Soeren Kammel

12 papers and 839 indexed citations i.

About

Soeren Kammel is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Aerospace Engineering. According to data from OpenAlex, Soeren Kammel has authored 12 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Mechanical Engineering and 4 papers in Aerospace Engineering. Recurrent topics in Soeren Kammel’s work include Optical measurement and interference techniques (7 papers), Industrial Vision Systems and Defect Detection (4 papers) and Robotics and Sensor-Based Localization (4 papers). Soeren Kammel is often cited by papers focused on Optical measurement and interference techniques (7 papers), Industrial Vision Systems and Defect Detection (4 papers) and Robotics and Sensor-Based Localization (4 papers). Soeren Kammel collaborates with scholars based in Germany, United States and Canada. Soeren Kammel's co-authors include David Held, Michael Sokolsky, Moritz Werling, Jan Becker, David Stavens, Sebastian Thrun, Oliver Pink, Jesse Levinson, J. Zico Kolter and Vaughan Pratt and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Measurement and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Soeren Kammel i

Fields of papers citing papers by Soeren Kammel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Soeren Kammel

Since Specialization
Citations

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