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Researcher · German Research Centre for Artificial Intelligence · Germany

Ludger van Elst

Ludger van Elst publishes mostly in Artificial Intelligence, Information Systems and Computer Networks and Communications, on topics such as Semantic Web and Ontologies, Multi-Agent Systems and Negotiation and Service-Oriented Architecture and Web Services.

ORCID 0000-0001-5965-4250 OpenAlex
World rank
#1,196,986
of 7,710,434 ranked researchers
Rank in Germany
#58,940
of 364,343
Works
79
Citations
1.4k
Citations per work
17.8
h-index
20
i10-index 32Top 13% in Artificial Intelligence
Ludger van Elst

What does Ludger van Elst research?

Ludger van Elst's work is mostly in Computer Science (64%), Business, Management and Accounting (6%), Decision Sciences (4%).

Physical Sciences: 51 works · 64.3% of their workComputer Science: 51 works · 64.3% of their workArtificial Intelligence: 29 works · 36.3% of their workInformation Systems: 11 works · 14.0% of their workComputer Networks and Communications: 7 works · 8.4% of their workComputer Vision and Pattern Recognition: 4 works · 5.6% of their workEverything else: 21 works · 26.0% of their workSocial Sciences: 8 works · 9.7% of their workBusiness, Management and Accounting: 5 works · 6.0% of their workManagement Information Systems: 5 works · 6.0% of their workDecision Sciences: 3 works · 3.7% of their workInformation Systems and Management: 3 works · 3.7% of their workTHEIR WORKLudger van Elst79works
Physical Sciences64%Social Sciences10%

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 Science5164.3%
  2. Everything else2126.0%
    1. Business, Management and Accounting56.0%
    2. Decision Sciences33.7%
  1. 1Artificial Intelligence36% of their works
  2. 2Information Systems14% of their works
  3. 3Computer Networks and Communications8% of their works
  4. 4Management Information Systems6% of their works
  5. 5Computer Vision and Pattern Recognition6% of their works
  6. 6Information Systems and Management4% of their works

Research topics

Which keywords describe Ludger van Elst's research?

The keywords of their largest research topics: Ontology, Semantic Web, Agent-Based Modeling, Multi-Agent Systems, Business Process Management, QoS-Aware Middleware, Semantic Web Services and Workflow Mining.

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 16 words, with their numbers
  1. Ontology301 topic
  2. Semantic Web301 topic
  3. Agent-Based Modeling161 topic
  4. Multi-Agent Systems161 topic
  5. Business Process Management131 topic
  6. QoS-Aware Middleware131 topic
  7. Semantic Web Services131 topic
  8. Workflow Mining131 topic
  9. Continuous Queries81 topic
  10. Data Stream Management81 topic
  11. Neural Networks71 topic
  12. Word Representation71 topic
  13. Convolutional Neural Networks61 topic
  14. Deep Learning61 topic
  15. Neural Machine Translation61 topic
  16. Statistical Machine Translation61 topic

Where does Ludger van Elst work?

Ludger van Elst's main affiliation in the publication record is German Research Centre for Artificial Intelligence, Germany.

How many publications and citations does Ludger van Elst have?

OpenAlex counts 79 works and 1,407 citations for Ludger van Elst, an h-index of 20, ranking #1,196,986 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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