Jan Lellmann

25 papers and 460 indexed citations i.

About

Jan Lellmann is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jan Lellmann has authored 25 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jan Lellmann’s work include Sparse and Compressive Sensing Techniques (8 papers), Medical Image Segmentation Techniques (7 papers) and Image and Signal Denoising Methods (5 papers). Jan Lellmann is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Medical Image Segmentation Techniques (7 papers) and Image and Signal Denoising Methods (5 papers). Jan Lellmann collaborates with scholars based in Germany, United Kingdom and Australia. Jan Lellmann's co-authors include Christoph Schnörr, Carola‐Bibiane Schönlieb, Daniel Cremers, Evgeny Strekalovskiy, Tuomo Valkonen, Dirk A. Lorenz, Frank Lenzen, Bernhard X. Kausler, Sungwoong Kim and Bogdan Savchynskyy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Human Brain Mapping and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Jan Lellmann i

Fields of papers citing papers by Jan Lellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Jan Lellmann

Since Specialization
Citations

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).

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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2025