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Researcher · Ollscoil na Gaillimhe – University of Galway · Ireland

Stefan Decker

Stefan Decker publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Semantic Web and Ontologies, Service-Oriented Architecture and Web Services and Advanced Database Systems and Queries.

ORCID 0000-0001-6324-7164 OpenAlex
World rank
#134,576
of 7,710,434 ranked researchers
Rank in Ireland
#325
of 21,376
Works
555
Citations
18k
Citations per work
31.6
h-index
63
i10-index 230Top 0.4% in Artificial Intelligence
Stefan Decker

What does Stefan Decker research?

Stefan Decker's work is mostly in Computer Science (53%), Engineering (6%), Biochemistry, Genetics and Molecular Biology (6%).

Physical Sciences: 328 works · 59.1% of their workComputer Science: 293 works · 52.8% of their workArtificial Intelligence: 150 works · 27.1% of their workInformation Systems: 89 works · 16.1% of their workComputer Networks and Communications: 53 works · 9.6% of their workEngineering: 35 works · 6.3% of their workElectrical and Electronic Engineering: 35 works · 6.3% of their workEverything else: 173 works · 31.1% of their workLife Sciences: 31 works · 5.6% of their workBiochemistry, Genetics and Molecular Biology: 31 works · 5.6% of their workMolecular Biology: 31 works · 5.6% of their workSocial Sciences: 23 works · 4.2% of their workDecision Sciences: 23 works · 4.2% of their workInformation Systems and Management: 23 works · 4.2% of their workTHEIR WORKStefan Decker555works
Life Sciences6%Physical Sciences59%Social Sciences4%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science29352.8%
    2. Engineering356.3%
  2. Everything else17331.1%
    1. Biochemistry, Genetics and Molecular Biology315.6%
    1. Decision Sciences234.2%
  1. 1Artificial Intelligence27% of their works
  2. 2Information Systems16% of their works
  3. 3Computer Networks and Communications10% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Molecular Biology6% of their works
  6. 6Information Systems and Management4% of their works

Research topics

Which keywords describe Stefan Decker's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Linked Data, Ontology, Semantic Web Services, QoS-Aware Middleware, Service-Oriented Computing and Continuous Queries.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Data Integration3703 topics
  2. Semantic Web3212 topics
  3. Linked Data2641 topic
  4. Ontology2641 topic
  5. Semantic Web Services1522 topics
  6. QoS-Aware Middleware1091 topic
  7. Service-Oriented Computing1091 topic
  8. Continuous Queries971 topic
  9. Data Stream Management971 topic
  10. Biomedical Ontologies571 topic
  11. Text Mining571 topic
  12. Data Cleaning491 topic
  13. Record Linkage491 topic
  14. Web Crawling441 topic
  15. Web Data Extraction441 topic
  16. Reproducibility431 topic
  17. Scientific Workflows431 topic
  18. Neural Machine Translation281 topic
  19. Statistical Machine Translation281 topic

Where does Stefan Decker work?

Stefan Decker's main affiliation in the publication record is Ollscoil na Gaillimhe – University of Galway, Ireland.

How many publications and citations does Stefan Decker have?

OpenAlex counts 555 works and 17,523 citations for Stefan Decker, an h-index of 63, ranking #134,576 of 7,710,434 researchers worldwide on the quality 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 have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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