Inderjit S. Dhillon
Inderjit S. Dhillon publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics, on topics such as Sparse and Compressive Sensing Techniques, Face and Expression Recognition and Stochastic Gradient Optimization Techniques.
- World rank
- #17,792 of 7,710,434 ranked researchers
- Rank in United States
- #6,388 of 1,627,098
- Works
- 373
- Citations
- 30k
- Citations per work
- 80.4
What does Inderjit S. Dhillon research?
Inderjit S. Dhillon's work is mostly in Computer Science (57%), Engineering (7%), Physics and Astronomy (5%).
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
- Physical Sciences25769.0%
- Computer Science21256.8%
- Engineering267.0%
- Physics and Astronomy195.2%
- Everything else11631.0%
- 1Artificial Intelligence37% of their works
- 2Computer Vision and Pattern Recognition11% of their works
- 3Computational Mechanics7% of their works
- 4Statistical and Nonlinear Physics5% of their works
- 5Signal Processing5% of their works
- 6Computational Theory and Mathematics4% of their works
Research topics
- Sparse and Compressive Sensing Techniques
- Face and Expression Recognition
- Stochastic Gradient Optimization Techniques
- Complex Network Analysis Techniques
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Advanced Clustering Algorithms Research
Which keywords describe Inderjit S. Dhillon's research?
The keywords of their largest research topics: Sparse Representation, Convex Optimization, Feature Selection, Compressed Sensing, Signal Recovery, Meta-Learning, Dimensionality Reduction and Face Recognition.
- Transfer Learning
- K-means
- Domain Adaptation
- Text Classification
- Network Dynamics
- Stochastic Gradient Descent
- Face Recognition
- Meta-Learning
- Compressed Sensing
- Convex Optimization
- Sparse Representation
- Feature Selection
- Signal Recovery
- Dimensionality Reduction
- Random Projections
- Community Structure
- Multi-label Learning
- Clustering Algorithms
- Hyperparameter Optimization
- Noisy Labels
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
- Sparse Representation1192 topics
- Convex Optimization1102 topics
- Feature Selection782 topics
- Compressed Sensing731 topic
- Signal Recovery731 topic
- Meta-Learning582 topics
- Dimensionality Reduction461 topic
- Face Recognition461 topic
- Random Projections371 topic
- Stochastic Gradient Descent371 topic
- Community Structure361 topic
- Network Dynamics361 topic
- Multi-label Learning321 topic
- Text Classification321 topic
- Clustering Algorithms291 topic
- Domain Adaptation291 topic
- Hyperparameter Optimization291 topic
- K-means291 topic
- Noisy Labels291 topic
- Transfer Learning291 topic
Where does Inderjit S. Dhillon work?
Inderjit S. Dhillon's main affiliation in the publication record is The University of Texas at Austin, United States.
How many publications and citations does Inderjit S. Dhillon have?
OpenAlex counts 373 works and 29,973 citations for Inderjit S. Dhillon, an h-index of 83, ranking #17,792 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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