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Researcher · RTX (United States) · United States

David G. Stallard

David G. Stallard publishes mostly in Artificial Intelligence, Language and Linguistics and Information Systems, on topics such as Natural Language Processing Techniques, Speech and dialogue systems and Topic Modeling.

OpenAlex
World rank
#1,659,621
of 7,710,434 ranked researchers
Rank in United States
#514,511
of 1,627,098
Works
63
Citations
1.3k
Citations per work
20.5
h-index
18
i10-index 27Top 16% in Artificial Intelligence
David G. Stallard

What does David G. Stallard research?

David G. Stallard's work is mostly in Computer Science (84%), Arts and Humanities (2%), Biochemistry, Genetics and Molecular Biology (1%).

Physical Sciences: 53 works · 84.1% of their workComputer Science: 53 works · 84.1% of their workArtificial Intelligence: 52 works · 82.3% of their workInformation Systems: 1 works · 1.8% of their workEverything else: 7 works · 10.5% of their workSocial Sciences: 3 works · 4.2% of their workArts and Humanities: 1 works · 1.8% of their workLanguage and Linguistics: 1 works · 1.8% of their workDecision Sciences: 1 works · 1.2% of their workManagement Science and Operations Research: 1 works · 1.2% of their workPsychology: 1 works · 1.2% of their workExperimental and Cognitive Psychology: 1 works · 1.2% of their workLife Sciences: 1 works · 1.2% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 1.2% of their workGenetics: 1 works · 1.2% of their workTHEIR WORKDavid G. Stallard63works
Life Sciences1%Physical Sciences84%Social Sciences4%

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 Science5384.1%
  2. Everything else710.5%
    1. Arts and Humanities11.8%
    2. Decision Sciences11.2%
    3. Psychology11.2%
    1. Biochemistry, Genetics and Molecular Biology11.2%
  1. 1Artificial Intelligence82% of their works
  2. 2Language and Linguistics2% of their works
  3. 3Information Systems2% of their works
  4. 4Experimental and Cognitive Psychology1% of their works
  5. 5Genetics1% of their works
  6. 6Management Science and Operations Research1% of their works

Research topics

Which keywords describe David G. Stallard's research?

The keywords of their largest research topics: Neural Machine Translation, Statistical Machine Translation, Markov Decision Processes, Spoken Dialogue Systems, Neural Networks, Word Representation, Acoustic Modeling and Deep Neural Networks.

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 18 words, with their numbers
  1. Neural Machine Translation471 topic
  2. Statistical Machine Translation471 topic
  3. Markov Decision Processes291 topic
  4. Spoken Dialogue Systems291 topic
  5. Neural Networks181 topic
  6. Word Representation181 topic
  7. Acoustic Modeling151 topic
  8. Deep Neural Networks151 topic
  9. Agent-Based Modeling101 topic
  10. Multi-Agent Systems101 topic
  11. Description Logics72 topics
  12. Knowledge Representation72 topics
  13. Ontology51 topic
  14. Semantic Web51 topic
  15. Active Learning31 topic
  16. Machine Learning31 topic
  17. Answer Set Programming21 topic
  18. Modal Logic21 topic

Where does David G. Stallard work?

David G. Stallard's main affiliation in the publication record is RTX (United States), United States.

How many publications and citations does David G. Stallard have?

OpenAlex counts 63 works and 1,294 citations for David G. Stallard, an h-index of 18, ranking #1,659,621 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.

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