Leo Obrst
Leo Obrst publishes mostly in Artificial Intelligence, Molecular Biology and Information Systems, on topics such as Semantic Web and Ontologies, Biomedical Text Mining and Ontologies and Service-Oriented Architecture and Web Services.
- World rank
- #443,175 of 1,633,909 ranked researchers
- Rank in United States
- #152,464 of 358,040
- Works
- 17
- Citations
- 67
- Citations per work
- 3.9
What does Leo Obrst research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence41% of their works
- 2Molecular Biology24% of their works
- 3Information Systems24% of their works
- 4Management Information Systems6% of their works
- 5Management Science and Operations Research6% of their works
Research topics
Which keywords describe Leo Obrst's research?
The keywords of their largest research topics: Data Integration, Semantic Web, Linked Data, Ontology, Biomedical Ontologies, QoS-Aware Middleware, Semantic Web Services and Text Mining.
- Data Cleaning
- Analytics
- Text Mining
- QoS-Aware Middleware
- Ontology
- Semantic Web
- Data Integration
- Linked Data
- Biomedical Ontologies
- Semantic Web Services
- Big Data
- Business Intelligence
- Record Linkage
Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.
All 13 words, with their numbers
- Data Integration123 topics
- Semantic Web112 topics
- Linked Data71 topic
- Ontology71 topic
- Biomedical Ontologies41 topic
- QoS-Aware Middleware41 topic
- Semantic Web Services41 topic
- Text Mining41 topic
- Big Data22 topics
- Analytics11 topic
- Business Intelligence11 topic
- Data Cleaning11 topic
- Record Linkage11 topic
Where does Leo Obrst work?
Leo Obrst's main affiliation in the publication record is Mitre (United States), United States.
How many publications and citations does Leo Obrst have?
Science Explorer counts 17 works and 67 citations for Leo Obrst, ranking #443,175 of 1,633,909 researchers worldwide on the composite score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics are in the interactive view on the map. Is this your page? Request a correction or removal.