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Researcher · New York Times · United States

Thomas M. Paikeday

Thomas M. Paikeday publishes mostly in Language and Linguistics, Artificial Intelligence and Linguistics and Language, on topics such as Lexicography and Language Studies, Historical Linguistics and Language Studies and Natural Language Processing Techniques.

OpenAlex
World rank
#4,754,886
of 7,710,434 ranked researchers
Rank in United States
#1,249,110
of 1,627,098
Works
23
Citations
184
Citations per work
8.0
h-index
5
i10-index 3Top 47% in Language and Linguistics
Thomas M. Paikeday

What does Thomas M. Paikeday research?

Thomas M. Paikeday's work is mostly in Arts and Humanities (50%), Computer Science (10%), Social Sciences (8%).

Social Sciences: 13 works · 57.9% of their workArts and Humanities: 12 works · 50.0% of their workLanguage and Linguistics: 12 works · 50.0% of their workSocial Sciences: 2 works · 7.9% of their workLinguistics and Language: 1 works · 5.3% of their workCommunication: 1 works · 2.6% of their workEverything else: 6 works · 26.3% of their workPhysical Sciences: 2 works · 10.5% of their workComputer Science: 2 works · 10.5% of their workArtificial Intelligence: 2 works · 7.9% of their workInformation Systems: 1 works · 2.6% of their workHealth Sciences: 1 works · 5.3% of their workHealth Professions: 1 works · 5.3% of their workGeneral Health Professions: 1 works · 5.3% of their workTHEIR WORKThomas M.Paikeday23works
Physical Sciences10%Health Sciences5%Social Sciences58%

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. Arts and Humanities1250.0%
    2. Social Sciences27.9%
  2. Everything else626.3%
    1. Computer Science210.5%
    1. Health Professions15.3%
  1. 1Language and Linguistics50% of their works
  2. 2Artificial Intelligence8% of their works
  3. 3Linguistics and Language5% of their works
  4. 4General Health Professions5% of their works
  5. 5Communication3% of their works
  6. 6Information Systems3% of their works

Research topics

Which keywords describe Thomas M. Paikeday's research?

The keywords of their largest research topics: Dictionaries, Lexicography, Language Teaching, Linguistic Historiography, Text Classification, Authorship Attribution, Feature Selection and Healthcare.

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. Dictionaries161 topic
  2. Lexicography161 topic
  3. Language Teaching21 topic
  4. Linguistic Historiography21 topic
  5. Text Classification22 topics
  6. Authorship Attribution11 topic
  7. Feature Selection11 topic
  8. Healthcare11 topic
  9. Healthcare Legislation11 topic
  10. IoT11 topic
  11. Math Search11 topic
  12. Mathematical Information Retrieval11 topic
  13. Multi-label Learning11 topic
  14. Neural Machine Translation11 topic
  15. Patient Rights11 topic
  16. Statistical Machine Translation11 topic
  17. Stylometry11 topic

Where does Thomas M. Paikeday work?

Thomas M. Paikeday's main affiliation in the publication record is New York Times, United States.

How many publications and citations does Thomas M. Paikeday have?

OpenAlex counts 23 works and 184 citations for Thomas M. Paikeday, an h-index of 5, ranking #4,754,886 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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