D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Neuroscience D-index 37 Citations 4,870 90 World Ranking 3857 National Ranking 339

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Andreas Horn;Dirk Ostwald;Marco Reisert;Felix Blankenburg.
NeuroImage (2014)

284 Citations

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

Andreas Horn;Andrea A. Kühn.
NeuroImage (2015)

266 Citations

Connectivity Predicts deep brain stimulation outcome in Parkinson disease.

Andreas Horn;Martin Reich;Johannes Vorwerk;Ningfei Li.
Annals of Neurology (2017)

241 Citations

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.
NeuroImage (2017)

214 Citations

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

Andreas Horn;Ningfei Li;Till Anselm Dembek;Ari Kappel.
NeuroImage (2019)

202 Citations

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

Anne Weigand;Andreas Horn;Ruth Caballero;Danielle Cooke.
Biological Psychiatry (2017)

184 Citations

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

Ewgenia Barow;Wolf-Julian Neumann;Christof Brücke;Julius Huebl.
Brain (2014)

131 Citations

Lesion network localization of criminal behavior

R. Ryan Darby;R. Ryan Darby;Andreas Horn;Andreas Horn;Fiery Cushman;Michael D. Fox.
Proceedings of the National Academy of Sciences of the United States of America (2018)

107 Citations

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.
Human Brain Mapping (2017)

107 Citations

Cortico-pallidal oscillatory connectivity in patients with dystonia

Wolf-Julian Neumann;Wolf-Julian Neumann;Ashwani Jha;Antje Bock;Julius Huebl.
Brain (2015)

105 Citations

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