Peter Neher

4.6k total citations · 1 hit paper
35 papers, 997 citations indexed

About

Peter Neher is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Peter Neher has authored 35 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pediatrics, Perinatology and Child Health and 5 papers in Cognitive Neuroscience. Recurrent topics in Peter Neher's work include Advanced Neuroimaging Techniques and Applications (18 papers), Advanced MRI Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Peter Neher is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (18 papers), Advanced MRI Techniques and Applications (14 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Peter Neher collaborates with scholars based in Germany, Canada and United States. Peter Neher's 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 Marc-Alexandre Côté and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Peter Neher

31 papers receiving 987 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TractSeg - Fast and accurate white matter tract segmentation

2018 373 citations Jakob Wasserthal, Peter Neher et al. NeuroImage profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Neher Germany	13	785	232	225	86	75	35	997
Mark C. DeLano United States	16	528 0.7×	198 0.9×	178 0.8×	186 2.2×	99 1.3×	30	1.2k
Jakob Wasserthal Switzerland	10	867 1.1×	157 0.7×	157 0.7×	71 0.8×	75 1.0×	23	1.2k
Bagrat Amirbekian United States	9	1.1k 1.4×	210 0.9×	476 2.1×	101 1.2×	123 1.6×	12	1.4k
Laura Rigolo United States	19	825 1.1×	267 1.2×	487 2.2×	75 0.9×	68 0.9×	36	1.1k
Lisa Jonasson Switzerland	10	835 1.1×	200 0.9×	197 0.9×	44 0.5×	92 1.2×	16	1.1k
Ryusuke Irie Japan	19	752 1.0×	135 0.6×	157 0.7×	62 0.7×	244 3.3×	46	1.0k
Laurent Hermoye Belgium	13	724 0.9×	363 1.6×	261 1.2×	100 1.2×	58 0.8×	18	1.1k
Jonathan A.D. Farrell United States	17	1.3k 1.7×	214 0.9×	269 1.2×	136 1.6×	115 1.5×	18	1.6k
Hae Won Shin United States	15	377 0.5×	76 0.3×	208 0.9×	122 1.4×	89 1.2×	29	834
Kenji Ino Japan	18	702 0.9×	134 0.6×	197 0.9×	83 1.0×	199 2.7×	63	1.2k

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-authorship network of co-authors of Peter Neher

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Neher. A scholar is included among the top collaborators of Peter Neher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Neher. Peter Neher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Graber, Jerome, Lorenz A. Kapsner, Jessica Eberle, et al.. (2025). AI-Based screening for thoracic aortic aneurysms in routine breast MRI. Nature Communications. 16(1). 5299–5299.

Weinhold, Niels, Sandra Sauer, Marc‐Steffen Raab, et al.. (2025). Advanced Automated Model for Robust Bone Marrow Segmentation in Whole-body MRI. Academic Radiology. 32(5). 2824–2835. 1 indexed citations

Mäurer, M., Kianush Karimian‐Jazi, Martin Jakobs, et al.. (2025). LINNDA: Lymphoma identification through neural network detection aid. iScience. 28(12). 114153–114153.

Fritze, Stefan, et al.. (2025). Gait examination in catatonia using 3D optical markerless motion tracking. Schizophrenia Research. 281. 249–259. 2 indexed citations

Mäurer, M., Martin Jakobs, Kianush Karimian‐Jazi, et al.. (2025). u-LINNDA: A protocol for user-optimized lymphoma identification through neural network detection aid. STAR Protocols. 6(4). 104176–104176. 1 indexed citations

Fischer, Maximilian, Peter Neher, Peter J. Schüffler, et al.. (2025). Unlocking the potential of digital pathology: Novel baselines for compression. Journal of Pathology Informatics. 17. 100421–100421.

Neher, Peter, Stefan Fritze, Georg Northoff, et al.. (2024). Deciphering white matter microstructural alterations in catatonia according to ICD-11: replication and machine learning analysis. Molecular Psychiatry. 30(5). 2095–2107. 5 indexed citations

Lenga, Pavlina, Moritz Scherer, Peter Neher, et al.. (2024). Q-Ball high-resolution fiber tractography: Optimizing corticospinal tract delineation near gliomas and its role in the prediction of postoperative motor deficits– A proof of concept study. SHILAP Revista de lepidopterología. 4. 104139–104139. 1 indexed citations

Neher, Peter, Maximilian Zenk, Moon Kim, et al.. (2024). Real-world federated learning in radiology: hurdles to overcome and benefits to gain. Journal of the American Medical Informatics Association. 32(1). 193–205. 5 indexed citations

10.

Sachpekidis, Christos, Lukas John, Peter Neher, et al.. (2024). Splenic T2 signal intensity loss on MRI is associated with disease burden in multiple myeloma. European Radiology. 35(6). 3576–3586.

11.

Mäurer, M., Kianush Karimian‐Jazi, Martin Jakobs, et al.. (2024). Deep learning aided preoperative diagnosis of primary central nervous system lymphoma. iScience. 27(2). 109023–109023. 4 indexed citations

12.

Hirjak, Dušan, et al.. (2023). Microstructural white matter biomarkers of symptom severity and therapy outcome in catatonia: Rationale, study design and preliminary clinical data of the whiteCAT study. Schizophrenia Research. 263. 160–168. 13 indexed citations

13.

Drobnjak, Ivana, Peter Neher, Cyril Poupon, & Tabinda Sarwar. (2021). Physical and digital phantoms for validating tractography and assessing artifacts. NeuroImage. 245. 118704–118704. 6 indexed citations

14.

Wasserthal, Jakob, Klaus Maier‐Hein, Peter Neher, et al.. (2020). Multiparametric mapping of white matter microstructure in catatonia. Neuropsychopharmacology. 45(10). 1750–1757. 61 indexed citations

15.

Becker, Daniela, Moritz Scherer, Peter Neher, et al.. (2019). Going Beyond Diffusion Tensor Imaging Tractography in Eloquent Glioma Surgery–High-Resolution Fiber Tractography: Q-Ball or Constrained Spherical Deconvolution?. World Neurosurgery. 134. e596–e609. 17 indexed citations

16.

Wasserthal, Jakob, Peter Neher, & Klaus Maier‐Hein. (2018). TractSeg - Fast and accurate white matter tract segmentation. NeuroImage. 183. 239–253. 373 indexed citations breakdown →

17.

Neher, Peter, Marc-Alexandre Côté, Jean‐Christophe Houde, Maxime Descoteaux, & Klaus Maier‐Hein. (2017). Fiber tractography using machine learning. NeuroImage. 158. 417–429. 36 indexed citations

18.

Neher, Peter, Maxime Descoteaux, Jean‐Christophe Houde, Bram Stieltjes, & Klaus Maier‐Hein. (2015). Strengths and weaknesses of state of the art fiber tractography pipelines – A comprehensive in-vivo and phantom evaluation study using Tractometer. Medical Image Analysis. 26(1). 287–305. 53 indexed citations

19.

Burdumy, Michael, Armin Luik, Peter Neher, et al.. (2012). Comparing measured and simulated wave directions in the left atrium – a workflow for model personalization and validation. Biomedizinische Technik/Biomedical Engineering. 57(2). 79–87. 10 indexed citations

20.

Neher, Peter, et al.. (2012). MITK Diffusion Imaging. Methods of Information in Medicine. 51(5). 441–448. 63 indexed citations

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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