Philipp Koehn

2 papers and 190 indexed citations i.

About

Philipp Koehn is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Philipp Koehn has authored 2 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Language and Linguistics. Recurrent topics in Philipp Koehn’s work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Biomedical Text Mining and Ontologies (1 paper). Philipp Koehn is often cited by papers focused on Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers) and Biomedical Text Mining and Ontologies (1 paper). Philipp Koehn collaborates with scholars based in United Kingdom, Japan and Czechia. Philipp Koehn's co-authors include Rachel Bawden, Makoto Morishita, Michal Novák, Barry Haddow, Mark Fishel, Christof Monz, Rebecca Knowles, Mariya Shmatova, Masaaki Nagata and Roman Grundkiewicz and has published in prestigious journals such as Data Archiving and Networked Services (DANS) and ˜The œPrague Bulletin of Mathematical Linguistics.

In The Last Decade

Co-authorship network of co-authors of Philipp Koehn i

Fields of papers citing papers by Philipp Koehn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp Koehn

Since Specialization
Citations

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