2026 Vikas Sindhwani: 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	51	5237	5090	2411	2328	171	14874

Vikas Sindhwani 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 Vikas Sindhwani sits on this spectrum.

32 publications 991+

This scientist: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Vikas Sindhwani 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 Vikas Sindhwani sits on this spectrum.

30 D-Index 131+

This scientist: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Vikas Sindhwani is a researcher affiliated with Google in the United States. Their work focuses on fields spanning Computer Science and Engineering, with significant contributions to Control and Systems Engineering, Computer Vision and Pattern Recognition, and Artificial Intelligence. Additional expertise includes Biomedical Engineering and Aerospace Engineering.

The scientist's research topics cover several key areas within robotics and machine learning, including:

Robotic Path Planning Algorithms
Reinforcement Learning in Robotics
Robot Manipulation and Learning
Fault Detection and Control Systems
Multimodal Machine Learning Applications
Model Reduction and Neural Networks
Human Pose and Action Recognition

Vikas Sindhwani has contributed extensively to academic publications, with a large number of works appearing in prominent venues. Frequent publication venues include:

arXiv (Cornell University)
IEEE Robotics and Automation Letters
2022 International Conference on Robotics and Automation (ICRA)
The International Journal of Robotics Research
Foundations of Computational Mathematics

Some recent papers authored or coauthored by Sindhwani are:

"Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language" (2022, arXiv (Cornell University))
"Transporter Networks: Rearranging the Visual World for Robotic Manipulation" (2020, arXiv (Cornell University))
"Learning Stability Certificates from Data" (2020, arXiv (Cornell University))
"Trajectory Optimization with Optimization-Based Dynamics" (2022, IEEE Robotics and Automation Letters)

Collaboration is also a significant aspect of Sindhwani's research, with frequent coauthors including:

Krzysztof Choromański
Deepali Jain
Pete Florence
Sumeet Singh

Best Publications

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

Mikhail Belkin;Partha Niyogi;Vikas Sindhwani

4474
Citations
Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets

Tara N. Sainath;Brian Kingsbury;Vikas Sindhwani;Ebru Arisoy

727
Citations
Beyond the point cloud: from transductive to semi-supervised learning

Vikas Sindhwani;Partha Niyogi;Mikhail Belkin

612
Citations
Optimization Techniques for Semi-Supervised Support Vector Machines

Olivier Chapelle;Vikas Sindhwani;Sathiya S. Keerthi

557
Citations
A Co-Regularization Approach to Semi-supervised Learning with Multiple Views

Vikas Sindhwani;Partha Niyogi;Mikhail Belkin

486
Citations
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Unknown

478
Citations
SystemML: Declarative machine learning on MapReduce

Amol Ghoting;Rajasekar Krishnamurthy;Edwin Pednault;Berthold Reinwald

443
Citations
Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria

Pei-Yun Hsueh;Prem Melville;Vikas Sindhwani

391
Citations
On Manifold Regularization.

Misha Belkin;Partha Niyogi;Vikas Sindhwani

381
Citations
Large scale semi-supervised linear SVMs

Vikas Sindhwani;S. Sathiya Keerthi

336
Citations
An RKHS for multi-view learning and manifold co-regularization

Vikas Sindhwani;David S. Rosenberg

289
Citations
Document-Word Co-regularization for Semi-supervised Sentiment Analysis

V. Sindhwani;P. Melville

269
Citations
Structured transforms for small-footprint deep learning

Vikas Sindhwani;Tara N. Sainath;Sanjiv Kumar

216
Citations
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge

Tao Li;Yi Zhang;Vikas Sindhwani

215
Citations
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization

Ankan Saha;Vikas Sindhwani

198
Citations
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models

S. S. Keerthi;Vikas Sindhwani;Olivier Chapelle

193
Citations
Branch and Bound for Semi-Supervised Support Vector Machines

Olivier Chapelle;Vikas Sindhwani;S. S. Keerthi

180
Citations
Emerging topic detection using dictionary learning

Shiva Prasad Kasiviswanathan;Prem Melville;Arindam Banerjee;Vikas Sindhwani

176
Citations
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization

Abhishek Kumar;Vikas Sindhwani;Prabhanjan Kambadur

173
Citations
Deterministic annealing for semi-supervised kernel machines

Vikas Sindhwani;S. Sathiya Keerthi;Olivier Chapelle

168
Citations
Quasi-Monte Carlo feature maps for shift-invariant kernels

Haim Avron;Vikas Sindhwani;Jiyan Yang;Michael W. Mahoney

112
Citations

Frequent Co-Authors

Jean-Jacques E. Slotine MIT

Tara N. Sainath Google (United States)

Adrian Weller University of Cambridge

Partha Niyogi University of Chicago

Jianying Hu IBM (United States)

Aleksandra Mojsilovic IBM (United States)

Marco Pavone Stanford University

Olivier Chapelle Google (United States)

Michael W. Mahoney University of California, Berkeley

Berthold Reinwald IBM (United States)

External Links

Personal website of Vikas Sindhwani Google Scholar page

If you think any of the details on this page are incorrect, let us know.

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