Simon Andermatt

641 total citations
8 papers, 82 citations indexed

About

Simon Andermatt is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Simon Andermatt has authored 8 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Simon Andermatt's work include Atomic and Subatomic Physics Research (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Multiple Sclerosis Research Studies (2 papers). Simon Andermatt is often cited by papers focused on Atomic and Subatomic Physics Research (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Multiple Sclerosis Research Studies (2 papers). Simon Andermatt collaborates with scholars based in Switzerland, Chile and Germany. Simon Andermatt's co-authors include Philippe C. Cattin, Grzegorz Bauman, Robin Sandkühler, Philipp Latzin, Oliver Bieri, Francesco Santini, Orso Pusterla, Ernst‐Wilhelm Radue, Kathryn Ramsey and Tim Sinnecker and has published in prestigious journals such as Magnetic Resonance in Medicine, Human Brain Mapping and Frontiers in Neuroscience.

In The Last Decade

Simon Andermatt

8 papers receiving 82 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Andermatt Switzerland	5	38	28	16	15	14	8	82
Samuel W. Fielden United States	9	160 4.2×	42 1.5×	16 1.0×	8 0.5×	9 0.6×	24	232
Brendan Moloney United States	7	109 2.9×	15 0.5×	4 0.3×	8 0.5×	8 0.6×	8	185
Robin Sandkühler Switzerland	5	36 0.9×	33 1.2×	25 1.6×	4 0.3×	2 0.1×	11	76
Ezequiel de la Rosa Germany	6	58 1.5×	5 0.2×	2 0.1×	18 1.2×	15 1.1×	10	125
Fábio Nery United Kingdom	7	165 4.3×	57 2.0×	16 1.0×	3 0.2×	2 0.1×	14	210
Patrik Raudaschl Austria	5	44 1.2×	15 0.5×		25 1.7×	4 0.3×	6	105
Gerome Vivar Germany	7	34 0.9×	16 0.6×	1 0.1×	56 3.7×	15 1.1×	7	126
Tanja Janjic Austria	6	29 0.8×	34 1.2×	2 0.1×	7 0.5×		9	87
Kelly Payette United Kingdom	6	45 1.2×	12 0.4×	3 0.2×	6 0.4×		27	121
Carlos Castro‐González Spain	8	23 0.6×	7 0.3×	7 0.4×		7 0.5×	15	131

Countries citing papers authored by Simon Andermatt

Since Specialization

Citations

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

Fields of papers citing papers by Simon Andermatt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Andermatt

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Andermatt. A scholar is included among the top collaborators of Simon Andermatt 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 Simon Andermatt. Simon Andermatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Pusterla, Orso, Robin Sandkühler, Simon Andermatt, et al.. (2024). An automated pipeline for computation and analysis of functional ventilation and perfusion lung MRI with matrix pencil decomposition: TrueLung. Zeitschrift für Medizinische Physik. 35(4). 452–469. 2 indexed citations

Pusterla, Orso, Rahel Heule, Francesco Santini, et al.. (2022). MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets. Magnetic Resonance in Medicine. 88(1). 391–405. 9 indexed citations

Bauman, Grzegorz, Simon Andermatt, Francesco Santini, et al.. (2020). The impact of segmentation on whole‐lung functional MRI quantification: Repeatability and reproducibility from multiple human observers and an artificial neural network. Magnetic Resonance in Medicine. 85(2). 1079–1092. 27 indexed citations

Sander, Laura, Simon Pezold, Simon Andermatt, et al.. (2020). Improving Accuracy of Brainstem MRI Volumetry: Effects of Age and Sex, and Normalization Strategies. Frontiers in Neuroscience. 14. 2 indexed citations

Sander, Laura, Simon Pezold, Simon Andermatt, et al.. (2019). Accurate, rapid and reliable, fully automated MRI brainstem segmentation for application in multiple sclerosis and neurodegenerative diseases. Human Brain Mapping. 40(14). 4091–4104. 25 indexed citations

Pusterla, Orso, Grzegorz Bauman, Simon Andermatt, et al.. (2019). Inter-reader variation in lung segmentation of functional lung MRI quantification. PA333–PA333. 1 indexed citations

Sandkühler, Robin, et al.. (2019). Recurrent Registration Neural Networks for Deformable Image Registration. arXiv (Cornell University). 32. 8755–8765. 11 indexed citations

Andermatt, Simon, Athina Papadopoulou, Ernst‐Wilhelm Radue, Till Sprenger, & Philippe C. Cattin. (2017). Tracking the Evolution of Cerebral Gadolinium‐Enhancing Lesions to Persistent T1 Black Holes in Multiple Sclerosis: Validation of a Semiautomated Pipeline. Journal of Neuroimaging. 27(5). 469–475. 5 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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