2026 Ambuj Tewari: Engineering and Technology Researcher – H-Index, Publications & Awards

D-Index & Metrics

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	54	3155	3023	937	854	205	12084

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Engineering and Technology

3155

3023

937

854

205

12084

Engineering and Technology

D-Index

Citations

12084

World Ranking

3155

National Ranking

937

Overview

Ambuj Tewari is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily spans the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Materials Chemistry, and Computer Networks and Communications.

The scientist's work covers a broad range of topics including:

Advanced Bandit Algorithms Research
Machine Learning and Algorithms
Machine Learning in Materials Science
Computational Drug Discovery Methods
Privacy-Preserving Technologies in Data
Domain Adaptation and Few-Shot Learning
Mobile Health and mHealth Applications

Ambuj Tewari has contributed to numerous publications, with frequent appearances in:

arXiv (Cornell University)
Journal of Medical Internet Research
Automatica
Chemical Science
Journal of Chemical Information and Modeling

They have collaborated extensively with several co-authors over their career, including:

Unique Subedi
Vinod Raman
Paul M. Zimmerman
Ziping Xu
Srijan Sen

Some of the recent papers authored or co-authored by Ambuj Tewari include:

"Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial," 2020, Journal of Medical Internet Research
"Predicting reaction conditions from limited data through active transfer learning," 2022, Chemical Science
"Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data," 2021, JMIR mhealth and uhealth
"Optimism-Based Adaptive Regulation of Linear-Quadratic Systems," 2020, IEEE Transactions on Automatic Control
"Federated Learning via Synthetic Data," 2020, arXiv (Cornell University)

Best Publications

Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support

Inbal Nahum-Shani;Shawna N. Smith;Bonnie J. Spring;Linda M. Collins

2026
Citations
Learning with Noisy Labels

Nagarajan Natarajan;Inderjit S Dhillon;Pradeep K Ravikumar;Ambuj Tewari

849
Citations
Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.

Predrag Klasnja;Eric B. Hekler;Saul Shiffman;Audrey Boruvka

673
Citations
Stochastic methods for l1 regularized loss minimization

Shai Shalev-Shwartz;Ambuj Tewari

510
Citations
On the Consistency of Multiclass Classification Methods

Ambuj Tewari;Peter L. Bartlett

364
Citations
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization

Sham M Kakade;Karthik Sridharan;Ambuj Tewari

354
Citations
Composite objective mirror descent

John C. Duchi;Shai Shalev-Shwartz;Yoram Singer;Ambuj Tewari

352
Citations
PAC Subset Selection in Stochastic Multi-armed Bandits

Shivaram Kalyanakrishnan;Ambuj Tewari;Peter Auer;Peter Stone

313
Citations
Smoothness, Low Noise and Fast Rates

Nathan Srebro;Karthik Sridharan;Ambuj Tewari

257
Citations
REGAL: a regularization based algorithm for reinforcement learning in weakly communicating MDPs

Peter L. Bartlett;Ambuj Tewari

222
Citations
Stochastic Methods for l 1 -regularized Loss Minimization

Shai Shalev-Shwartz;Ambuj Tewari

211
Citations
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation

Prateek Jain;Ambuj Tewari;Purushottam Kar

199
Citations
Exploiting longer cycles for link prediction in signed networks

Kai-Yang Chiang;Nagarajan Natarajan;Ambuj Tewari;Inderjit S. Dhillon

197
Citations
Regularization techniques for learning with matrices

Sham M. Kakade;Shai Shalev-Shwartz;Ambuj Tewari

193
Citations
Efficient bandit algorithms for online multiclass prediction

Sham M. Kakade;Shai Shalev-Shwartz;Ambuj Tewari

181
Citations
Optimal Strategies and Minimax Lower Bounds for Online Convex Games

Jacob Duncan Abernethy;Peter Bartlett;Alexander Rakhlin;Ambuj Tewari

172
Citations
Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses

U. Martin Singh-Blom;Nagarajan Natarajan;Ambuj Tewari;John O. Woods

171
Citations
Prediction and clustering in signed networks: a local to global perspective

Kai-Yang Chiang;Cho-Jui Hsieh;Nagarajan Natarajan;Inderjit S. Dhillon

169
Citations
Greedy Algorithms for Structurally Constrained High Dimensional Problems

Ambuj Tewari;Pradeep K. Ravikumar;Inderjit S. Dhillon

164
Citations
On the Generalization Ability of Online Strongly Convex Programming Algorithms

Sham M Kakade;Ambuj Tewari

163
Citations
From Ads to Interventions: Contextual Bandits in Mobile Health

Ambuj Tewari;Susan A. Murphy

120
Citations