2026 J. Zico Kolter: 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	55	4184	4067	1974	1905	180	23405

J. Zico Kolter 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 J. Zico Kolter sits on this spectrum.

32 publications 991+

This scientist: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

J. Zico Kolter 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 J. Zico Kolter sits on this spectrum.

30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

J. Zico Kolter is affiliated with Carnegie Mellon University in the United States and has contributed extensively to the field of computer science with a focus on artificial intelligence and machine learning. Their research spans several key topics, including adversarial robustness in machine learning, anomaly detection techniques and applications, domain adaptation and few-shot learning, topic modeling, machine learning and data classification, model reduction and neural networks, and natural language processing techniques.

Their recent publications demonstrate a strong presence in top-tier venues and preprint archives. Notable papers include:

Fast is better than free: Revisiting adversarial training (2020), published in arXiv (Cornell University)
Universal and Transferable Adversarial Attacks on Aligned Language Models (2023), published in arXiv (Cornell University)
Machine Learning for Sustainable Energy Systems (2021), published in Annual Review of Environment and Resources
DC3: A learning method for optimization with hard constraints (2021), published in arXiv (Cornell University)
Representation Engineering: A Top-Down Approach to AI Transparency (2023), published in arXiv (Cornell University)

Kolter's frequent coauthors include Yiding Jiang, Priya L. Donti, Shaojie Bai, Matt Fredrikson, and Aditi Raghunathan, reflecting collaborative work across multiple projects and research areas.

The major venues where they have published most frequently include:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Annual Review of Environment and Resources
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
PLoS ONE

Kolter's work intersects fields such as:

Computer Science

With a detailed focus on subfields including:

Artificial Intelligence
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Statistical and Nonlinear Physics
Molecular Biology

The emphasis on adversarial robustness and related machine learning techniques is evident in the number of publications. Their research covers both theoretical and applied aspects of AI, including optimization methods and transparency in machine learning models.

Best Publications

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Shaojie Bai;J. Zico Kolter;Vladlen Koltun

4986
Citations
Towards fully autonomous driving: Systems and algorithms

Jesse Levinson;Jake Askeland;Jan Becker;Jennifer Dolson

1596
Citations
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

J. Zico Kolter;Marcus A. Maloof

1261
Citations
Multimodal Transformer for Unaligned Multimodal Language Sequences

Yao-Hung Hubert Tsai;Shaojie Bai;Paul Pu Liang;J. Zico Kolter;J. Zico Kolter

1178
Citations
Provable defenses against adversarial examples via the convex outer adversarial polytope

Eric Wong;J. Zico Kolter

1067
Citations
Certified Adversarial Robustness via Randomized Smoothing

Jeremy M. Cohen;Elan Rosenfeld;J. Zico Kolter

1035
Citations
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation

J. Zico Kolter;Tommi S. Jaakkola

916
Citations
Learning to Detect and Classify Malicious Executables in the Wild

J. Zico Kolter;Marcus A. Maloof

837
Citations
Provable defenses against adversarial examples via the convex outer adversarial polytope

J. Zico Kolter;Eric Wong

721
Citations
Fast is better than free: Revisiting adversarial training

Eric Wong;Leslie Rice;J. Zico Kolter

610
Citations
Learning to detect malicious executables in the wild

Unknown

578
Citations
OptNet: differentiable optimization as a layer in neural networks

Brandon Amos;J. Zico Kolter

460
Citations
Scaling provable adversarial defenses

Eric Wong;Frank R. Schmidt;Jan Hendrik Metzen;J. Zico Kolter

324
Citations
Differentiable Convex Optimization Layers

Akshay Agrawal;Brandon Amos;Shane T. Barratt;Stephen P. Boyd

314
Citations
Near-Bayesian exploration in polynomial time

J. Zico Kolter;Andrew Y. Ng

308
Citations
Deep Equilibrium Models

Shaojie Bai;J. Zico Kolter;Vladlen Koltun

305
Citations
End-to-End Differentiable Physics for Learning and Control

Filipe de Avila Belbute-Peres;Kevin A. Smith;Kelsey R. Allen;Josh Tenenbaum

304
Citations
Using additive expert ensembles to cope with concept drift

Unknown

300
Citations
Gradient descent GAN optimization is locally stable

Vaishnavh Nagarajan;J. Zico Kolter

290
Citations
Regularization and feature selection in least-squares temporal difference learning

J. Zico Kolter;Andrew Y. Ng

264
Citations
Task-based End-to-end Model Learning in Stochastic Optimization

Priya L. Donti;Brandon Amos;J. Zico Kolter

200
Citations
Differentiable MPC for End-to-end Planning and Control

Brandon Amos;Ivan Dario Jimenez Rodriguez;Jacob Sacks;Byron Boots

114
Citations

Frequent Co-Authors

Vladlen Koltun Apple (United States)

Pradeep Ravikumar Carnegie Mellon University

Andrew Y. Ng Stanford University

Ryan J. Tibshirani University of California, Berkeley

Huan Zhang University of California, Los Angeles

Saurabh Kumar Garg University of Tasmania

Ruslan Salakhutdinov Carnegie Mellon University

Zachary C. Lipton Carnegie Mellon University

Ashish Kapoor Microsoft (United States)

Stephen Boyd Stanford University

External Links

Personal website of J. Zico Kolter Google Scholar page

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

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