2026 Sujay Sanghavi: 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	46	6772	6576	2983	2872	142	10218

Sujay Sanghavi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Sujay Sanghavi sits on this spectrum.

32 publications 991+

This scientist: 142 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Sujay Sanghavi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Sujay Sanghavi sits on this spectrum.

30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Sujay Sanghavi is affiliated with The University of Texas at Austin in the United States and focuses primarily on research within the field of Computer Science. Their work extensively covers subfields including Artificial Intelligence, Management Science and Operations Research, Computational Mechanics, Statistics and Probability, and Computer Vision and Pattern Recognition.

The main topics explored in their research include:

Stochastic Gradient Optimization Techniques
Sparse and Compressive Sensing Techniques
Machine Learning and Data Classification
Advanced Bandit Algorithms Research
Machine Learning and Algorithms
Topic Modeling
Privacy-Preserving Technologies in Data

Sanghavi has a significant publication record with 81 works predominantly appearing in two main venues: arXiv (Cornell University) with 50 publications and IEEE Transactions on Parallel and Distributed Systems with 1 publication.

Recent papers authored or co-authored by Sanghavi include:

"On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning" (2021), IEEE Transactions on Parallel and Distributed Systems
"Choosing the Sample with Lowest Loss makes SGD Robust" (2020), arXiv (Cornell University)
"Faster Non-Convex Federated Learning via Global and Local Momentum" (2020), arXiv (Cornell University)
"Robust Training in High Dimensions via Block Coordinate Geometric Median Descent" (2021), arXiv (Cornell University)
"DataComp-LM: In search of the next generation of training sets for language models" (2024), arXiv (Cornell University)

Frequent collaborators in Sanghavi's research include Inderjit S. Dhillon, Rudrajit Das, Anish Acharya, Tongzheng Ren, and Abolfazl Hashemi.

Best Publications

Rank-Sparsity Incoherence for Matrix Decomposition

Venkat Chandrasekaran;Sujay Sanghavi;Pablo A. Parrilo;Alan S. Willsky

1299
Citations
Low-rank matrix completion using alternating minimization

Prateek Jain;Praneeth Netrapalli;Sujay Sanghavi

1168
Citations
Robust PCA via Outlier Pursuit

Huan Xu;C. Caramanis;S. Sanghavi

701
Citations
Phase Retrieval Using Alternating Minimization

Praneeth Netrapalli;Prateek Jain;Sujay Sanghavi

645
Citations
A Dirty Model for Multi-task Learning

Ali Jalali;Sujay Sanghavi;Chao Ruan;Pradeep K. Ravikumar

487
Citations
Sparse and low-rank matrix decompositions

Venkat Chandrasekaran;Sujay Sanghavi;Pablo A. Parrilo;Alan S. Willsky

374
Citations
Gossiping with Multiple Messages

S. Sanghavi;B. Hajek;L. Massoulie

300
Citations
Low-Rank Matrix Recovery From Errors and Erasures

Yudong Chen;A. Jalali;S. Sanghavi;C. Caramanis

220
Citations
Learning the graph of epidemic cascades

Praneeth Netrapalli;Sujay Sanghavi

211
Citations
Distributed link scheduling with constant overhead

Sujay Sanghavi;Loc Bui;R. Srikant

196
Citations
Non-convex Robust PCA

Praneeth Netrapalli;Niranjan U N;Sujay Sanghavi;Animashree Anandkumar

190
Citations
Clustering Sparse Graphs

Yudong Chen;Sujay Sanghavi;Huan Xu

187
Citations
Sequential Compressed Sensing

D.M. Malioutov;S.R. Sanghavi;A.S. Willsky

173
Citations
Clustering partially observed graphs via convex optimization

Yudong Chen;Ali Jalali;Sujay Sanghavi;Huan Xu

158
Citations
Dropping Convexity for Faster Semi-definite Optimization

Srinadh Bhojanapalli;Anastasios Kyrillidis;Sujay Sanghavi

154
Citations
Message Passing for Maximum Weight Independent Set

S. Sanghavi;D. Shah;A.S. Willsky

149
Citations
Robust Matrix Completion and Corrupted Columns

Yudong Chen;Huan Xu;Constantine Caramanis;Sujay Sanghavi

141
Citations
Coherent Matrix Completion

Yudong Chen;Srinadh Bhojanapalli;Sujay Sanghavi;Rachel Ward

139
Citations
Learning with Bad Training Data via Iterative Trimmed Loss Minimization

Yanyao Shen;Sujay Sanghavi

137
Citations
Coherent Matrix Completion

Srinadh Bhojanapalli;Yudong Chen;Sujay Sanghavi;Rachel Ward

135
Citations
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach

Dohyung Park;Anastasios Kyrillidis;Constantine Caramanis;Sujay Sanghavi

134
Citations
Improved Graph Clustering

Yudong Chen;Sujay Sanghavi;Huan Xu

105
Citations

Frequent Co-Authors

Sanjay Shakkottai The University of Texas at Austin

Constantine Caramanis The University of Texas at Austin

Alan S. Willsky MIT

Praneeth Netrapalli Google (United States)

Huan Xu Alibaba Group (China)

Alexandros G. Dimakis The University of Texas at Austin

Prateek Jain Google (United States)

Inderjit S. Dhillon Google (United States)

Bruce Hajek University of Illinois at Urbana-Champaign

Rachel Ward The University of Texas at Austin

External Links

Personal website of Sujay Sanghavi Google Scholar page

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