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Researcher · University of Southern California · United States

David C. Kale

David C. Kale publishes mostly in Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, on topics such as Machine Learning in Healthcare, Time Series Analysis and Forecasting and Topic Modeling.

OpenAlex
World rank
#1,301,731
of 7,710,434 ranked researchers
Rank in United States
#413,969
of 1,627,098
Works
29
Citations
2.8k
Citations per work
96.2
h-index
17
i10-index 19Top 18% in Artificial Intelligence
David C. Kale

What does David C. Kale research?

David C. Kale's work is mostly in Computer Science (56%), Health Professions (11%), Biochemistry, Genetics and Molecular Biology (4%).

Physical Sciences: 16 works · 55.7% of their workComputer Science: 16 works · 55.7% of their workArtificial Intelligence: 10 works · 34.2% of their workSignal Processing: 4 works · 13.9% of their workComputer Vision and Pattern Recognition: 2 works · 7.6% of their workEverything else: 8 works · 29.1% of their workHealth Sciences: 3 works · 11.4% of their workHealth Professions: 3 works · 11.4% of their workHealth Information Management: 2 works · 7.6% of their workGeneral Health Professions: 1 works · 3.8% of their workLife Sciences: 1 works · 3.8% of their workBiochemistry, Genetics and Molecular Biology: 1 works · 3.8% of their workMolecular Biology: 1 works · 3.8% of their workTHEIR WORKDavid C. Kale29works
Life Sciences4%Physical Sciences56%Health Sciences11%

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 Science1655.7%
  2. Everything else829.1%
    1. Health Professions311.4%
    1. Biochemistry, Genetics and Molecular Biology13.8%
  1. 1Artificial Intelligence34% of their works
  2. 2Signal Processing14% of their works
  3. 3Computer Vision and Pattern Recognition8% of their works
  4. 4Health Information Management8% of their works
  5. 5General Health Professions4% of their works
  6. 6Molecular Biology4% of their works

Research topics

Which keywords describe David C. Kale's research?

The keywords of their largest research topics: Deep Learning, Healthcare, Electronic Health Records, Predictive Modeling, Clustering, Time Series, Neural Networks and Machine Learning.

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 Learning243 topics
  2. Healthcare142 topics
  3. Electronic Health Records111 topic
  4. Predictive Modeling111 topic
  5. Clustering101 topic
  6. Time Series101 topic
  7. Neural Networks72 topics
  8. Machine Learning62 topics
  9. Machine Translation51 topic
  10. Word Representation51 topic
  11. Active Learning31 topic
  12. Big Data Analytics31 topic
  13. Biomedical Ontologies31 topic
  14. Medical Diagnosis31 topic
  15. Semi-Supervised Learning31 topic
  16. Text Mining31 topic
  17. Automatic21 topic
  18. Concept Drift21 topic
  19. Data Streams21 topic
  20. Extraction21 topic

Where does David C. Kale work?

David C. Kale's main affiliation in the publication record is University of Southern California, United States.

How many publications and citations does David C. Kale have?

OpenAlex counts 29 works and 2,790 citations for David C. Kale, an h-index of 17, ranking #1,301,731 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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