Andreas Weinmann

949 citations
55 papers · 513 · h-index 12

Impact in

Papers in

Andreas Weinmann

44 papers receiving 481 citations

Peers

Andreas Weinmann
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 209
  • Computational Mechanics 170
  • Computational Mathematics 3
  • Mathematical Physics 40
  • Computer Graphics and Computer-Aided Design 15
Replace Pavel Mrázek⋆ with:
Pavel Mrázek⋆ Germany
Emmanuel Soubies France
Triet Le United States
Rüyam Acar Türkiye
Ganesh Sundaramoorthi United States
Greg Ongie United States
Shai Dekel Israel
David M. Strong United States
Fritz Keinert United States
Jeff Calder United States
Andreas Weinmann relative to Pavel Mrázek⋆ Germany Pavel Mrázek⋆'s profile →
Citations per field
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Citations per year

Countries citing papers authored by Andreas Weinmann

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Weinmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201671
2 201469
3 201446
4 201644
5 201524
6 201724
7 201421
8 201016
9 201516
10 201814
11 201612
12 200912
13 201611
14 201910
15 201410
16 20179
17 20128
18 20228
19 20168
20 20248

About Andreas Weinmann

Andreas Weinmann is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Biomedical Engineering, Molecular Biology and Mathematical Physics, having authored 55 papers that have together received 513 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (10 papers), Geomagnetism and Paleomagnetism Studies (9 papers), Image and Signal Denoising Methods (9 papers), Sparse and Compressive Sensing Techniques (8 papers), Medical Image Segmentation Techniques (8 papers), Advanced Numerical Analysis Techniques (5 papers), Numerical methods in inverse problems (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Computational Mechanics (170 citations), Computational Mathematics (3 citations), Mathematical Physics (40 citations) and Computer Graphics and Computer-Aided Design (15 citations). Andreas Weinmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin Storath, Laurent Demaret, Ronny Bergmann, Gabriele Steidl, Miroslav Bačák, Alexander Weber, Martin Hofmann, Tobias Knopp, Michaël Unser and Johannes Salamon. Their work appears in journals such as IEEE Transactions on Image Processing, SIAM Journal on Imaging Sciences, IEEE Transactions on Medical Imaging, SIAM Journal on Scientific Computing and Physics in Medicine and Biology.

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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