Philipp Daumke

24 papers and 138 indexed citations i.

About

Philipp Daumke is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Philipp Daumke has authored 24 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Artificial Intelligence and 4 papers in Health Information Management. Recurrent topics in Philipp Daumke’s work include Biomedical Text Mining and Ontologies (23 papers), Semantic Web and Ontologies (8 papers) and Natural Language Processing Techniques (6 papers). Philipp Daumke is often cited by papers focused on Biomedical Text Mining and Ontologies (23 papers), Semantic Web and Ontologies (8 papers) and Natural Language Processing Techniques (6 papers). Philipp Daumke collaborates with scholars based in Germany, Austria and United Kingdom. Philipp Daumke's co-authors include Stefan Schulz, Marcel L. Müller, Elmar Kotter, Mathias Langer, Udo Hahn, Catalina Martínez-Costa, Stefan Schulz, Martin Romacker, P. Fischer and Rüdiger Klar and has published in prestigious journals such as European Radiology, Language Resources and Evaluation and Methods of Information in Medicine.

In The Last Decade

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

Fields of papers citing papers by Philipp Daumke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Philipp Daumke

Since Specialization
Citations

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