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Researcher · Salesforce (United States) · United States

Philippe Laban

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

ORCID 0000-0001-9685-3961 OpenAlex
World rank
#447,102
of 7,710,434 ranked researchers
Rank in United States
#157,137
of 1,627,098
Works
74
Citations
888
Citations per work
12.0
h-index
16
i10-index 21Top 20% in Artificial Intelligence
Philippe Laban

What does Philippe Laban research?

Philippe Laban's work is mostly in Computer Science (70%), Social Sciences (6%), Medicine (3%).

Physical Sciences: 52 works · 70.5% of their workComputer Science: 52 works · 70.5% of their workArtificial Intelligence: 42 works · 57.3% of their workInformation Systems: 6 works · 8.3% of their workComputer Vision and Pattern Recognition: 4 works · 4.9% of their workEverything else: 15 works · 20.8% of their workSocial Sciences: 4 works · 5.8% of their workSocial Sciences: 4 works · 5.8% of their workCommunication: 2 works · 2.9% of their workEducation: 2 works · 2.9% of their workHealth Sciences: 2 works · 2.9% of their workMedicine: 2 works · 2.9% of their workHealth Informatics: 2 works · 2.9% of their workTHEIR WORKPhilippe Laban74works
Physical Sciences70%Health Sciences3%Social Sciences6%

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 Science5270.5%
  2. Everything else1520.8%
    1. Social Sciences45.8%
    1. Medicine22.9%
  1. 1Artificial Intelligence57% of their works
  2. 2Information Systems8% of their works
  3. 3Computer Vision and Pattern Recognition5% of their works
  4. 4Health Informatics3% of their works
  5. 5Communication3% of their works
  6. 6Education3% of their works

Research topics

Which keywords describe Philippe Laban's research?

The keywords of their largest research topics: Neural Networks, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Machine Learning, Artificial Intelligence and Readability Assessment.

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. Neural Networks633 topics
  2. Machine Translation441 topic
  3. Word Representation441 topic
  4. Neural Machine Translation341 topic
  5. Statistical Machine Translation341 topic
  6. Machine Learning243 topics
  7. Artificial Intelligence162 topics
  8. Readability Assessment131 topic
  9. Text Simplification131 topic
  10. Chatbots101 topic
  11. Service Robots101 topic
  12. Healthcare61 topic
  13. Image Captioning61 topic
  14. Medical Imaging61 topic
  15. Visual Question Answering61 topic
  16. Code Clone Detection51 topic
  17. Markov Decision Processes51 topic
  18. Refactoring51 topic
  19. Spoken Dialogue Systems51 topic

Where does Philippe Laban work?

Philippe Laban's main affiliation in the publication record is Salesforce (United States), United States.

How many publications and citations does Philippe Laban have?

OpenAlex counts 74 works and 888 citations for Philippe Laban, an h-index of 16, ranking #447,102 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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