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Researcher · Carnegie Mellon University · United States

Thomas Kemp

Thomas Kemp publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Speech Recognition and Synthesis, Natural Language Processing Techniques and Speech and dialogue systems.

ORCID 0000-0002-7570-5916 OpenAlex
World rank
#1,701,283
of 7,710,434 ranked researchers
Rank in United States
#526,039
of 1,627,098
Works
38
Citations
1.1k
Citations per work
29.3
h-index
16
i10-index 20Top 20% in Artificial Intelligence
Thomas Kemp

What does Thomas Kemp research?

Thomas Kemp's work is mostly in Computer Science (86%), Psychology (4%), Neuroscience (3%).

Physical Sciences: 33 works · 86.0% of their workComputer Science: 33 works · 86.0% of their workArtificial Intelligence: 19 works · 51.0% of their workSignal Processing: 7 works · 19.0% of their workComputer Vision and Pattern Recognition: 6 works · 16.0% of their workEverything else: 3 works · 7.0% of their workSocial Sciences: 2 works · 4.0% of their workPsychology: 2 works · 4.0% of their workExperimental and Cognitive Psychology: 2 works · 4.0% of their workLife Sciences: 1 works · 3.0% of their workNeuroscience: 1 works · 3.0% of their workNeurology: 1 works · 2.0% of their workCognitive Neuroscience: 0 works · 1.0% of their workTHEIR WORKThomas Kemp38works
Life Sciences3%Physical Sciences86%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 Science3386.0%
  2. Everything else37.0%
    1. Psychology24.0%
    1. Neuroscience13.0%
  1. 1Artificial Intelligence51% of their works
  2. 2Signal Processing19% of their works
  3. 3Computer Vision and Pattern Recognition16% of their works
  4. 4Experimental and Cognitive Psychology4% of their works
  5. 5Neurology2% of their works
  6. 6Cognitive Neuroscience1% of their works

Research topics

Which keywords describe Thomas Kemp's research?

The keywords of their largest research topics: Convolutional Neural Networks, Deep Learning, Acoustic Modeling, Deep Neural Networks, Neural Machine Translation, Statistical Machine Translation, Neural Networks and Markov Decision Processes.

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. Convolutional Neural Networks323 topics
  2. Deep Learning213 topics
  3. Acoustic Modeling191 topic
  4. Deep Neural Networks191 topic
  5. Neural Machine Translation131 topic
  6. Statistical Machine Translation131 topic
  7. Neural Networks112 topics
  8. Markov Decision Processes101 topic
  9. Spoken Dialogue Systems101 topic
  10. Audio Signal Classification91 topic
  11. Music Information Retrieval91 topic
  12. Audio-Visual Speech Recognition81 topic
  13. Speech Enhancement81 topic
  14. Content-Based Retrieval41 topic
  15. Image Recognition41 topic
  16. Object Detection41 topic
  17. Video Summarization41 topic
  18. Machine Translation31 topic
  19. Word Representation31 topic

Where does Thomas Kemp work?

Thomas Kemp's main affiliation in the publication record is Carnegie Mellon University, United States.

How many publications and citations does Thomas Kemp have?

OpenAlex counts 38 works and 1,112 citations for Thomas Kemp, an h-index of 16, ranking #1,701,283 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.

Other researchers named Thomas Kemp

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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