Jack Sklansky
Jack Sklansky publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, on topics such as Medical Image Segmentation Techniques, AI in cancer detection and Advanced Image and Video Retrieval Techniques.
- World rank
- #26,640 of 1,633,909 ranked researchers
- Rank in United States
- #12,486 of 358,040
- Works
- 50
- Citations
- 439
- Citations per work
- 8.8
What does Jack Sklansky research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Computer Vision and Pattern Recognition33% of their works
- 2Artificial Intelligence16% of their works
- 3Control and Systems Engineering8% of their works
- 4Electrical and Electronic Engineering6% of their works
- 5Signal Processing4% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
Which keywords describe Jack Sklansky's research?
The keywords of their largest research topics: Deep Learning, Medical Image Analysis, Machine Learning, Graph Cuts, Image Segmentation, Computer-Aided Detection, Feature Matching and Histopathology Images.
- Shape Matching
- Neural Networks
- Labeling
- Depth Estimation
- Connected Components
- Histopathology Images
- Computer-Aided Detection
- Graph Cuts
- Medical Image Analysis
- Deep Learning
- Machine Learning
- Image Segmentation
- Feature Matching
- Local Descriptors
- Content-Based Image Retrieval
- Hough Transform
- Line Detection
- Self-Organizing Maps
- Stereo Vision
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
- Deep Learning124 topics
- Medical Image Analysis72 topics
- Machine Learning52 topics
- Graph Cuts41 topic
- Image Segmentation41 topic
- Computer-Aided Detection31 topic
- Feature Matching31 topic
- Histopathology Images31 topic
- Local Descriptors31 topic
- Connected Components21 topic
- Content-Based Image Retrieval21 topic
- Depth Estimation21 topic
- Hough Transform21 topic
- Labeling21 topic
- Line Detection21 topic
- Neural Networks21 topic
- Self-Organizing Maps21 topic
- Shape Matching21 topic
- Stereo Vision21 topic
Where does Jack Sklansky work?
Jack Sklansky's main affiliation in the publication record is University of California, Irvine, United States.
How many publications and citations does Jack Sklansky have?
Science Explorer counts 50 works and 439 citations for Jack Sklansky, ranking #26,640 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.