Michael Moeller

2.2k citations
51 papers · 923 indexed · 1 hit paper · h-index 12

Impact in

Papers in

Michael Moeller

49 papers receiving 889 citations

Hit Papers

An Adaptive IHS Pan-Sharpening Method 2010 · 368 citations
3680+5+10Years since publication100200300

Peers

Michael Moeller
Comparison fields: 5 of 89
  • Media Technology 429
  • Computer Vision and Pattern Recognition 434
  • Surfaces, Coatings and Films 49
  • Biomedical Engineering 256
  • Computer Graphics and Computer-Aided Design 18
Replace Esteban Vera with:
Esteban Vera Chile
Tao Yue China
Yang Song China
Jumpei Tsujiuchi Japan
Hong Zhao China
Markku Mäkitalo Finland
Fred M. Dickey United States
Konstantinos Falaggis Poland
Manoj Kumar India
Michael Moeller relative to Esteban Vera Chile Esteban Vera's profile →
Citations per field
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Esteban Vera · 1×
Citations per year

Countries citing papers authored by Michael Moeller

Since Specialization
Citations

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

Fields of papers citing papers by Michael Moeller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Adaptive IHS Pan-Sharpening Method
Hit paper breakdown →
2010368
2 2009111
3 200955
4 201642
5 200540
6 201432
7 200523
8 201821
9 201218
10 201715
11 202014
12 202313
13 202411
14 201311
15 201110
16 201410
17 20159
18 20068
19 20228
20 20168

About Michael Moeller

Michael Moeller is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 51 papers that have together received 923 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (9 papers), Numerical methods in inverse problems (6 papers), Optical Imaging and Spectroscopy Techniques (6 papers), Human Pose and Action Recognition (5 papers), Medical Image Segmentation Techniques (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers) and 3D Shape Modeling and Analysis (4 papers). The work is most often cited by research in Media Technology (429 citations), Computer Vision and Pattern Recognition (434 citations), Surfaces, Coatings and Films (49 citations), Biomedical Engineering (256 citations) and Computer Graphics and Computer-Aided Design (18 citations). Michael Moeller has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Todd Wittman, M. M. Strait, Daria Merkurjev, Christian Moormann, Daniel Cremers, Andrea L. Bertozzi, Ulrich Plachetka, Marc A. Verschuuren, Michael Hornung and Ran Ji. Their work appears in journals such as Optics Letters, SIAM Journal on Imaging Sciences, International Journal of Computer Vision, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Optics Express.

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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