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Researcher · Thomson Reuters (United States) · United States

Jill M. Boyce

Jill M. Boyce publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, on topics such as Video Coding and Compression Technologies, Image and Video Quality Assessment and Advanced Vision and Imaging.

ORCID 0000-0001-8431-6739 OpenAlex
World rank
#547,721
of 7,710,434 ranked researchers
Rank in United States
#189,347
of 1,627,098
Works
64
Citations
2.5k
Citations per work
38.5
h-index
24
i10-index 30Top 8.9% in Computer Vision and Pattern Recognition
Jill M. Boyce

What does Jill M. Boyce research?

Jill M. Boyce's work is mostly in Computer Science (92%), Engineering (3%), Social Sciences (2%).

Physical Sciences: 61 works · 95.2% of their workComputer Science: 59 works · 92.0% of their workComputer Vision and Pattern Recognition: 35 works · 54.8% of their workSignal Processing: 18 works · 28.0% of their workComputer Networks and Communications: 3 works · 5.4% of their workComputer Graphics and Computer-Aided Design: 2 works · 3.8% of their workEngineering: 2 works · 3.2% of their workElectrical and Electronic Engineering: 2 works · 3.2% of their workEverything else: 2 works · 2.6% of their workSocial Sciences: 1 works · 2.2% of their workSocial Sciences: 1 works · 2.2% of their workSociology and Political Science: 1 works · 2.2% of their workTHEIR WORKJill M. Boyce64works
Physical Sciences95%Social Sciences2%

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 Science5992.0%
    2. Engineering23.2%
  2. Everything else22.6%
    1. Social Sciences12.2%
  1. 1Computer Vision and Pattern Recognition55% of their works
  2. 2Signal Processing28% of their works
  3. 3Computer Networks and Communications5% of their works
  4. 4Computer Graphics and Computer-Aided Design4% of their works
  5. 5Electrical and Electronic Engineering3% of their works
  6. 6Sociology and Political Science2% of their works

Research topics

Which keywords describe Jill M. Boyce's research?

The keywords of their largest research topics: Video Coding, Deep Learning, H.264/AVC, High Efficiency Video Coding (HEVC), Convolutional Networks, Image Quality Assessment, Perceptual Quality and Depth Estimation.

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 19 words, with their numbers
  1. Video Coding752 topics
  2. Deep Learning653 topics
  3. H.264/AVC521 topic
  4. High Efficiency Video Coding (HEVC)521 topic
  5. Convolutional Networks372 topics
  6. Image Quality Assessment311 topic
  7. Perceptual Quality311 topic
  8. Depth Estimation261 topic
  9. Stereo Vision261 topic
  10. JPEG2000231 topic
  11. Wavelet Compression231 topic
  12. Image111 topic
  13. Super-Resolution111 topic
  14. Computer Graphics71 topic
  15. Visualization71 topic
  16. Interactive Television41 topic
  17. Social TV41 topic
  18. Congestion Control31 topic
  19. TCP31 topic

Where does Jill M. Boyce work?

Jill M. Boyce's main affiliation in the publication record is Thomson Reuters (United States), United States.

How many publications and citations does Jill M. Boyce have?

OpenAlex counts 64 works and 2,467 citations for Jill M. Boyce, an h-index of 24, ranking #547,721 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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