Gregor Koehler

2 papers and 11 indexed citations i.

About

Gregor Koehler is a scholar working on Artificial Intelligence, Molecular Biology and Industrial relations. According to data from OpenAlex, Gregor Koehler has authored 2 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 0 papers in Industrial relations. Recurrent topics in Gregor Koehler’s work include Machine Learning in Healthcare (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Topic Modeling (1 paper). Gregor Koehler is often cited by papers focused on Machine Learning in Healthcare (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Topic Modeling (1 paper). Gregor Koehler collaborates with scholars based in Germany and United States. Gregor Koehler's co-authors include Jens Kleesiek, Klaus Maier‐Hein, Peter M. Full, Fabian Isensee, David Zimmerer, Paul F. Jaeger and Simon Köhl and has published in prestigious journals such as JMIR Medical Informatics and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Co-authorship network of co-authors of Gregor Koehler i

Fields of papers citing papers by Gregor Koehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gregor Koehler

Since Specialization
Citations

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