Julian Mattes

18 papers and 155 indexed citations i.

About

Julian Mattes is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Molecular Biology. According to data from OpenAlex, Julian Mattes has authored 18 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Biophysics and 4 papers in Molecular Biology. Recurrent topics in Julian Mattes’s work include Cell Image Analysis Techniques (7 papers), Medical Image Segmentation Techniques (5 papers) and Aortic Disease and Treatment Approaches (3 papers). Julian Mattes is often cited by papers focused on Cell Image Analysis Techniques (7 papers), Medical Image Segmentation Techniques (5 papers) and Aortic Disease and Treatment Approaches (3 papers). Julian Mattes collaborates with scholars based in Germany, Austria and France. Julian Mattes's co-authors include Roland Eils, Daniel W. Gerlich, Birgit Luber, Jacques Demongeot, Johanne Bézy‐Wendling, Pascal Haigron, Jean-Louis Coatrieux, Rudolf E. Leube, Thomas Kunzke and Nicolas Glade and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Methods.

In The Last Decade

Co-authorship network of co-authors of Julian Mattes i

Fields of papers citing papers by Julian Mattes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Julian Mattes

Since Specialization
Citations

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