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Researcher · UNSW Sydney · Australia

Michael R. Frater

Michael R. Frater publishes mostly in Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, on topics such as Video Coding and Compression Technologies, Advanced Data Compression Techniques and Advanced Vision and Imaging.

OpenAlex
World rank
#4,591,216
of 7,710,434 ranked researchers
Rank in Australia
#110,272
of 140,210
Works
192
Citations
2.1k
Citations per work
11.1
h-index
23
i10-index 55Top 9.7% in Computer Vision and Pattern Recognition
Michael R. Frater

What does Michael R. Frater research?

Michael R. Frater's work is mostly in Computer Science (55%), Engineering (19%).

Physical Sciences: 142 works · 73.8% of their workComputer Science: 106 works · 55.0% of their workComputer Vision and Pattern Recognition: 67 works · 34.8% of their workSignal Processing: 22 works · 11.4% of their workComputer Networks and Communications: 17 works · 8.8% of their workEngineering: 36 works · 18.8% of their workElectrical and Electronic Engineering: 16 works · 8.4% of their workOcean Engineering: 13 works · 6.6% of their workMedia Technology: 7 works · 3.8% of their workEverything else: 50 works · 26.2% of their workTHEIR WORKMichael R. Frater192works
Physical Sciences74%

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 Science10655.0%
    2. Engineering3618.8%
  2. Everything else5026.2%
  1. 1Computer Vision and Pattern Recognition35% of their works
  2. 2Signal Processing11% of their works
  3. 3Computer Networks and Communications9% of their works
  4. 4Electrical and Electronic Engineering8% of their works
  5. 5Ocean Engineering7% of their works
  6. 6Media Technology4% of their works

Research topics

Which keywords describe Michael R. Frater's research?

The keywords of their largest research topics: Video Coding, Deep Learning, Convolutional Networks, Wireless Sensor Networks, H.264/AVC, High Efficiency Video Coding (HEVC), JPEG2000 and Wavelet Compression.

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 20 words, with their numbers
  1. Video Coding992 topics
  2. Deep Learning893 topics
  3. Convolutional Networks612 topics
  4. Wireless Sensor Networks522 topics
  5. H.264/AVC501 topic
  6. High Efficiency Video Coding (HEVC)501 topic
  7. JPEG2000491 topic
  8. Wavelet Compression491 topic
  9. Depth Estimation441 topic
  10. Stereo Vision441 topic
  11. Acoustic Communications361 topic
  12. Underwater Acoustic Sensor Networks361 topic
  13. Image Quality Assessment231 topic
  14. Perceptual Quality231 topic
  15. Acoustic Techniques171 topic
  16. Image171 topic
  17. Seafloor Mapping171 topic
  18. Super-Resolution171 topic
  19. Indoor Localization161 topic
  20. RF-Based Positioning161 topic

Where does Michael R. Frater work?

Michael R. Frater's main affiliation in the publication record is UNSW Sydney, Australia.

How many publications and citations does Michael R. Frater have?

OpenAlex counts 192 works and 2,125 citations for Michael R. Frater, an h-index of 23, ranking #4,591,216 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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