Jan Lellmann
Impact in
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- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Computational Mechanics top 10%
- Sparse and Compressive Sensing Techniques
Papers in
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- Medical Image Segmentation Techniques 8
- Image and Signal Denoising Methods 3
- Optical measurement and interference techniques 2
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- Sparse and Compressive Sensing Techniques 8
- Co-authors
- Christoph Schnörr (9 shared papers)Carola‐Bibiane Schönlieb (5 shared papers)Florian Becker (3 shared papers)Tuomo Valkonen (1 shared paper)Dirk A. Lorenz (1 shared paper)Frank Lenzen (3 shared papers)Evgeny Strekalovskiy (1 shared paper)Daniel Cremers (1 shared paper)
- Journals
- SIAM Journal on Imaging Sciences (4 papers)International Journal of Computer Vision (3 papers)Journal of Mathematical Imaging and Vision (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)Quantum Information Processing (1 paper)
- Partner nations
- GermanyUnited KingdomSweden
In The Last Decade
Jan Lellmann
20 papers receiving 457 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 226
- Computational Mechanics 107
- Computational Mathematics 3
- Mathematical Physics 43
- Computer Graphics and Computer-Aided Design 16
Countries citing papers authored by Jan Lellmann
This map shows the geographic impact of Jan Lellmann'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 Jan Lellmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Lellmann more than expected).
Fields of papers citing papers by Jan Lellmann
This network shows the impact of papers produced by Jan Lellmann. 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 Jan Lellmann. The network helps show where Jan Lellmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Lellmann, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 79 | |
| 2 | 2011 | 67 | |
| 3 | 2018 | 55 | |
| 4 | 2014 | 54 | |
| 5 | 2016 | 53 | |
| 6 | 2009 | 32 | |
| 7 | 2013 | 29 | |
| 8 | 2012 | 26 | |
| 9 | 2008 | 21 | |
| 10 | 2020 | 20 | |
| 11 | 2013 | 10 | |
| 12 | 2012 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2014 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2011 | 1 |
About Jan Lellmann
Jan Lellmann is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 24 papers that have together received 477 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (8 papers), Sparse and Compressive Sensing Techniques (8 papers), Medical Imaging Techniques and Applications (3 papers), Stochastic Gradient Optimization Techniques (3 papers), Image and Signal Denoising Methods (3 papers), Optical measurement and interference techniques (2 papers), Numerical methods in inverse problems (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (226 citations), Computational Mechanics (107 citations), Computational Mathematics (3 citations), Mathematical Physics (43 citations) and Computer Graphics and Computer-Aided Design (16 citations). Jan Lellmann has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Christoph Schnörr, Carola‐Bibiane Schönlieb, Florian Becker, Tuomo Valkonen, Dirk A. Lorenz, Frank Lenzen, Evgeny Strekalovskiy, Daniel Cremers, Nathalie Butt and Michele Dalponte. Their work appears in journals such as SIAM Journal on Imaging Sciences, International Journal of Computer Vision, Journal of Mathematical Imaging and Vision, PROTEOMICS - CLINICAL APPLICATIONS and Quantum Information Processing.
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.