Jan M. Köhler

About

Jan M. Köhler is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jan M. Köhler has authored 2 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jan M. Köhler’s work include Adversarial Robustness in Machine Learning (1 paper), Retinal Imaging and Analysis (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Jan M. Köhler is often cited by papers focused on Adversarial Robustness in Machine Learning (1 paper), Retinal Imaging and Analysis (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Jan M. Köhler collaborates with scholars based in Germany and India. Jan M. Köhler's co-authors include René Grzeszick, Gernot A. Fink, Michael Hirsch, Tobias Gindele, Leon Hetzel, Sven Behnke and Jörg Wagner and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2022 IEEE International Conference on Image Processing (ICIP).

In The Last Decade

Co-authorship network of co-authors of Jan M. Köhler i

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Fields of papers citing papers by Jan M. Köhler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan M. Köhler. 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 Jan M. Köhler. The network helps show where Jan M. Köhler may publish in the future.

Countries citing papers authored by Jan M. Köhler

Since Specialization

Citations

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