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Researcher · Johns Hopkins University · United States

Philipp Koehn

Philipp Koehn publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, on topics such as Natural Language Processing Techniques, Topic Modeling and Text Readability and Simplification.

OpenAlex
World rank
#46,899
of 7,710,434 ranked researchers
Rank in United States
#18,078
of 1,627,098
Works
419
Citations
33k
Citations per work
78.4
h-index
66
i10-index 195Top 0.3% in Artificial Intelligence
Philipp Koehn

What does Philipp Koehn research?

Philipp Koehn's work is mostly in Computer Science (89%), Arts and Humanities (1%), Biochemistry, Genetics and Molecular Biology (1%).

Physical Sciences: 374 works · 89.3% of their workComputer Science: 374 works · 89.3% of their workArtificial Intelligence: 344 works · 82.2% of their workComputer Vision and Pattern Recognition: 21 works · 5.0% of their workInformation Systems: 9 works · 2.1% of their workEverything else: 31 works · 7.4% of their workSocial Sciences: 9 works · 2.1% of their workArts and Humanities: 5 works · 1.3% of their workLanguage and Linguistics: 5 works · 1.3% of their workDecision Sciences: 3 works · 0.8% of their workManagement Science and Operations Research: 3 works · 0.8% of their workLife Sciences: 5 works · 1.2% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 1.2% of their workMolecular Biology: 5 works · 1.2% of their workTHEIR WORKPhilipp Koehn419works
Life Sciences1%Physical Sciences89%Social Sciences2%

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 Science37489.3%
  2. Everything else317.4%
    1. Arts and Humanities51.3%
    2. Decision Sciences30.8%
    1. Biochemistry, Genetics and Molecular Biology51.2%
  1. 1Artificial Intelligence82% of their works
  2. 2Computer Vision and Pattern Recognition5% of their works
  3. 3Information Systems2% of their works
  4. 4Language and Linguistics1% of their works
  5. 5Molecular Biology1% of their works
  6. 6Management Science and Operations Research1% of their works

Research topics

Which keywords describe Philipp Koehn's research?

The keywords of their largest research topics: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Machine Translation, Word Representation, Readability Assessment, Text Simplification and Image Captioning.

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 17 words, with their numbers
  1. Neural Networks3923 topics
  2. Neural Machine Translation3541 topic
  3. Statistical Machine Translation3541 topic
  4. Machine Translation2851 topic
  5. Word Representation2851 topic
  6. Readability Assessment611 topic
  7. Text Simplification611 topic
  8. Image Captioning461 topic
  9. Visual Question Answering461 topic
  10. Ontology401 topic
  11. Semantic Web401 topic
  12. Markov Decision Processes371 topic
  13. Spoken Dialogue Systems371 topic
  14. Compression191 topic
  15. Suffix Arrays191 topic
  16. Acoustic Modeling161 topic
  17. Deep Neural Networks161 topic

Where does Philipp Koehn work?

Philipp Koehn's main affiliation in the publication record is Johns Hopkins University, United States.

How many publications and citations does Philipp Koehn have?

OpenAlex counts 419 works and 32,863 citations for Philipp Koehn, an h-index of 66, ranking #46,899 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.

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