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Researcher · Software Competence Center Hagenberg (Austria) · Austria

Lisa Ehrlinger

Lisa Ehrlinger publishes mostly in Artificial Intelligence, Management Science and Operations Research and Information Systems, on topics such as Data Quality and Management, Semantic Web and Ontologies and Data Mining Algorithms and Applications.

ORCID 0000-0001-5313-0368 OpenAlex
World rank
#1,978,541
of 7,710,434 ranked researchers
Rank in Austria
#11,880
of 43,330
Works
54
Citations
936
Citations per work
17.3
h-index
10
i10-index 11Top 42% in Artificial Intelligence
Lisa Ehrlinger

What does Lisa Ehrlinger research?

Lisa Ehrlinger's work is mostly in Computer Science (51%), Decision Sciences (29%), Business, Management and Accounting (5%).

Physical Sciences: 28 works · 51.3% of their workComputer Science: 28 works · 51.3% of their workArtificial Intelligence: 14 works · 25.0% of their workInformation Systems: 11 works · 20.4% of their workComputer Networks and Communications: 3 works · 5.9% of their workSocial Sciences: 18 works · 34.2% of their workDecision Sciences: 16 works · 28.9% of their workManagement Science and Operations Research: 13 works · 24.3% of their workInformation Systems and Management: 2 works · 4.6% of their workBusiness, Management and Accounting: 3 works · 5.3% of their workManagement Information Systems: 3 works · 5.3% of their workEverything else: 8 works · 14.5% of their workTHEIR WORKLisa Ehrlinger54works
Physical Sciences51%Social Sciences34%

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 Science2851.3%
    1. Decision Sciences1628.9%
    2. Business, Management and Accounting35.3%
  3. Everything else814.5%
  1. 1Artificial Intelligence25% of their works
  2. 2Management Science and Operations Research24% of their works
  3. 3Information Systems20% of their works
  4. 4Computer Networks and Communications6% of their works
  5. 5Management Information Systems5% of their works
  6. 6Information Systems and Management5% of their works

Research topics

Which keywords describe Lisa Ehrlinger's research?

The keywords of their largest research topics: Data Integration, Big Data, Data Cleaning, Record Linkage, Ontology, Semantic Web, Data Mining and Association Rules.

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 Integration562 topics
  2. Big Data473 topics
  3. Data Cleaning371 topic
  4. Record Linkage371 topic
  5. Ontology191 topic
  6. Semantic Web191 topic
  7. Data Mining172 topics
  8. Association Rules121 topic
  9. Frequent Patterns121 topic
  10. Continuous Queries71 topic
  11. Data Stream Management71 topic
  12. Analytics51 topic
  13. Business Intelligence51 topic
  14. Information Visualization51 topic
  15. Visual Analytics51 topic
  16. Data Sharing41 topic
  17. Graph Neural Networks41 topic
  18. Knowledge Graph Embedding41 topic
  19. Scientific Data Management41 topic

Where does Lisa Ehrlinger work?

Lisa Ehrlinger's main affiliation in the publication record is Software Competence Center Hagenberg (Austria), Austria.

How many publications and citations does Lisa Ehrlinger have?

OpenAlex counts 54 works and 936 citations for Lisa Ehrlinger, an h-index of 10, ranking #1,978,541 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.

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