Thomas Bühler

About

Thomas Bühler is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Bühler has authored 3 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Signal Processing, 1 paper in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Bühler’s work include Blind Source Separation Techniques (1 paper), Facility Location and Emergency Management (1 paper) and Face and Expression Recognition (1 paper). Thomas Bühler is often cited by papers focused on Blind Source Separation Techniques (1 paper), Facility Location and Emergency Management (1 paper) and Face and Expression Recognition (1 paper). Thomas Bühler collaborates with scholars based in Germany. Thomas Bühler's co-authors include Matthias Hein, Syama Sundar Rangapuram and Markus Kächele and has published in prestigious journals such as arXiv (Cornell University) and International Conference on Machine Learning.

In The Last Decade

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

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Fields of papers citing papers by Thomas Bühler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Bühler

Since Specialization

Citations

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