2026 Sanjoy Dasgupta: 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	49	5791	5625	2630	2536	129	12814

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

5791

5625

2630

2536

129

12814

Overview

Sanjoy Dasgupta is affiliated with the University of California, San Diego in the United States. Their research spans multiple areas within computer science, with a strong focus on artificial intelligence and related subfields.

The main fields of study for Dasgupta include:

Computer Science

Their work further delves into several subfields such as:

Artificial Intelligence
Electrical and Electronic Engineering
Cellular and Molecular Neuroscience
Computer Vision and Pattern Recognition
Signal Processing

Dasgupta's research topics cover a broad range of areas including:

Advanced Memory and Neural Computing
Machine Learning and Data Classification
Neurobiology and Insect Physiology Research
Machine Learning and Algorithms
Ferroelectric and Negative Capacitance Devices
Neural Networks and Reservoir Computing
Domain Adaptation and Few-Shot Learning

Frequent collaborators in Sanjoy Dasgupta's work include:

Saket Navlakha
Yang Shen
Tajana Rosing
Michal Moshkovitz
Geelon So

Among recent publications are the following notable papers:

"A Theoretical Perspective on Hyperdimensional Computing" (2021), published in Journal of Artificial Intelligence Research
"Habituation as a neural algorithm for online odor discrimination" (2020), published in Proceedings of the National Academy of Sciences
"Explainable k-Means and k-Medians Clustering" (2020), published on arXiv (Cornell University)
"A Non-Parametric Test to Detect Data-Copying in Generative Models" (2020), published on arXiv (Cornell University)
"Framework for Evaluating Faithfulness of Local Explanations" (2022), published on arXiv (Cornell University)

Dasgupta has contributed extensively to several publication venues, with emphasis on:

arXiv (Cornell University)
Proceedings of the National Academy of Sciences
Journal of Artificial Intelligence Research
Neural Computation
Nature Communications

Best Publications

An elementary proof of a theorem of Johnson and Lindenstrauss

Sanjoy Dasgupta;Anupam Gupta

1230
Citations
Learning mixtures of Gaussians

S. Dasgupta

837
Citations
A Generalization of Principal Components Analysis to the Exponential Family

Michael Collins;S. Dasgupta;Robert E Schapire

601
Citations
Hierarchical sampling for active learning

Sanjoy Dasgupta;Daniel Hsu

585
Citations
Random projection trees and low dimensional manifolds

Sanjoy Dasgupta;Yoav Freund

488
Citations
Experiments with random projection

Sanjoy Dasgupta

467
Citations
PAC Generalization Bounds for Co-training

Sanjoy Dasgupta;Michael L. Littman;David A. McAllester

406
Citations
Importance weighted active learning

Alina Beygelzimer;Sanjoy Dasgupta;John Langford

402
Citations
Classification accuracies of physical activities using smartphone motion sensors.

Wanmin Wu;Sanjoy Dasgupta;Ernesto E Ramirez;Carlyn Peterson

390
Citations
Off-Policy Temporal Difference Learning with Function Approximation

Doina Precup;Richard S. Sutton;Sanjoy Dasgupta

390
Citations
Coarse sample complexity bounds for active learning

Sanjoy Dasgupta

372
Citations
Analysis of a greedy active learning strategy

Sanjoy Dasgupta

366
Citations
A general agnostic active learning algorithm

Sanjoy Dasgupta;Claire Monteleoni;Daniel J. Hsu

364
Citations
Performance guarantees for hierarchical clustering

Sanjoy Dasgupta;Philip M. Long

333
Citations
Two faces of active learning

Sanjoy Dasgupta

314
Citations
A neural algorithm for a fundamental computing problem.

Sanjoy Dasgupta;Charles F. Stevens;Charles F. Stevens;Saket Navlakha

251
Citations
The hardness of k-means clustering

Sanjoy Dasgupta

237
Citations
The Complexity of Approximating the Entropy

Tuugkan Batu;Sanjoy Dasgupta;Ravi Kumar;Ronitt Rubinfeld

217
Citations
Analysis of Perceptron-Based Active Learning

Sanjoy Dasgupta;Adam Tauman Kalai;Claire Monteleoni

215
Citations
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians

Sanjoy Dasgupta;Leonard Schulman

214
Citations
A General Agnostic Active Learning Algorithm.

Sanjoy Dasgupta;Daniel J. Hsu;Claire Monteleoni

119
Citations

Frequent Co-Authors

Kamalika Chaudhuri University of California, San Diego

Daniel Hsu Columbia University

Yoav Freund University of California, San Diego

Tajana Rosing University of California, San Diego

Charles F. Stevens Salk Institute for Biological Studies

Charles R. Farrar Los Alamos National Laboratory

Ronitt Rubinfeld MIT

William G. Griswold University of California, San Diego

Leonard J. Schulman California Institute of Technology

Rajesh Gupta University of California, San Diego

External Links

Personal website of Sanjoy Dasgupta Google Scholar page

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