Sayan Mukherjee
Sayan Mukherjee publishes mostly in Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics, on topics such as Gene expression and cancer classification, Bioinformatics and Genomic Networks and Topological and Geometric Data Analysis.
- World rank
- #10,005 of 1,633,909 ranked researchers
- Rank in United States
- #4,819 of 358,040
- Works
- 47
- Citations
- 5.7k
- Citations per work
- 122.3
What does Sayan Mukherjee research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Molecular Biology28% of their works
- 2Artificial Intelligence17% of their works
- 3Computational Theory and Mathematics10% of their works
- 4Computer Vision and Pattern Recognition9% of their works
- 5Statistics and Probability9% of their works
- 6Mathematical Physics7% of their works
Research topics
Which keywords describe Sayan Mukherjee's research?
The keywords of their largest research topics: Machine Learning, Data Analysis, Clustering, Feature Selection, Bayesian Inference, Gene Expression, Microarray and Variational Inference.
- m6A-seq
- Sparse Regression
- Markov Chain
- Face Recognition
- Dimensionality Reduction
- Topological Methods
- Protein-Protein Interaction Networks
- Variational Inference
- Gene Expression
- Feature Selection
- Data Analysis
- Machine Learning
- Clustering
- Bayesian Inference
- Microarray
- Gene Set Enrichment Analysis
- Persistent Homology
- Bayesian Monte Carlo
- Dirichlet Process
- Gaussian Processes
- Mixture Models
- RNA methylation
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
- Machine Learning133 topics
- Data Analysis102 topics
- Clustering92 topics
- Feature Selection92 topics
- Bayesian Inference62 topics
- Gene Expression61 topic
- Microarray61 topic
- Variational Inference62 topics
- Gene Set Enrichment Analysis51 topic
- Protein-Protein Interaction Networks51 topic
- Persistent Homology41 topic
- Topological Methods41 topic
- Bayesian Monte Carlo31 topic
- Dimensionality Reduction31 topic
- Dirichlet Process31 topic
- Face Recognition31 topic
- Gaussian Processes31 topic
- Markov Chain31 topic
- Mixture Models31 topic
- Sparse Regression31 topic
- RNA methylation21 topic
- m6A-seq21 topic
Where does Sayan Mukherjee work?
Sayan Mukherjee's main affiliation in the publication record is Duke University, United States.
How many publications and citations does Sayan Mukherjee have?
Science Explorer counts 47 works and 5,748 citations for Sayan Mukherjee, ranking #10,005 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 Sayan Mukherjee
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