Andreas Mang

37 papers receiving 319 citations

Peers

Andreas Mang
Comparison fields: 5 of 78
  • Modeling and Simulation 100
  • Computer Vision and Pattern Recognition 90
  • Radiology, Nuclear Medicine and Imaging 85
  • Genetics 34
  • Microbiology 17
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Aaron Sim United Kingdom
Guang Zhang China
Cliburn Chan United States
Zhaoqing Li China
Sewoong Kim South Korea
Geoffrey W. Hoffmann Canada
Amit K. Verma India
Mihaela Oprea United States
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Wang Jin Australia
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Mang

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Mang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Mang, 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 Andreas Mang Line = papers co-authored together Andreas Mang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201549
2 202032
3 201531
4
AN INEXACT NEWTON-KRYLOV ALGORITHM FOR CONSTRAINED DIFFEOMORPHIC IMAGE REGISTRATION
201628
5 201221
6 201919
7 201514
8 202013
9 201212
10 200811
11 201010
12 200610
13 20179
14 20129
15 20059
16 20138
17 20125
18 20135
19 20175
20 20144

About Andreas Mang

Andreas Mang is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Molecular Biology and Computational Mechanics, having authored 40 papers that have together received 331 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (17 papers), Medical Image Segmentation Techniques (11 papers), MRI in cancer diagnosis (7 papers), Gene Regulatory Network Analysis (7 papers), Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Microtubule and mitosis dynamics (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Modeling and Simulation (100 citations), Computer Vision and Pattern Recognition (90 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Genetics (34 citations) and Microbiology (17 citations). Andreas Mang has collaborated with scholars based in Germany, United States and India. Frequent co-authors include George Biros, Thorsten M. Buzug, Amir Gholami, Stefan Becker, Edouard Timsit, Christos Davatzikos, Sébastien Buczinski, Calvin W. Booker, Spyridon Bakas and Miriam Mehl. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Journal of Thoracic Oncology, Journal of Computational Physics, Medical Physics and Prehospital and Disaster Medicine.

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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