Andreas Husch

2.1k total citations · 1 hit paper
34 papers, 961 citations indexed

About

Andreas Husch is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Andreas Husch has authored 34 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biophysics. Recurrent topics in Andreas Husch's work include Neurological disorders and treatments (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers) and Medical Image Segmentation Techniques (5 papers). Andreas Husch is often cited by papers focused on Neurological disorders and treatments (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers) and Medical Image Segmentation Techniques (5 papers). Andreas Husch collaborates with scholars based in Luxembourg, Germany and United States. Andreas Husch's co-authors include Frank Hertel, Jorge Gonçalves, Peter Gemmar, Mikkel Steen Petersen, Andreas Horn, Marco Reisert, Qianqian Fang, Johannes Vorwerk, Thushara Perera and Fang‐Cheng Yeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Andreas Husch

33 papers receiving 957 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.

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

2018 474 citations Andreas Horn, Ningfei Li 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
Andreas Husch Luxembourg	13	655	313	211	205	182	34	961
Silvia Tommasin Italy	17	219 0.3×	92 0.3×	178 0.8×	183 0.9×	93 0.5×	43	785
Thushara Perera Australia	17	787 1.2×	528 1.7×	281 1.3×	96 0.5×	153 0.8×	46	1.3k
Jidan Zhong Canada	17	285 0.4×	113 0.4×	204 1.0×	331 1.6×	80 0.4×	25	762
Radhika Madhavan United States	15	308 0.5×	566 1.8×	651 3.1×	113 0.6×	97 0.5×	37	1.1k
Neil Mahant Australia	19	1.3k 2.0×	969 3.1×	544 2.6×	45 0.2×	123 0.7×	56	1.8k
Osamu Iizuka Japan	15	308 0.5×	336 1.1×	192 0.9×	398 1.9×	35 0.2×	40	1.1k
Sara Fernández-Vidal France	15	406 0.6×	202 0.6×	168 0.8×	101 0.5×	79 0.4×	34	682
Oula Puonti Denmark	12	129 0.2×	124 0.4×	391 1.9×	387 1.9×	426 2.3×	34	987
Venkateswaran Rajagopalan United States	16	281 0.4×	46 0.1×	155 0.7×	174 0.8×	118 0.6×	42	778
Linda Marrakchi‐Kacem France	10	160 0.2×	74 0.2×	233 1.1×	278 1.4×	56 0.3×	16	635

Countries citing papers authored by Andreas Husch

Since Specialization

Citations

This map shows the geographic impact of Andreas Husch'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 Andreas Husch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Husch more than expected).

Fields of papers citing papers by Andreas Husch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Husch. 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 Andreas Husch. The network helps show where Andreas Husch may publish in the future.

Co-authorship network of co-authors of Andreas Husch

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Husch. A scholar is included among the top collaborators of Andreas Husch 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 Andreas Husch. Andreas Husch 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

Bie, Rob M.A. de, Bernadette C.M. van Wijk, P.R. Schuurman, et al.. (2025). Prediction of STN-DBS outcome in Parkinson’s disease using machine learning. VU Research Portal. 11. 1–9.

Hertel, Frank, et al.. (2025). Exploring adult glioma through MRI: A review of publicly available datasets to guide efficient image analysis. Neuro-Oncology Advances. 7(1). vdae197–vdae197. 1 indexed citations

Mombaerts, Laurent, Andreas Husch, Katrin Frauenknecht, et al.. (2024). Computational Assessment of Spectral Heterogeneity within Fresh Glioblastoma Tissue Using Raman Spectroscopy and Machine Learning Algorithms. Molecules. 29(5). 979–979. 5 indexed citations

Gérardy, Jean‐Jacques, Marily Theodoropoulou, Laurent Mombaerts, et al.. (2024). Impact of Formalin- and Cryofixation on Raman Spectra of Human Tissues and Strategies for Tumor Bank Inclusion. Molecules. 29(5). 1167–1167. 1 indexed citations

Husch, Andreas, et al.. (2024). Towards automatic home-based sleep apnea estimation using deep learning. npj Digital Medicine. 7(1). 144–144. 6 indexed citations

Cruz, Beatriz García Santa, Andreas Husch, & Frank Hertel. (2023). Machine learning models for diagnosis and prognosis of Parkinson's disease using brain imaging: general overview, main challenges, and future directions. Frontiers in Aging Neuroscience. 15. 1216163–1216163. 20 indexed citations

Cruz, Beatriz García Santa, Gemma Gomez‐Giro, Cláudia Saraiva, et al.. (2022). Generalising from conventional pipelines using deep learning in high-throughput screening workflows. Scientific Reports. 12(1). 11465–11465. 3 indexed citations

Magni, Stefano, Andreas Husch, Atte Aalto, et al.. (2021). Dynamical SPQEIR model assesses the effectiveness of non-pharmaceutical interventions against COVID-19 epidemic outbreaks. PLoS ONE. 16(5). e0252019–e0252019. 7 indexed citations

Mombaerts, Laurent, et al.. (2021). Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms. SHILAP Revista de lepidopterología. 2. 26–26. 5 indexed citations

10.

Aalto, Atte, Laurent Mombaerts, Aymeric Fouquier d’Hérouël, et al.. (2021). Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden. Journal of Theoretical Biology. 530. 110874–110874. 26 indexed citations

11.

Borgmann, Felix Bruno Kleine, Andreas Husch, Laurent Mombaerts, et al.. (2021). Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy. Scientific Reports. 11(1). 23583–23583. 18 indexed citations

12.

Cruz, Beatriz García Santa, Matías Nicolás Bossa, Jan Sölter, & Andreas Husch. (2021). Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem. Medical Image Analysis. 74. 102225–102225. 44 indexed citations

13.

Gérardy, Jean‐Jacques, et al.. (2021). Application of Raman spectroscopy for detection of histologically distinct areas in formalin-fixed paraffin-embedded glioblastoma. Neuro-Oncology Advances. 3(1). vdab077–vdab077. 12 indexed citations

14.

Horn, Andreas, Ningfei Li, Till A. Dembek, et al.. (2018). Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging. NeuroImage. 184. 293–316. 474 indexed citations breakdown →

15.

Husch, Andreas, Mikkel Steen Petersen, Peter Gemmar, et al.. (2018). Post-operative deep brain stimulation assessment: Automatic data integration and report generation. Brain stimulation. 11(4). 863–866. 13 indexed citations

16.

Husch, Andreas, Mikkel Steen Petersen, Peter Gemmar, Jorge Gonçalves, & Frank Hertel. (2017). PaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation. NeuroImage Clinical. 17. 80–89. 161 indexed citations

17.

Hertel, Frank, Andreas Husch, Georges Dooms, Florian Bernard, & Peter Gemmar. (2015). Susceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning. Stereotactic and Functional Neurosurgery. 93(5). 303–308. 8 indexed citations

18.

Husch, Andreas, et al.. (2014). Adult spinal V2a interneurons show increased excitability and serotonin-dependent bistability. Journal of Neurophysiology. 113(4). 1124–1134. 29 indexed citations

19.

Husch, Andreas, et al.. (2014). DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions. Journal of Visualized Experiments. 8 indexed citations

20.

Bernard, Florian, Peter Gemmar, Andreas Husch, & Frank Hertel. (2012). Improvements on the Feasibility of Active Shape Model-based Subthalamic Nucleus Segmentation. Biomedizinische Technik/Biomedical Engineering. 57(SI-1-Track-B). 3 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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