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Researcher · University of California San Diego · United States

Pamela C. Cosman

Pamela C. Cosman publishes mostly in Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing, on topics such as Advanced Data Compression Techniques, Video Coding and Compression Technologies and Image and Video Quality Assessment.

ORCID 0000-0002-4012-0176 OpenAlex
World rank
#1,089,420
of 7,710,434 ranked researchers
Rank in United States
#352,769
of 1,627,098
Works
362
Citations
9.6k
Citations per work
26.5
h-index
43
i10-index 155Top 1.9% in Computer Vision and Pattern Recognition
Pamela C. Cosman

What does Pamela C. Cosman research?

Pamela C. Cosman's work is mostly in Computer Science (61%), Engineering (14%), Biochemistry, Genetics and Molecular Biology (2%).

Physical Sciences: 274 works · 75.6% of their workComputer Science: 221 works · 61.1% of their workComputer Vision and Pattern Recognition: 131 works · 36.1% of their workSignal Processing: 40 works · 11.0% of their workComputer Networks and Communications: 36 works · 9.9% of their workArtificial Intelligence: 15 works · 4.1% of their workEngineering: 52 works · 14.5% of their workElectrical and Electronic Engineering: 52 works · 14.5% of their workEverything else: 82 works · 22.7% of their workLife Sciences: 6 works · 1.7% of their workBiochemistry, Genetics and Molecular Biology: 6 works · 1.7% of their workAging: 6 works · 1.7% of their workTHEIR WORKPamela C. Cosman362works
Life Sciences2%Physical Sciences76%

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 Science22161.1%
    2. Engineering5214.5%
  2. Everything else8222.7%
    1. Biochemistry, Genetics and Molecular Biology61.7%
  1. 1Computer Vision and Pattern Recognition36% of their works
  2. 2Electrical and Electronic Engineering14% of their works
  3. 3Signal Processing11% of their works
  4. 4Computer Networks and Communications10% of their works
  5. 5Artificial Intelligence4% of their works
  6. 6Aging2% of their works

Research topics

Which keywords describe Pamela C. Cosman's research?

The keywords of their largest research topics: Deep Learning, Video Coding, Hyperspectral Imaging, JPEG2000, Wavelet Compression, H.264/AVC, High Efficiency Video Coding (HEVC) and Space-Time Coding.

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. Deep Learning2353 topics
  2. Video Coding2262 topics
  3. Hyperspectral Imaging1672 topics
  4. JPEG20001261 topic
  5. Wavelet Compression1261 topic
  6. H.264/AVC1001 topic
  7. High Efficiency Video Coding (HEVC)1001 topic
  8. Space-Time Coding742 topics
  9. Image Quality Assessment681 topic
  10. Perceptual Quality681 topic
  11. Channel Estimation421 topic
  12. MIMO-OFDM421 topic
  13. Image Denoising411 topic
  14. Sparse Representations411 topic
  15. Resource Allocation341 topic
  16. Wireless Communication341 topic
  17. Cooperative Diversity321 topic
  18. Wireless Networks321 topic
  19. Depth Estimation311 topic
  20. Stereo Vision311 topic

Where does Pamela C. Cosman work?

Pamela C. Cosman's main affiliation in the publication record is University of California San Diego, United States.

How many publications and citations does Pamela C. Cosman have?

OpenAlex counts 362 works and 9,591 citations for Pamela C. Cosman, an h-index of 43, ranking #1,089,420 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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