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Researcher · Barco (Belgium) · Belgium

Kathryn S. Espig

Kathryn S. Espig publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, on topics such as AI in cancer detection, Digital Radiography and Breast Imaging and Advanced Vision and Imaging.

OpenAlex
World rank
#6,144,538
of 7,710,434 ranked researchers
Rank in Belgium
#54,390
of 67,186
Works
21
Citations
125
Citations per work
6.0
h-index
6
i10-index 4Top 74% in Artificial Intelligence
Kathryn S. Espig

What does Kathryn S. Espig research?

Kathryn S. Espig's work is mostly in Computer Science (43%), Medicine (23%), Engineering (5%).

Physical Sciences: 10 works · 48.2% of their workComputer Science: 9 works · 42.8% of their workArtificial Intelligence: 5 works · 23.2% of their workComputer Vision and Pattern Recognition: 4 works · 19.6% of their workEngineering: 1 works · 5.4% of their workMedia Technology: 1 works · 5.4% of their workEverything else: 5 works · 25.0% of their workHealth Sciences: 5 works · 23.2% of their workMedicine: 5 works · 23.2% of their workPulmonary and Respiratory Medicine: 3 works · 14.3% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 8.9% of their workLife Sciences: 1 works · 3.6% of their workNeuroscience: 1 works · 3.6% of their workCognitive Neuroscience: 1 works · 3.6% of their workTHEIR WORKKathryn S. Espig21works
Life Sciences4%Physical Sciences48%Health Sciences23%

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 Science942.8%
    2. Engineering15.4%
  2. Everything else525.0%
    1. Medicine523.2%
    1. Neuroscience13.6%
  1. 1Artificial Intelligence23% of their works
  2. 2Computer Vision and Pattern Recognition20% of their works
  3. 3Pulmonary and Respiratory Medicine14% of their works
  4. 4Radiology, Nuclear Medicine and Imaging9% of their works
  5. 5Media Technology5% of their works
  6. 6Cognitive Neuroscience4% of their works

Research topics

Which keywords describe Kathryn S. Espig's research?

The keywords of their largest research topics: Deep Learning, Machine Learning, Histopathology Images, Medical Image Analysis, Digital Mammography, Mammographic Density, Convolutional Networks 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.

All 19 words, with their numbers
  1. Deep Learning194 topics
  2. Machine Learning142 topics
  3. Histopathology Images121 topic
  4. Medical Image Analysis121 topic
  5. Digital Mammography81 topic
  6. Mammographic Density81 topic
  7. Convolutional Networks52 topics
  8. Depth Estimation31 topic
  9. Image Quality Assessment31 topic
  10. Near-Infrared Spectroscopy31 topic
  11. Optical Imaging31 topic
  12. Perceptual Quality31 topic
  13. Stereo Vision31 topic
  14. Bioimage Analysis21 topic
  15. Computer Graphics21 topic
  16. High-Content Screening21 topic
  17. Image21 topic
  18. Super-Resolution21 topic
  19. Visualization21 topic

Where does Kathryn S. Espig work?

Kathryn S. Espig's main affiliation in the publication record is Barco (Belgium), Belgium.

How many publications and citations does Kathryn S. Espig have?

OpenAlex counts 21 works and 125 citations for Kathryn S. Espig, an h-index of 6, ranking #6,144,538 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.

Discussion

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