Peter Neher

4.6k citations
35 papers · 997 · 1 hit paper · h-index 13

Impact in

Papers in

Peter Neher

31 papers receiving 987 citations

Peter Neher's Hit Papers

TractSeg - Fast and accurate white matter tract segmentation 2018 · 373 citations
3730+2+5Years since publication100200300

Peers

Peter Neher
Comparison fields: 5 of 88
  • Computational Mathematics 21
  • Radiology, Nuclear Medicine and Imaging 785
  • Pediatrics, Perinatology and Child Health 232
  • Cognitive Neuroscience 225
  • Orthopedics and Sports Medicine 60
Replace Bagrat Amirbekian with:
Bagrat Amirbekian United States
John B. Colby United States
Laura Rigolo United States
Jakob Wasserthal Switzerland
Elias Kellner Germany
Laurent Hermoye Belgium
Jonathan A.D. Farrell United States
Mark C. DeLano United States
Lisa Jonasson Switzerland
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Citations per year

Countries citing papers authored by Peter Neher

Since Specialization
Citations

This map shows the geographic impact of Peter Neher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Neher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Neher more than expected).

Fields of papers citing papers by Peter Neher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Neher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Neher. The network helps show where Peter Neher may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Neher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Neher Line = papers co-authored together Peter Neher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TractSeg - Fast and accurate white matter tract segmentation
Hit paper breakdown →
2018373
2 2019116
3 201373
4 201263
5 202061
6 201553
7 202037
8 201736
9 201533
10 202223
11 201917
12 201217
13 202313
14 202111
15 201210
16 20218
17 20248
18 20247
19 20216
20 20245

About Peter Neher

Peter Neher is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Artificial Intelligence and Genetics, having authored 35 papers that have together received 997 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (18 papers), Advanced MRI Techniques and Applications (14 papers), Fetal and Pediatric Neurological Disorders (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Functional Brain Connectivity Studies (5 papers), AI in cancer detection (3 papers), MRI in cancer diagnosis (3 papers) and Spinal Dysraphism and Malformations (3 papers). The work is most often cited by research in Computational Mathematics (21 citations), Radiology, Nuclear Medicine and Imaging (785 citations), Pediatrics, Perinatology and Child Health (232 citations), Cognitive Neuroscience (225 citations) and Orthopedics and Sports Medicine (60 citations). Peter Neher has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Klaus Maier‐Hein, Jakob Wasserthal, Dušan Hirjak, Bram Stieltjes, Maxime Descoteaux, Frederik B. Laun, Jean‐Christophe Houde, Marco Reisert, Stefan Fritze and Georg Northoff. Their work appears in journals such as NeuroImage, iScience, World Neurosurgery, Nature Communications and Schizophrenia Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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