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Researcher · Erasmus MC · Netherlands

Erik M. van Mulligen

Erik M. van Mulligen publishes mostly in Molecular Biology, Artificial Intelligence and Health Information Management, on topics such as Biomedical Text Mining and Ontologies, Semantic Web and Ontologies and Electronic Health Records Systems.

ORCID 0000-0003-1377-9386 OpenAlex
World rank
#623,098
of 7,710,434 ranked researchers
Rank in Netherlands
#15,101
of 107,149
Works
175
Citations
23k
Citations per work
129.5
h-index
35
i10-index 77Top 10% in Molecular Biology
Erik M. van Mulligen

What does Erik M. van Mulligen research?

Erik M. van Mulligen's work is mostly in Computer Science (31%), Biochemistry, Genetics and Molecular Biology (28%), Health Professions (6%).

Physical Sciences: 55 works · 31.2% of their workComputer Science: 55 works · 31.2% of their workArtificial Intelligence: 41 works · 23.6% of their workInformation Systems: 7 works · 4.1% of their workComputational Theory and Mathematics: 6 works · 3.5% of their workEverything else: 54 works · 30.9% of their workLife Sciences: 48 works · 27.7% of their workBiochemistry, Genetics and Molecular Biology: 48 works · 27.7% of their workMolecular Biology: 48 works · 27.7% of their workHealth Sciences: 11 works · 6.3% of their workHealth Professions: 11 works · 6.3% of their workHealth Information Management: 11 works · 6.3% of their workSocial Sciences: 7 works · 3.9% of their workDecision Sciences: 7 works · 3.9% of their workInformation Systems and Management: 7 works · 3.9% of their workTHEIR WORKErik M. vanMulligen175works
Life Sciences28%Physical Sciences31%Health Sciences6%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 Science5531.2%
  2. Everything else5430.9%
    1. Biochemistry, Genetics and Molecular Biology4827.7%
    1. Health Professions116.3%
    1. Decision Sciences73.9%
  1. 1Molecular Biology28% of their works
  2. 2Artificial Intelligence24% of their works
  3. 3Health Information Management6% of their works
  4. 4Information Systems4% of their works
  5. 5Information Systems and Management4% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe Erik M. van Mulligen's research?

The keywords of their largest research topics: Data Integration, Semantic Web, Biomedical Ontologies, Text Mining, Linked Data, Ontology, Clinical Decision Support Systems and Electronic Health Records.

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 18 words, with their numbers
  1. Data Integration1252 topics
  2. Semantic Web1252 topics
  3. Biomedical Ontologies881 topic
  4. Text Mining881 topic
  5. Linked Data371 topic
  6. Ontology371 topic
  7. Clinical Decision Support Systems261 topic
  8. Electronic Health Records261 topic
  9. Neural Networks251 topic
  10. Word Representation251 topic
  11. Neural Machine Translation181 topic
  12. Statistical Machine Translation181 topic
  13. Reproducibility171 topic
  14. Scientific Workflows171 topic
  15. Gene Set Enrichment Analysis161 topic
  16. Protein-Protein Interaction Networks161 topic
  17. Molecular Docking151 topic
  18. Virtual Screening151 topic

Where does Erik M. van Mulligen work?

Erik M. van Mulligen's main affiliation in the publication record is Erasmus MC, Netherlands.

How many publications and citations does Erik M. van Mulligen have?

OpenAlex counts 175 works and 22,668 citations for Erik M. van Mulligen, an h-index of 35, ranking #623,098 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.

Discussion

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