Shrijita Bhattacharya
Shrijita Bhattacharya publishes mostly in Artificial Intelligence, Statistics and Probability and Finance, on topics such as Gaussian Processes and Bayesian Inference, Statistical Methods and Inference and Anomaly Detection Techniques and Applications.
- World rank
- #6,566,962 of 7,710,434 ranked researchers
- Rank in United States
- #1,532,713 of 1,627,098
- Works
- 38
- Citations
- 127
- Citations per work
- 3.3
What does Shrijita Bhattacharya research?
Shrijita Bhattacharya's work is mostly in Computer Science (44%), Mathematics (22%), Economics, Econometrics and Finance (10%).
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 Sciences2565.9%
- Computer Science1743.6%
- Mathematics822.3%
- Everything else820.2%
- Social Sciences513.9%
- 1Artificial Intelligence40% of their works
- 2Statistics and Probability22% of their works
- 3Finance5% of their works
- 4Statistics, Probability and Uncertainty4% of their works
- 5Economics and Econometrics4% of their works
- 6Computer Vision and Pattern Recognition3% of their works
Research topics
- Gaussian Processes and Bayesian Inference
- Statistical Methods and Inference
- Anomaly Detection Techniques and Applications
- Bayesian Methods and Mixture Models
- Domain Adaptation and Few-Shot Learning
- Financial Risk and Volatility Modeling
- Markov Chains and Monte Carlo Methods
- Probabilistic and Robust Engineering Design
Which keywords describe Shrijita Bhattacharya's research?
The keywords of their largest research topics: Deep Learning, Bayesian Inference, Variational Inference, High-Dimensional Data, Gaussian Processes, Machine Learning, Model Selection and Regularization.
- Sensitivity Analysis
- Bayesian Monte Carlo
- Transfer Learning
- Domain Adaptation
- Clustering
- Anomaly Detection
- Regularization
- Machine Learning
- High-Dimensional Data
- Bayesian Inference
- Deep Learning
- Variational Inference
- Gaussian Processes
- Model Selection
- Variable Selection
- Unsupervised
- Mixture Models
- GARCH Models
- Volatility
- Markov Chain
- Uncertainty Quantification
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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 21 words, with their numbers
- Deep Learning212 topics
- Bayesian Inference202 topics
- Variational Inference202 topics
- High-Dimensional Data162 topics
- Gaussian Processes141 topic
- Machine Learning141 topic
- Model Selection132 topics
- Regularization91 topic
- Variable Selection91 topic
- Anomaly Detection71 topic
- Unsupervised71 topic
- Clustering61 topic
- Mixture Models61 topic
- Domain Adaptation51 topic
- GARCH Models51 topic
- Transfer Learning51 topic
- Volatility51 topic
- Bayesian Monte Carlo41 topic
- Markov Chain41 topic
- Sensitivity Analysis41 topic
- Uncertainty Quantification41 topic
Where does Shrijita Bhattacharya work?
Shrijita Bhattacharya's main affiliation in the publication record is Michigan State University, United States.
How many publications and citations does Shrijita Bhattacharya have?
OpenAlex counts 38 works and 127 citations for Shrijita Bhattacharya, an h-index of 7, ranking #6,566,962 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation 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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