Michael Moeller

2.2k total citations · 1 hit paper
51 papers, 923 citations indexed

About

Michael Moeller is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Michael Moeller has authored 51 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 15 papers in Computational Mechanics and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Michael Moeller's work include Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (9 papers) and Numerical methods in inverse problems (6 papers). Michael Moeller is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (9 papers) and Numerical methods in inverse problems (6 papers). Michael Moeller collaborates with scholars based in Germany, United States and United Kingdom. Michael Moeller's co-authors include Todd Wittman, Daria Merkurjev, M. M. Strait, Christian Moormann, Daniel Cremers, Andrea L. Bertozzi, Ulrich Plachetka, Marc A. Verschuuren, Michael Hornung and Ran Ji and has published in prestigious journals such as The Journal of the Acoustical Society of America, Optics Letters and Optics Express.

In The Last Decade

Michael Moeller

49 papers receiving 889 citations

Hit Papers

An Adaptive IHS Pan-Sharpening Method 2010 2026 2015 2020 2010 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An Adaptive IHS Pan-Sharpening Method
    2010 368 citations Michael Moeller et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Moeller Germany 12 434 429 256 155 99 51 923
Tao Yue China 18 401 0.9× 222 0.5× 315 1.2× 183 1.2× 41 0.4× 85 1.1k
Esteban Vera Chile 15 390 0.9× 256 0.6× 289 1.1× 297 1.9× 60 0.6× 70 1.1k
Yang Song China 21 990 2.3× 276 0.6× 142 0.6× 176 1.1× 62 0.6× 160 1.5k
Jiaming Qian China 15 1.0k 2.3× 464 1.1× 194 0.8× 274 1.8× 28 0.3× 38 1.5k
Chia-Hsiang Lin Taiwan 19 362 0.8× 720 1.7× 175 0.7× 468 3.0× 36 0.4× 88 1.5k
Matthew O’Toole United States 19 630 1.5× 216 0.5× 435 1.7× 123 0.8× 143 1.4× 52 1.6k
Wenxian Zheng China 6 413 1.0× 234 0.5× 110 0.4× 54 0.3× 88 0.9× 11 735
Caroline Fossati France 13 325 0.7× 257 0.6× 59 0.2× 73 0.5× 33 0.3× 43 713
Tian-Hui Ma China 22 856 2.0× 391 0.9× 100 0.4× 128 0.8× 99 1.0× 47 1.5k
Markku Mäkitalo Finland 9 529 1.2× 257 0.6× 127 0.5× 26 0.2× 83 0.8× 25 684

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-authorship network of co-authors of Michael Moeller

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

All Works

20 of 20 papers shown
1.
2.
Moeller, Michael, et al.. (2024). An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness. International Journal of Computer Vision. 133(5). 2635–2652. 1 indexed citations
3.
Moeller, Michael, et al.. (2024). Robustness and exploration of variational and machine learning approaches to inverse problems: An overview. GAMM-Mitteilungen. 47(4). 1 indexed citations
4.
Kuehne, Hilde, et al.. (2024). WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(4). 1–21. 11 indexed citations
5.
Moeller, Michael, et al.. (2024). Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters. MADOC (University of Mannheim). 1–10. 1 indexed citations
6.
Laerhoven, Kristof Van, et al.. (2024). Weak-Annotation of HAR Datasets using Vision Foundation Models. 55–62. 1 indexed citations
7.
Moeller, Michael, et al.. (2024). Temporal Action Localization for Inertial-based Human Activity Recognition. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(4). 1–19. 1 indexed citations
8.
Bauermeister, Hartmut, et al.. (2024). Convergent Data-Driven Regularizations for CT Reconstruction. Communications on Applied Mathematics and Computation. 6(2). 1342–1368. 4 indexed citations
9.
Choubey, Bhaskar, et al.. (2024). Variable layout CMOS pixels for end-to-end learning in task specific Image Sensors. 1 indexed citations
10.
Plachetka, Ulrich, Michael Moeller, Ivan Radev, et al.. (2023). Graphene Coating of Nafion Membranes for Enhanced Fuel Cell Performance. ACS Applied Engineering Materials. 1(3). 947–954. 13 indexed citations
11.
Lähner, Zorah, et al.. (2023). CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes. 1296–1305. 5 indexed citations
12.
Dröge, Hannah, et al.. (2021). Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. Journal of Imaging. 7(10). 213–213. 5 indexed citations
13.
Goldblum, Micah, Jonas Geiping, Avi Schwarzschild, Michael Moeller, & Tom Goldstein. (2020). Truth or backpropaganda? An empirical investigation of deep learning theory. International Conference on Learning Representations. 2 indexed citations
14.
Kolb, Andreas, et al.. (2019). Energy Dissipation with Plug-and-Play Priors. 3 indexed citations
15.
Moeller, Michael, et al.. (2018). Convolutional Simplex Projection Network for Weakly Supervised Semantic Segmentation.. British Machine Vision Conference. 263. 2 indexed citations
16.
Rodolà, Emanuele, Michael Moeller, & Daniel Cremers. (2017). Regularized Pointwise Map Recovery from Functional Correspondence. Computer Graphics Forum. 36(8). 700–711. 15 indexed citations
17.
Voß, Andreas, et al.. (2012). Linearly polarized, narrow-linewidth, and tunable Yb:YAG thin-disk laser. Optics Letters. 37(20). 4188–4188. 18 indexed citations
18.
Leistner, Stefanie, Heidrun Wabnitz, Michael Moeller, et al.. (2011). Non-invasive simultaneous recording of neuronal and vascular signals in subacute ischemic stroke. Biomedizinische Technik/Biomedical Engineering. 56(2). 85–90. 10 indexed citations
19.
Wabnitz, Heidrun, Michael Moeller, Adam Liebert, et al.. (2005). A Time-Domain NIR Brain Imager Applied in Functional Stimulation Experiments. WA5–WA5. 4 indexed citations
20.
Liebert, Adam, Heidrun Wabnitz, Jens Steinbrink, et al.. (2003). Intra- and extracerebral changes of hemoglobin concentrations by analysis of moments of distributions of times of flight of photons. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5138. 126–126. 3 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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