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Researcher · Educational Testing Service · United States

Michael Flor

Michael Flor publishes mostly in Artificial Intelligence, Developmental and Educational Psychology and Information Systems, on topics such as Natural Language Processing Techniques, Topic Modeling and Text Readability and Simplification.

ORCID 0000-0002-3320-5729 OpenAlex
World rank
#570,954
of 7,710,434 ranked researchers
Rank in United States
#196,778
of 1,627,098
Works
87
Citations
1.1k
Citations per work
13.0
h-index
23
i10-index 35Top 9.4% in Artificial Intelligence
Michael Flor

What does Michael Flor research?

Michael Flor's work is mostly in Computer Science (63%), Psychology (16%), Social Sciences (3%).

Physical Sciences: 55 works · 63.3% of their workComputer Science: 55 works · 63.3% of their workArtificial Intelligence: 51 works · 58.6% of their workInformation Systems: 4 works · 4.7% of their workSocial Sciences: 19 works · 21.4% of their workPsychology: 14 works · 15.8% of their workDevelopmental and Educational Psychology: 11 works · 12.1% of their workExperimental and Cognitive Psychology: 3 works · 3.7% of their workSocial Sciences: 3 works · 3.3% of their workEducation: 3 works · 3.3% of their workArts and Humanities: 2 works · 2.3% of their workLanguage and Linguistics: 2 works · 2.3% of their workEverything else: 13 works · 15.3% of their workTHEIR WORKMichael Flor87works
Physical Sciences63%Social Sciences21%

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 Science5563.3%
    1. Psychology1415.8%
    2. Social Sciences33.3%
    3. Arts and Humanities22.3%
  3. Everything else1315.3%
  1. 1Artificial Intelligence59% of their works
  2. 2Developmental and Educational Psychology12% of their works
  3. 3Information Systems5% of their works
  4. 4Experimental and Cognitive Psychology4% of their works
  5. 5Education3% of their works
  6. 6Language and Linguistics2% of their works

Research topics

Which keywords describe Michael Flor's research?

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

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 19 words, with their numbers
  1. Neural Networks653 topics
  2. Corpus Linguistics472 topics
  3. Neural Machine Translation361 topic
  4. Statistical Machine Translation361 topic
  5. Machine Translation331 topic
  6. Word Representation331 topic
  7. Readability Assessment221 topic
  8. Text Simplification221 topic
  9. Reading Comprehension192 topics
  10. Second Language Learning111 topic
  11. Vocabulary Acquisition111 topic
  12. Automatic101 topic
  13. Extraction101 topic
  14. Dyslexia81 topic
  15. Metaphor81 topic
  16. Reading Acquisition81 topic
  17. Time81 topic
  18. Affective States71 topic
  19. Intelligent Tutoring Systems71 topic

Where does Michael Flor work?

Michael Flor's main affiliation in the publication record is Educational Testing Service, United States.

How many publications and citations does Michael Flor have?

OpenAlex counts 87 works and 1,128 citations for Michael Flor, an h-index of 23, ranking #570,954 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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