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Researcher · University of Sussex · United Kingdom

Lynne J. Cahill

Lynne J. Cahill publishes mostly in Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology, on topics such as Natural Language Processing Techniques, Speech and dialogue systems and Phonetics and Phonology Research.

ORCID 0000-0001-7306-1945 OpenAlex
World rank
#3,965,105
of 7,710,434 ranked researchers
Rank in United Kingdom
#254,083
of 367,258
Works
50
Citations
466
Citations per work
9.3
h-index
13
i10-index 17Top 28% in Artificial Intelligence
Lynne J. Cahill

What does Lynne J. Cahill research?

Lynne J. Cahill's work is mostly in Computer Science (52%), Arts and Humanities (11%), Psychology (8%).

Physical Sciences: 26 works · 52.3% of their workComputer Science: 26 works · 52.3% of their workArtificial Intelligence: 25 works · 50.0% of their workInformation Systems: 1 works · 2.3% of their workSocial Sciences: 12 works · 23.5% of their workArts and Humanities: 5 works · 10.6% of their workLanguage and Linguistics: 5 works · 10.6% of their workPsychology: 4 works · 7.6% of their workExperimental and Cognitive Psychology: 4 works · 7.6% of their workSocial Sciences: 3 works · 5.3% of their workLinguistics and Language: 3 works · 5.3% of their workEverything else: 11 works · 21.2% of their workHealth Sciences: 2 works · 3.0% of their workHealth Professions: 2 works · 3.0% of their workGeneral Health Professions: 2 works · 3.0% of their workTHEIR WORKLynne J. Cahill50works
Physical Sciences52%Health Sciences3%Social Sciences24%

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 Science2652.3%
    1. Arts and Humanities510.6%
    2. Psychology47.6%
    3. Social Sciences35.3%
  3. Everything else1121.2%
    1. Health Professions23.0%
  1. 1Artificial Intelligence50% of their works
  2. 2Language and Linguistics11% of their works
  3. 3Experimental and Cognitive Psychology8% of their works
  4. 4Linguistics and Language5% of their works
  5. 5General Health Professions3% of their works
  6. 6Information Systems2% of their works

Research topics

Which keywords describe Lynne J. Cahill's research?

The keywords of their largest research topics: Neural Machine Translation, Statistical Machine Translation, Speech Perception, Description Logics, Knowledge Representation, Markov Decision Processes, Spoken Dialogue Systems and Phonetics.

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 Machine Translation251 topic
  2. Statistical Machine Translation251 topic
  3. Speech Perception142 topics
  4. Description Logics102 topics
  5. Knowledge Representation102 topics
  6. Markov Decision Processes101 topic
  7. Spoken Dialogue Systems101 topic
  8. Phonetics81 topic
  9. Second Language Learning81 topic
  10. Language Change61 topic
  11. Sociolinguistic Variation61 topic
  12. Answer Set Programming51 topic
  13. Modal Logic51 topic
  14. Neural Networks51 topic
  15. Ontology51 topic
  16. Semantic Web51 topic
  17. Word Representation51 topic
  18. Semantics41 topic
  19. Syntax41 topic

Where does Lynne J. Cahill work?

Lynne J. Cahill's main affiliation in the publication record is University of Sussex, United Kingdom.

How many publications and citations does Lynne J. Cahill have?

OpenAlex counts 50 works and 466 citations for Lynne J. Cahill, an h-index of 13, ranking #3,965,105 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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