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Researcher · Amsterdam University College · Netherlands

Eric Akkerman

Eric Akkerman publishes mostly in Artificial Intelligence, Language and Linguistics and Literature and Literary Theory, on topics such as Natural Language Processing Techniques, Lexicography and Language Studies and Biomedical Text Mining and Ontologies.

OpenAlex
World rank
#4,750,413
of 7,710,434 ranked researchers
Rank in Netherlands
#86,091
of 107,149
Works
20
Citations
20
Citations per work
1.0
h-index
3
i10-index 0Top 95% in Artificial Intelligence
Eric Akkerman

What does Eric Akkerman research?

Eric Akkerman's work is mostly in Computer Science (38%), Arts and Humanities (19%), Biochemistry, Genetics and Molecular Biology (3%).

Everything else: 8 works · 40.6% of their workPhysical Sciences: 8 works · 37.5% of their workComputer Science: 8 works · 37.5% of their workArtificial Intelligence: 6 works · 31.3% of their workComputer Graphics and Computer-Aided Design: 1 works · 3.1% of their workInformation Systems: 1 works · 3.1% of their workSocial Sciences: 4 works · 18.8% of their workArts and Humanities: 4 works · 18.8% of their workLanguage and Linguistics: 2 works · 12.5% of their workLiterature and Literary Theory: 1 works · 6.3% of their workLife Sciences: 1 works · 3.1% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.1% of their workMolecular Biology: 1 works · 3.1% of their workTHEIR WORKEric Akkerman20works
Life Sciences3%Physical Sciences38%Social Sciences19%

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. Everything else840.6%
    1. Computer Science837.5%
    1. Arts and Humanities418.8%
    1. Biochemistry, Genetics and Molecular Biology13.1%
  1. 1Artificial Intelligence31% of their works
  2. 2Language and Linguistics12% of their works
  3. 3Literature and Literary Theory6% of their works
  4. 4Information Systems3% of their works
  5. 5Computer Graphics and Computer-Aided Design3% of their works
  6. 6Molecular Biology3% of their works

Research topics

Which keywords describe Eric Akkerman's research?

The keywords of their largest research topics: Neural Machine Translation, Statistical Machine Translation, Data Integration, Dictionaries, Lexicography, Semantic Web, Biomedical Ontologies and Computer Graphics.

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 18 words, with their numbers
  1. Neural Machine Translation81 topic
  2. Statistical Machine Translation81 topic
  3. Data Integration22 topics
  4. Dictionaries21 topic
  5. Lexicography21 topic
  6. Semantic Web22 topics
  7. Biomedical Ontologies11 topic
  8. Computer Graphics11 topic
  9. Linked Data11 topic
  10. Log Analysis11 topic
  11. Math Search11 topic
  12. Mathematical Information Retrieval11 topic
  13. Ontology11 topic
  14. Performance Prediction11 topic
  15. Readability Assessment11 topic
  16. Text Mining11 topic
  17. Text Simplification11 topic
  18. Visualization11 topic

Where does Eric Akkerman work?

Eric Akkerman's main affiliation in the publication record is Amsterdam University College, Netherlands.

How many publications and citations does Eric Akkerman have?

OpenAlex counts 20 works and 20 citations for Eric Akkerman, an h-index of 3, ranking #4,750,413 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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