World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
46
Citations
14180
World Ranking
1323
National Ranking
594

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - Fellow of the American Statistical Association (ASA)

Overview

Sudipto Banerjee is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple domains within environmental science, with a focus on integrating statistical and spatial analysis methods to address complex ecological and health-related questions.

The main field of Sudipto Banerjee's work is Environmental Science, comprising 131 publications. Their subfields of study include Environmental Engineering, Economics and Econometrics, Statistics and Probability, Health, Toxicology and Mutagenesis, and Artificial Intelligence.

Key topics covered in their research are:

  • Spatial and Panel Data Analysis
  • Air Quality and Health Impacts
  • Soil Geostatistics and Mapping
  • Oil Spill Detection and Mitigation
  • Statistical Methods and Bayesian Inference
  • Risk and Safety Analysis
  • Remote Sensing and LiDAR Applications

Banerjee's recent papers highlight a range of ecological and environmental concerns. Notable works include:

  • "Working across space and time: nonstationarity in ecological research and application," 2021, Frontiers in Ecology and the Environment
  • "Impact of gentrification on adult mental health," 2020, Health Services Research
  • "Elemental composition of fine and coarse particles across the greater Los Angeles area: Spatial variation and contributing sources," 2021, Environmental Pollution
  • "Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains," 2020, Journal of the American Statistical Association
  • "Joint species distribution models with imperfect detection for high-dimensional spatial data," 2023, Ecology

Their collaborations often involve frequent co-authors including Mark Stenzel, Patricia A. Stewart, Dale P. Sandler, Caroline P. Groth, and Lawrence S. Engel.

Banerjee has published extensively in venues such as arXiv (Cornell University), UNC Libraries, Annals of Work Exposures and Health, Journal of the American Statistical Association, and Statistics in Medicine.

The scientist has been recognized with several fellowships: Fellow of the American Association for the Advancement of Science (AAAS) awarded in 2020, and Fellow of the American Statistical Association (ASA) awarded in 2012.

Best Publications

  • Hierarchical Modeling and Analysis for Spatial Data

    Sudipto Banerjee;Bradley P. Carlin;Alan E. Gelfand

  • Gaussian predictive process models for large spatial data sets

    Sudipto Banerjee;Alan E. Gelfand;Andrew O. Finley;Huiyan Sang

  • Spatial Modeling With Spatially Varying Coefficient Processes

    Alan E Gelfand;Hyon-Jung Kim;C. F Sirmans;Sudipto Banerjee

  • Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets.

    Abhirup Datta;Sudipto Banerjee;Andrew O. Finley;Alan E. Gelfand

  • Nonstationary Multivariate Process Modeling through Spatially Varying Coregionalization

    Alexandra M. Schmidt;Sudipto Banerjee;Alan E. Gelfand;C. F. Sirmans

  • Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota.

    Sudipto Banerjee;Melanie M. Wall;Bradley P. Carlin

  • Generalized Hierarchical Multivariate CAR Models for Areal Data

    Xiaoping Jin;Bradley P. Carlin;Sudipto Banerjee

  • Improving the performance of predictive process modeling for large datasets

    Andrew O. Finley;Huiyan Sang;Sudipto Banerjee;Alan E. Gelfand

  • Linear Algebra and Matrix Analysis for Statistics

    Sudipto Banerjee;Anindya Roy

  • Spatial process modelling for univariate and multivariate dynamic spatial data

    Alan E. Gelfand;Sudipto Banerjee;Dani Gamerman

  • spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models

    Andrew O Finley;Sudipto Banerjee;Bradley P Carlin

  • Flexible Cure Rate Modeling Under Latent Activation Schemes

    Freda Cooner;Sudipto Banerjee;Bradley P Carlin;Debajyoti Sinha

  • spBayes for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models

    Andrew O. Finley;Sudipto Banerjee;Alan E. Gelfand

  • Hierarchical models facilitate spatial analysis of large data sets: a case study on invasive plant species in the northeastern United States.

    A. M. Latimer;S. Banerjee;H. Sang;E. S. Mosher

  • On geodetic distance computations in spatial modeling.

    Sudipto Banerjee

  • Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes

    Andrew O. Finley;Abhirup Datta;Bruce D. Cook;Douglas C. Morton

  • Order-free co-regionalized areal data models with application to multiple-disease mapping

    Xiaoping Jin;Sudipto Banerjee;Bradley P. Carlin

  • Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis

    Abhirup Datta;Sudipto Banerjee;Andrew O. Finley;Nicholas A.S. Hamm

  • Rating exposure control using Bayesian decision analysis.

    Paul Hewett;Perry Logan;John Mulhausen;Gurumurthy Ramachandran

  • Directional Rates of Change Under Spatial Process Models

    Sudipto Banerjee;Alan E Gelfand;C. F Sirmans

  • Non-separable Dynamic Nearest-Neighbor Gaussian Process Models for Large spatio-temporal Data With an Application to Particulate Matter Analysis

    Abhirup Datta;Sudipto Banerjee;Andrew O. Finley;Nicholas A.S. Hamm

Frequent Co-Authors

Alan E. Gelfand
Alan E. Gelfand Duke University
Bradley P. Carlin
Bradley P. Carlin University of Minnesota
Dale P. Sandler
Dale P. Sandler National Institutes of Health
Bruce D. Cook
Bruce D. Cook Goddard Space Flight Center
Aaron Blair
Aaron Blair National Institutes of Health
C. F. Sirmans
C. F. Sirmans Florida State University
Dipak K. Dey
Dipak K. Dey University of Connecticut
Douglas C. Morton
Douglas C. Morton Goddard Space Flight Center
Mark S. Handcock
Mark S. Handcock University of California, Los Angeles
John L. Adgate
John L. Adgate University of Colorado Anschutz Medical Campus

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