Thomas Kämpke

38 papers and 265 indexed citations i.

About

Thomas Kämpke is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Thomas Kämpke has authored 38 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Thomas Kämpke’s work include Scheduling and Optimization Algorithms (5 papers), Image and Signal Denoising Methods (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Thomas Kämpke is often cited by papers focused on Scheduling and Optimization Algorithms (5 papers), Image and Signal Denoising Methods (4 papers) and Bayesian Modeling and Causal Inference (4 papers). Thomas Kämpke collaborates with scholars based in Germany, Sweden and United States. Thomas Kämpke's co-authors include Michael Mecklenburg, Franz Josef Radermacher, Rudolf Kober, Peter Wolf, Jinchang Wang and Matthias Strobel and has published in prestigious journals such as Bioinformatics, Operations Research and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Thomas Kämpke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Kämpke

Since Specialization
Citations

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