Andreas Langer

17 papers and 248 indexed citations i.

About

Andreas Langer is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Mathematical Physics. According to data from OpenAlex, Andreas Langer has authored 17 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Computational Mechanics and 8 papers in Mathematical Physics. Recurrent topics in Andreas Langer’s work include Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (10 papers) and Inverse Problems in Mathematical Physics and Imaging (6 papers). Andreas Langer is often cited by papers focused on Sparse and Compressive Sensing Techniques (10 papers), Image and Signal Denoising Methods (10 papers) and Inverse Problems in Mathematical Physics and Imaging (6 papers). Andreas Langer collaborates with scholars based in Germany, Austria and United Kingdom. Andreas Langer's co-authors include Michael Hintermüller, Thomas Zink, Carola‐Bibiane Schönlieb, Massimo Fornasier, Carlos N. Rautenberg, Tao Wu, Stanley Osher, Yunho Kim, Gregor Langer and Jaroslaw Jacak and has published in prestigious journals such as SIAM Journal on Numerical Analysis, Numerische Mathematik and Inverse Problems.

In The Last Decade

Co-authorship network of co-authors of Andreas Langer i

Fields of papers citing papers by Andreas Langer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Langer. 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 Andreas Langer. The network helps show where Andreas Langer may publish in the future.

Countries citing papers authored by Andreas Langer

Since Specialization
Citations

This map shows the geographic impact of Andreas Langer'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 Andreas Langer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Langer 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025