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Researcher · University of Mannheim · Germany

Christian Bizer

Christian Bizer publishes mostly in Artificial Intelligence, Information Systems and Management Science and Operations Research, on topics such as Semantic Web and Ontologies, Data Quality and Management and Web Data Mining and Analysis.

ORCID 0000-0003-2367-0237 OpenAlex
World rank
#36,248
of 7,710,434 ranked researchers
Rank in Germany
#2,118
of 364,343
Works
236
Citations
30k
Citations per work
128.2
h-index
61
i10-index 112Top 0.5% in Artificial Intelligence
Christian Bizer

What does Christian Bizer research?

Christian Bizer's work is mostly in Computer Science (71%), Decision Sciences (12%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 167 works · 70.7% of their workComputer Science: 167 works · 70.7% of their workArtificial Intelligence: 95 works · 40.4% of their workInformation Systems: 52 works · 22.1% of their workComputer Networks and Communications: 15 works · 6.2% of their workSignal Processing: 5 works · 2.0% of their workEverything else: 31 works · 13.0% of their workSocial Sciences: 29 works · 12.1% of their workDecision Sciences: 29 works · 12.1% of their workManagement Science and Operations Research: 29 works · 12.1% of their workLife Sciences: 10 works · 4.2% of their workBiochemistry, Genetics and Molecular Biology: 10 works · 4.2% of their workMolecular Biology: 10 works · 4.2% of their workTHEIR WORKChristian Bizer236works
Life Sciences4%Physical Sciences71%Social Sciences12%

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 Science16770.7%
  2. Everything else3113.0%
    1. Decision Sciences2912.1%
    1. Biochemistry, Genetics and Molecular Biology104.2%
  1. 1Artificial Intelligence40% of their works
  2. 2Information Systems22% of their works
  3. 3Management Science and Operations Research12% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Molecular Biology4% of their works
  6. 6Signal Processing2% of their works

Research topics

Which keywords describe Christian Bizer's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Linked Data, Ontology, Information Retrieval, Data Cleaning, Record Linkage and Web Crawling.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Data Integration2253 topics
  2. Semantic Web1542 topics
  3. Linked Data1311 topic
  4. Ontology1311 topic
  5. Information Retrieval902 topics
  6. Data Cleaning711 topic
  7. Record Linkage711 topic
  8. Web Crawling531 topic
  9. Web Data Extraction531 topic
  10. Neural Machine Translation431 topic
  11. Statistical Machine Translation431 topic
  12. Continuous Queries371 topic
  13. Data Stream Management371 topic
  14. Neural Networks371 topic
  15. Word Representation371 topic
  16. QoS-Aware Middleware291 topic
  17. Semantic Web Services291 topic
  18. Biomedical Ontologies231 topic
  19. Text Mining231 topic

Where does Christian Bizer work?

Christian Bizer's main affiliation in the publication record is University of Mannheim, Germany.

How many publications and citations does Christian Bizer have?

OpenAlex counts 236 works and 30,250 citations for Christian Bizer, an h-index of 61, ranking #36,248 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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.

Discussion

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