Michael Möller

14 papers receiving 300 citations

Peers

Michael Möller
Comparison fields: 5 of 66
  • Media Technology 118
  • Computational Mathematics 5
  • Computer Vision and Pattern Recognition 141
  • Computational Mechanics 90
  • Mathematical Physics 20
Replace John Paul Ward with:
John Paul Ward Switzerland
Na Qi China
Zhengxing Cheng China
Tuan Q. Pham Netherlands
Xiaohui Zhang China
Yonggang Su China
Youming Liu China
Inbarasan Muniraj Ireland
Andrea Martinelli Italy
Michael Möller relative to John Paul Ward Switzerland John Paul Ward's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Möller

Since Specialization
Citations

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

Fields of papers citing papers by Michael Möller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012114
2 201275
3 200836
4 201224
5 200222
6 201316
7 201313
8 20236
9 20224
10 20223
11 20241
12
Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution.
20161
13 20141
14 20181
15 20230

About Michael Möller

Michael Möller is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering, Mechanics of Materials and Media Technology, having authored 15 papers that have together received 317 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Terahertz technology and applications (4 papers), Thermography and Photoacoustic Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Numerical methods in inverse problems (2 papers), Advanced Vision and Imaging (2 papers), Remote-Sensing Image Classification (2 papers) and Ultrasonics and Acoustic Wave Propagation (2 papers). The work is most often cited by research in Media Technology (118 citations), Computational Mathematics (5 citations), Computer Vision and Pattern Recognition (141 citations), Computational Mechanics (90 citations) and Mathematical Physics (20 citations). Michael Möller has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Burger, Stanley Osher, Guillermo Sapiro, Ernie Esser, Jack Xin, Todd Wittman, Andrea L. Bertozzi, Karine Mondon, Robert Gurny and Martin Benning. Their work appears in journals such as Mathematics of Computation, The Visual Computer, IEEE Transactions on Image Processing, CHIMIA International Journal for Chemistry and IEEE Transactions on Terahertz Science and Technology.

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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