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Researcher · Advanced Imaging Research (United States) · United States

Kenneth R. Castleman

Kenneth R. Castleman publishes mostly in Computer Vision and Pattern Recognition, Molecular Biology and Biophysics, on topics such as Gene expression and cancer classification, Cell Image Analysis Techniques and Genomic variations and chromosomal abnormalities.

OpenAlex
World rank
#4,380,008
of 7,710,434 ranked researchers
Rank in United States
#1,172,330
of 1,627,098
Works
121
Citations
1.5k
Citations per work
12.5
h-index
23
i10-index 49Top 9.7% in Computer Vision and Pattern Recognition
Kenneth R. Castleman

What does Kenneth R. Castleman research?

Kenneth R. Castleman's work is mostly in Biochemistry, Genetics and Molecular Biology (33%), Computer Science (30%), Engineering (8%).

Physical Sciences: 46 works · 37.9% of their workComputer Science: 36 works · 29.8% of their workComputer Vision and Pattern Recognition: 30 works · 24.4% of their workArtificial Intelligence: 7 works · 5.4% of their workEngineering: 10 works · 8.1% of their workMedia Technology: 10 works · 8.1% of their workLife Sciences: 40 works · 32.9% of their workBiochemistry, Genetics and Molecular Biology: 40 works · 32.9% of their workMolecular Biology: 21 works · 17.3% of their workBiophysics: 11 works · 9.2% of their workGenetics: 8 works · 6.4% of their workEverything else: 35 works · 29.2% of their workTHEIR WORKKenneth R.Castleman121works
Life Sciences33%Physical Sciences38%

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 Science3629.8%
    2. Engineering108.1%
    1. Biochemistry, Genetics and Molecular Biology4032.9%
  3. Everything else3529.2%
  1. 1Computer Vision and Pattern Recognition24% of their works
  2. 2Molecular Biology17% of their works
  3. 3Biophysics9% of their works
  4. 4Media Technology8% of their works
  5. 5Genetics6% of their works
  6. 6Artificial Intelligence5% of their works

Research topics

Which keywords describe Kenneth R. Castleman's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Image Processing, Microscopy, Gene Expression, Microarray, Bioimage Analysis and High-Content Screening.

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 20 words, with their numbers
  1. Deep Learning403 topics
  2. Machine Learning392 topics
  3. Image Processing282 topics
  4. Microscopy282 topics
  5. Gene Expression221 topic
  6. Microarray221 topic
  7. Bioimage Analysis171 topic
  8. High-Content Screening171 topic
  9. Copy Number Variation161 topic
  10. Genomic Rearrangements161 topic
  11. Image Denoising131 topic
  12. Sparse Representations131 topic
  13. Autofocusing111 topic
  14. Depth Estimation111 topic
  15. Image Segmentation101 topic
  16. Medical Image Analysis101 topic
  17. Fluorescent Proteins91 topic
  18. Genome Evolution91 topic
  19. Polyploidy91 topic
  20. Super-Resolution Imaging91 topic

Where does Kenneth R. Castleman work?

Kenneth R. Castleman's main affiliation in the publication record is Advanced Imaging Research (United States), United States.

How many publications and citations does Kenneth R. Castleman have?

OpenAlex counts 121 works and 1,517 citations for Kenneth R. Castleman, an h-index of 23, ranking #4,380,008 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.

Discussion

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