2026 Rajesh Ranganath: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	33	12397	12035	5024	4797	138	8789

Overview

Rajesh Ranganath is affiliated with New York University in the United States. Their research primarily spans the fields of Computer Science and Medicine, with a substantial focus on Artificial Intelligence and Statistics and Probability. Additional subfields include Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, and Computer Vision and Pattern Recognition.

The scientist's work explores several main topics including Machine Learning in Healthcare, Explainable Artificial Intelligence (XAI), Advanced Causal Inference Techniques, Statistical Methods and Inference, ECG Monitoring and Analysis, Radiomics and Machine Learning in Medical Imaging, and Adversarial Robustness in Machine Learning.

Rajesh Ranganath's recent publications cover a variety of themes relevant to these topics. Notable papers include:

"The role of machine learning in clinical research: transforming the future of evidence generation," 2021, Trials
"Reproducibility in machine learning for health research: Still a ways to go," 2021, Science Translational Medicine
"Deep learning models for electrocardiograms are susceptible to adversarial attack," 2020, Nature Medicine
"A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients," 2020, npj Digital Medicine
"Correction to: The role of machine learning in clinical research: transforming the future of evidence generation," 2021, Trials

The scientist frequently publishes in venues such as arXiv (Cornell University), PubMed, bioRxiv (Cold Spring Harbor Laboratory), Heart Rhythm, and Trials.

Rajesh Ranganath collaborates regularly with several co-authors. Frequent collaborators include:

Aahlad Puli
Neil Jethani
Yindalon Aphinyanaphongs
Mukund Sudarshan
Larry B. Goldstein

Best Publications

Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations

Honglak Lee;Roger Grosse;Rajesh Ranganath;Andrew Y. Ng

3346
Citations
Black Box Variational Inference

Rajesh Ranganath;Sean Gerrish;David M. Blei

984
Citations
Automatic differentiation variational inference

Alp Kucukelbir;Dustin Tran;Rajesh Ranganath;Andrew Gelman

743
Citations
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission

Kexin Huang;Jaan Altosaar;Rajesh Ranganath

701
Citations
Unsupervised learning of hierarchical representations with convolutional deep belief networks

Honglak Lee;Roger Grosse;Rajesh Ranganath;Andrew Y. Ng

504
Citations
A Review of Challenges and Opportunities in Machine Learning for Health

Marzyeh Ghassemi;Tristan Naumann;Peter Schulam;Andrew L Beam

335
Citations
The role of machine learning in clinical research: transforming the future of evidence generation

E. Hope Weissler;E. Hope Weissler;Tristan Naumann;Tomas Andersson;Rajesh Ranganath

268
Citations
Hierarchical variational models

Rajesh Ranganath;Dustin Tran;David M. Blei

267
Citations
Reproducibility in machine learning for health research: Still a ways to go.

Matthew B. A. McDermott;Shirly Wang;Shirly Wang;Nikki Marinsek;Rajesh Ranganath

233
Citations
A Review of Challenges and Opportunities in Machine Learning for Health

Marzyeh Ghassemi;Tristan Naumann;Peter Schulam;Andrew L. Beam

217
Citations
Variational Sequential Monte Carlo

Christian Andersson Naesseth;Scott Linderman;Rajesh Ranganath;David Blei

178
Citations
Automatic variational inference in Stan

Alp Kucukelbir;Rajesh Ranganath;Andrew Gelman;David M. Blei

177
Citations
Hierarchical Implicit Models and Likelihood-Free Variational Inference

Dustin Tran;Rajesh Ranganath;David M. Blei

176
Citations
Deep Exponential Families

Rajesh Ranganath;Linpeng Tang;Laurent Charlin;David M. Blei

159
Citations
Variational Gaussian Process

Dustin Tran;Rajesh Ranganath;David M. Blei

154
Citations
Automatic Differentiation Variational Inference

Alp Kucukelbir;Dustin Tran;Rajesh Ranganath;Andrew Gelman

152
Citations
Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

Adler J. Perotte;Rajesh Ranganath;Jamie S. Hirsch;David M. Blei

144
Citations
Practical guidance on artificial intelligence for health-care data.

Marzyeh Ghassemi;Tristan Naumann;Peter Schulam;Andrew L Beam

135
Citations
Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation

Dan Jurafsky;Rajesh Ranganath;Dan McFarland

130
Citations
Deep learning models for electrocardiograms are susceptible to adversarial attack.

Xintian Han;Yuxuan Hu;Luca Foschini;Larry Chinitz

127
Citations
Variational Inference via $\chi$ Upper Bound Minimization

Adji Bousso Dieng;Dustin Tran;Rajesh Ranganath;John W. Paisley

122
Citations
Bayesian Nonparametric Poisson Factorization for Recommendation Systems

Prem Gopalan;Francisco J. R. Ruiz;Rajesh Ranganath;David M. Blei

121
Citations
An Adaptive Learning Rate for Stochastic Variational Inference

Rajesh Ranganath;Chong Wang;Blei David;Eric Xing

120
Citations
Dynamic Poisson Factorization

Laurent Charlin;Rajesh Ranganath;James McInerney;David M. Blei

115
Citations
It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates

Rajesh Ranganath;Dan Jurafsky;Dan McFarland

113
Citations
Hierarchical Implicit Models and Likelihood-Free Variational Inference

Dustin Tran;Rajesh Ranganath;David M. Blei

103
Citations
The Variational Gaussian Process

Dustin Tran;Rajesh Ranganath;David M. Blei

94
Citations
Automatic Variational Inference in Stan

Alp Kucukelbir;Rajesh Ranganath;Andrew Gelman;David M. Blei

92
Citations

Frequent Co-Authors

David M. Blei Columbia University

Dustin Tran Google (United States)

Marzyeh Ghassemi MIT

Joan Bruna New York University

Luca Foschini University of Bologna

Noémie Elhadad Columbia University

David Sontag MIT

Kenneth A. Norman Princeton University

John Paisley Columbia University

Dan Jurafsky Stanford University

External Links

Personal website of Rajesh Ranganath

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