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

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	54	3157	3023	938	855	205	12084

Ambuj Tewari publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ambuj Tewari sits on this spectrum.

38 publications 804+

This scientist: 205 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ambuj Tewari D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ambuj Tewari sits on this spectrum.

30 D-Index 107+

This scientist: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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