Rajiv Khanna
Rajiv Khanna publishes mostly in Artificial Intelligence, Media Technology and Statistics and Probability, on topics such as Gaussian Processes and Bayesian Inference, Bayesian Methods and Mixture Models and Domain Adaptation and Few-Shot Learning.
- World rank
- #966,834 of 1,633,909 ranked researchers
- Rank in United States
- #258,402 of 358,040
- Works
- 17
- Citations
- 67
- Citations per work
- 3.9
What does Rajiv Khanna research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Artificial Intelligence42% of their works
- 2Media Technology10% of their works
- 3Statistics and Probability10% of their works
- 4Computational Theory and Mathematics5% of their works
- 5Information Systems5% of their works
- 6Signal Processing5% of their works
Research topics
Which keywords describe Rajiv Khanna's research?
The keywords of their largest research topics: Bayesian Inference, Deep Learning, Variational Inference, Gaussian Processes, Machine Learning, Probabilistic Models, Semi-Supervised Learning and Sparse Regression.
- Trajectory Data Mining
- Local Descriptors
- Information Retrieval
- GPS Trajectories
- Feature Matching
- Transfer Learning
- Domain Adaptation
- Sparse Regression
- Probabilistic Models
- Gaussian Processes
- Deep Learning
- Bayesian Inference
- Variational Inference
- Machine Learning
- Semi-Supervised Learning
- Clustering
- Mixture Models
- Active Learning
- Floating-Point Arithmetic
- Image Classification
- Interval Analysis
- Search Engines
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 22 words, with their numbers
- Bayesian Inference52 topics
- Deep Learning53 topics
- Variational Inference52 topics
- Gaussian Processes42 topics
- Machine Learning42 topics
- Probabilistic Models31 topic
- Semi-Supervised Learning32 topics
- Sparse Regression31 topic
- Clustering21 topic
- Domain Adaptation21 topic
- Mixture Models21 topic
- Transfer Learning21 topic
- Active Learning11 topic
- Feature Matching11 topic
- Floating-Point Arithmetic11 topic
- GPS Trajectories11 topic
- Image Classification11 topic
- Information Retrieval11 topic
- Interval Analysis11 topic
- Local Descriptors11 topic
- Search Engines11 topic
- Trajectory Data Mining11 topic
Where does Rajiv Khanna work?
Rajiv Khanna's main affiliation in the publication record is University of California, Berkeley, United States.
How many publications and citations does Rajiv Khanna have?
Science Explorer counts 17 works and 67 citations for Rajiv Khanna, ranking #966,834 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.
Other researchers named Rajiv Khanna
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