The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Peter Haase sits on this spectrum.
This scientist: 164 publications — 32nd percentile
32% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Peter Haase sits on this spectrum.
This scientist: 47 D-Index — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Peter Haase is affiliated with Metaphacts in Germany and conducts research primarily in the fields of Computer Science, Biochemistry, Genetics and Molecular Biology, and Decision Sciences. Their work spans multiple subfields, including Artificial Intelligence, Molecular Biology, and Management Science and Operations Research.
The scientist's research focuses on topics related to the Semantic Web and Ontologies, Biomedical Text Mining and Ontologies, Data Quality and Management, Topic Modeling, and Cognitive Computing and Networks. These thematic areas reflect a broad engagement with both computational and biological data analysis and management.
Peter Haase has contributed to scholarly literature through journal and conference publications. Notable recent work includes the paper titled "SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples," published in 2023 in arXiv (Cornell University).
The scholar has collaborated frequently with several researchers, including:
Publication venues for Peter Haase are relatively focused, with contributions appearing primarily in arXiv (Cornell University).
In addition to journal articles, Peter Haase has authored work in the book domain, with a publication titled "The Semantic Web" released in 2020 by Springer Science+Business Media.
This profile reflects a multidisciplinary approach integrating semantic technologies with applications in biomedicine and decision science, supported by collaborative research and scholarly publishing.
B. Motik;P.F. Patel-Schneider;B. Parsia;C. Bock
Peter Haase;Frank van Harmelen;Zhisheng Huang;Heiner Stuckenschmidt
Andreas Schwarte;Peter Haase;Katja Hose;Ralf Schenkel
Peter Haase;Ljiljana Stojanovic
Peter Haase;Jeen Broekstra;Andreas Eberhart;Raphael Volz
Peter Haase;Jeen Broekstra;Marc Ehrig;Maarten Menken
Marc Ehrig;Peter Haase;Mark Hefke;Nenad Stojanovic
York Sure;Stephan Bloehdorn;Peter Haase;Jens Hartmann
Paul Buitelaar;Philipp Cimiano;Peter Haase;Michael Sintek
Peter Haase;Björn Schnizler;Jeen Broekstra;Marc Ehrig
Michael Schmidt;Olaf Görlitz;Peter Haase;Günter Ladwig
Peter Haase;Johanna Völker
Peter Haase;Ronny Siebes;Frank van Harmelen
Philipp Cimiano;Peter Haase;Jörg Heizmann;Matthias Mantel
Martin Giese;Ahmet Soylu;Guillermo Vega-Gorgojo;Arild Waaler
Philipp Cimiano;Peter Haase;Jörg Heizmann
Boontawee Suntisrivaraporn;Guilin Qi;Qiu Ji;Peter Haase
Peter Haase;Boris Motik
Andreas Schwarte;Peter Haase;Katja Hose;Ralf Schenkel
Peter Haase;Holger Lewen;Rudi Studer;Duc Thanh Tran
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