Jan Lellmann
Impact in
-
- Medical Image Segmentation Techniques
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
- Numerical Analysis top 10%
- Advanced Optimization Algorithms Research
Papers in
-
- Medical Image Segmentation Techniques 23
- Image and Signal Denoising Methods 22
- Advanced Neural Network Applications 6
- Advanced Vision and Imaging 3
-
- Optimization and Variational Analysis 7
- Co-authors
- Christoph Schnörr (14 shared papers)Florian Becker (6 shared papers)Jörg Hendrik Kappes (3 shared papers)Carola‐Bibiane Schönlieb (9 shared papers)Jing Yun Yuan (1 shared paper)Daniel Cremers (4 shared papers)Nikos Komodakis A (2 shared papers)Bjoern Andres (2 shared papers)
- Journals
- SIAM Journal on Imaging Sciences (7 papers)International Journal of Computer Vision (3 papers)Journal of Mathematical Imaging and Vision (3 papers)Lecture notes in computer science (11 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Jan Lellmann
45 papers receiving 1k citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 670
- Numerical Analysis 44
- Computational Theory and Mathematics 152
- Artificial Intelligence 180
- Applied Mathematics 71
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 147 | |
| 2 | 2015 | 123 | |
| 3 | 2009 | 116 | |
| 4 | 2011 | 95 | |
| 5 | 2014 | 71 | |
| 6 | 2018 | 58 | |
| 7 | 2016 | 56 | |
| 8 | 2013 | 53 | |
| 9 | 2009 | 46 | |
| 10 | 2012 | 32 | |
| 11 | 2016 | 26 | |
| 12 | 2008 | 24 | |
| 13 | 2020 | 24 | |
| 14 | 2010 | 20 | |
| 15 | 2018 | 17 | |
| 16 | 2013 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2013 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2013 | 11 |
About Jan Lellmann
Jan Lellmann is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Applied Mathematics, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Image and Signal Denoising Methods (22 papers), Optimization and Variational Analysis (7 papers), Advanced Neural Network Applications (6 papers), Advanced Vision and Imaging (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (670 citations), Numerical Analysis (44 citations), Computational Theory and Mathematics (152 citations), Artificial Intelligence (180 citations) and Applied Mathematics (71 citations). Jan Lellmann has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Christoph Schnörr, Florian Becker, Jörg Hendrik Kappes, Carola‐Bibiane Schönlieb, Jing Yun Yuan, Daniel Cremers, Nikos Komodakis A, Bjoern Andres, Carsten Rother and Sebastian Nowozin. Their work appears in journals such as SIAM Journal on Imaging Sciences, International Journal of Computer Vision, Journal of Mathematical Imaging and Vision, Lecture notes in computer science and Proceedings of the National Academy of Sciences.
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.