Christoph Schnörr

108 papers and 3.1k indexed citations i.

About

Christoph Schnörr is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christoph Schnörr has authored 108 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Computer Vision and Pattern Recognition, 25 papers in Computational Mechanics and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christoph Schnörr’s work include Medical Image Segmentation Techniques (36 papers), Advanced Vision and Imaging (21 papers) and Sparse and Compressive Sensing Techniques (20 papers). Christoph Schnörr is often cited by papers focused on Medical Image Segmentation Techniques (36 papers), Advanced Vision and Imaging (21 papers) and Sparse and Compressive Sensing Techniques (20 papers). Christoph Schnörr collaborates with scholars based in Germany, United Kingdom and France. Christoph Schnörr's co-authors include Joachim Weickert, Andrés Bruhn, Daniel Cremers, Timo Kohlberger, Étienne Mémin, Gabriele Steidl, Jörg Hendrik Kappes, Julia Neumann, Paul Ruhnau and Jan Lellmann and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Christoph Schnörr i

Fields of papers citing papers by Christoph Schnörr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Christoph Schnörr

Since Specialization
Citations

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