Thomas Schoenemann

13 papers and 180 indexed citations i.

About

Thomas Schoenemann is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Thomas Schoenemann has authored 13 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Aerospace Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Thomas Schoenemann’s work include Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Thomas Schoenemann is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Vision and Imaging (4 papers). Thomas Schoenemann collaborates with scholars based in Germany, Sweden and France. Thomas Schoenemann's co-authors include Daniel Cremers, Fredrik Kahl and Simon Masnou and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Thomas Schoenemann i

Fields of papers citing papers by Thomas Schoenemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Schoenemann

Since Specialization
Citations

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