

  • Connectivity Profile Predictive of Effective Deep Brain Stimulation in Obsessive-Compulsive Disorder.

    Juan Carlos Baldermann;Corina Melzer;Alexandra Zapf;Sina Kohl

  • Brain stimulation and brain lesions converge on common causal circuits in neuropsychiatric disease

    Shan H. Siddiqi;Frederic L.W.V.J. Schaper;Frederic L.W.V.J. Schaper;Andreas Horn;Andreas Horn;Joey Hsu

  • A Human Depression Circuit Derived From Focal Brain Lesions.

    Jaya L. Padmanabhan;Danielle Cooke;Juho Joutsa;Shan H. Siddiqi

  • Deep brain stimulation suppresses pallidal low frequency activity in patients with phasic dystonic movements

    Ewgenia Barow;Wolf-Julian Neumann;Christof Brücke;Julius Huebl

  • Probabilistic sweet spots predict motor outcome for deep brain stimulation in Parkinson disease.

    Till A. Dembek;Jan Roediger;Andreas Horn;Paul Reker

  • Lesion network localization of criminal behavior

    R. Ryan Darby;R. Ryan Darby;Andreas Horn;Andreas Horn;Fiery Cushman;Michael D. Fox

  • Lead-DBS v3.0: Mapping deep brain stimulation effects to local anatomy and global networks

    Unknown

  • Long term correlation of subthalamic beta band activity with motor impairment in patients with Parkinson's disease.

    Wolf-Julian Neumann;Franziska Staub-Bartelt;Andreas Horn;Julia Schanda

  • Connectivity profile of thalamic deep brain stimulation to effectively treat essential tremor.

    Bassam Al-Fatly;Siobhan Ewert;Dorothee Kübler;Daniel Kroneberg

  • A localized pallidal physiomarker in cervical dystonia.

    Wolf‐Julian Neumann;Andreas Horn;Siobhan Ewert;Julius Huebl

  • Opportunities of connectomic neuromodulation.

    Andreas Horn;Michael D. Fox;Michael D. Fox;Michael D. Fox

  • Cortico-pallidal oscillatory connectivity in patients with dystonia

    Wolf-Julian Neumann;Wolf-Julian Neumann;Ashwani Jha;Antje Bock;Julius Huebl

Frequent Co-Authors

Andrea A. Kühn
Andrea A. Kühn Charité - University Medicine Berlin
Wolf-Julian Neumann
Wolf-Julian Neumann Charité - University Medicine Berlin
Michael D. Fox
Michael D. Fox Harvard University
Gerd-Helge Schneider
Gerd-Helge Schneider Charité - University Medicine Berlin
Veerle Visser-Vandewalle
Veerle Visser-Vandewalle University of Cologne
Peter Brown
Peter Brown University of Oxford
Joachim K. Krauss
Joachim K. Krauss Hannover Medical School
Andres M. Lozano
Andres M. Lozano University of Toronto
Jens Volkmann
Jens Volkmann University of Würzburg
Ludvic Zrinzo
Ludvic Zrinzo University College London

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