Klaus Voß

61 papers and 566 indexed citations i.

About

Klaus Voß is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Applied Mathematics. According to data from OpenAlex, Klaus Voß has authored 61 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Molecular Biology and 8 papers in Applied Mathematics. Recurrent topics in Klaus Voß’s work include Point processes and geometric inequalities (8 papers), Cell Image Analysis Techniques (6 papers) and AI in cancer detection (6 papers). Klaus Voß is often cited by papers focused on Point processes and geometric inequalities (8 papers), Cell Image Analysis Techniques (6 papers) and AI in cancer detection (6 papers). Klaus Voß collaborates with scholars based in Germany, United States and Switzerland. Klaus Voß's co-authors include Herbert Süße, Ina Koch, Monika Heiner, Hartmann J. Genrich, Robert Küffner, Peter Hufnagl, P. S. Thiagarajan, Eike Best, Reinhard Klette and Grzegorz Rozenberg and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Acta Neuropathologica and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Klaus Voß i

Fields of papers citing papers by Klaus Voß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Klaus Voß

Since Specialization
Citations

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