Stefan Harmeling
Impact in
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- Advanced Image Processing Techniques
- Multimodal Machine Learning Applications
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Media Technology top 0.2%
- Image Processing Techniques and Applications
- Advanced Image Fusion Techniques
Papers in
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- Neural Networks and Applications 6
- Bayesian Modeling and Causal Inference 5
- Domain Adaptation and Few-Shot Learning 4
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- Advanced Image Processing Techniques 14
- Image and Signal Denoising Methods 10
- Co-authors
- Hannes Nickisch (3 shared papers)Christoph H. Lampert (3 shared papers)Christian J. Schuler (5 shared papers)Bernhard Schölkopf (16 shared papers)H. Burger (1 shared paper)Michael Hirsch (11 shared papers)Miguel D. Mahecha (4 shared papers)Jakob Zscheischler (4 shared papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Signal Processing (2 papers)Medical Physics (1 paper)Journal of Vision (1 paper)Vision Research (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Stefan Harmeling
57 papers receiving 6.3k citations
Stefan Harmeling's Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 4.2k
- Media Technology 1.4k
- Artificial Intelligence 2.6k
- Signal Processing 271
- Radiology, Nuclear Medicine and Imaging 475
Countries citing papers authored by Stefan Harmeling
This map shows the geographic impact of Stefan Harmeling'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 Stefan Harmeling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Harmeling more than expected).
Fields of papers citing papers by Stefan Harmeling
This network shows the impact of papers produced by Stefan Harmeling. 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 Stefan Harmeling. The network helps show where Stefan Harmeling may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Harmeling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning to detect unseen object classes by between-class attribute transfer Hit paper breakdown → | 2009 | 1161 |
| 2 | Attribute-Based Classification for Zero-Shot Visual Object Categorization Hit paper breakdown → | 2013 | 1076 |
| 3 | Learning to detect unseen object classes by between-class attribute transfer Hit paper breakdown → | 2009 | 939 |
| 4 | Image denoising: Can plain neural networks compete with BM3D? Hit paper breakdown → | 2012 | 825 |
| 5 | Learning to Deblur Hit paper breakdown → | 2015 | 382 |
| 6 | Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data Hit paper breakdown → | 2016 | 257 |
| 7 | 2014 | 220 | |
| 8 | 2013 | 217 | |
| 9 | 2011 | 216 | |
| 10 | 2010 | 149 | |
| 11 | 2013 | 103 | |
| 12 | 2014 | 84 | |
| 13 | Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake | 2010 | 82 |
| 14 | 2003 | 81 | |
| 15 | 2012 | 68 | |
| 16 | 2005 | 64 | |
| 17 | 2011 | 64 | |
| 18 | Probabilistic inference for solving (PO) MDPs | 2006 | 47 |
| 19 | 2022 | 42 | |
| 20 | 2010 | 32 |
About Stefan Harmeling
Stefan Harmeling is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Media Technology and Atomic and Molecular Physics, and Optics, having authored 60 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (14 papers), Blind Source Separation Techniques (10 papers), Image and Signal Denoising Methods (10 papers), Image Processing Techniques and Applications (8 papers), Neural Networks and Applications (6 papers), Bayesian Modeling and Causal Inference (5 papers), Spectroscopy and Chemometric Analyses (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.2k citations), Media Technology (1.4k citations), Artificial Intelligence (2.6k citations), Signal Processing (271 citations) and Radiology, Nuclear Medicine and Imaging (475 citations). Stefan Harmeling has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Hannes Nickisch, Christoph H. Lampert, Christian J. Schuler, Bernhard Schölkopf, H. Burger, Michael Hirsch, Miguel D. Mahecha, Jakob Zscheischler, Felix A. Wichmann and Heiko H. Schütt. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Signal Processing, Medical Physics, Journal of Vision and Vision Research.
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.