Joachim Niehren

26 papers and 326 indexed citations i.

About

Joachim Niehren is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Joachim Niehren has authored 26 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 7 papers in Molecular Biology. Recurrent topics in Joachim Niehren’s work include semigroups and automata theory (10 papers), Algorithms and Data Compression (7 papers) and Formal Methods in Verification (6 papers). Joachim Niehren is often cited by papers focused on semigroups and automata theory (10 papers), Algorithms and Data Compression (7 papers) and Formal Methods in Verification (6 papers). Joachim Niehren collaborates with scholars based in France, Germany and United States. Joachim Niehren's co-authors include Philippe Jacques, François Coutte, Cristian Versari, Aurélien Lemay, Ralf Treinen, Mathias John, Harald Gross, Angélique Léonard, Magali Deleu and Yoann Laurin and has published in prestigious journals such as Machine Learning, Journal of Machine Learning Research and Journal of Computer and System Sciences.

In The Last Decade

Co-authorship network of co-authors of Joachim Niehren i

Fields of papers citing papers by Joachim Niehren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joachim Niehren

Since Specialization
Citations

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