2026 Michael C. Mozer: 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	59	3384	3288	1640	1581	242	16428

Michael C. Mozer 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 Michael C. Mozer sits on this spectrum.

32 publications 991+

This scientist: 242 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Michael C. Mozer 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 Michael C. Mozer sits on this spectrum.

30 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Michael C. Mozer is affiliated with Google in the United States and has an extensive research record in the field of Computer Science, with a focus on Artificial Intelligence. Their work spans multiple subfields including Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Cognitive Neuroscience, among others.

The scientist's research topics exhibit significant breadth, covering Domain Adaptation and Few-Shot Learning, Adversarial Robustness in Machine Learning, Neural Networks and Applications, Multimodal Machine Learning Applications, Topic Modeling, Advanced Graph Neural Networks, and Machine Learning and Data Classification.

Notable recent publications include:

Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure (2021), Computational Brain & Behavior
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos (2022), arXiv (Cornell University)
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Mitigating Bias in Calibration Error Estimation (2020), arXiv (Cornell University)
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules (2020), arXiv (Cornell University)

Michael C. Mozer has coauthored numerous publications with several frequent collaborators. Among these are Anirudh Goyal, Yoshua Bengio, Alex Lamb, Nan Rosemary Ke, and Tyler R. Scott.

The scientist's work has been published predominantly in arXiv (Cornell University), with over 50 publications, as well as in venues such as Nature Communications, Computational Brain & Behavior, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and Cognitive Science.

Best Publications

Bayesian community-wide culture-independent microbial source tracking

Dan Knights;Justin Kuczynski;Emily S. Charlson;Jesse Zaneveld

1878
Citations
Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment

Michael C. Mozer;Paul Smolensky

900
Citations
The Neural Network House: An Environment that Adapts to its Inhabitants

Michael C. Mozer

795
Citations
Deep neural network improves fracture detection by clinicians.

Robert V. Lindsey;Aaron Daluiski;Sumit Chopra;Alexander Lachapelle

593
Citations
Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry

M.C. Mozer;R. Wolniewicz;D.B. Grimes;E. Johnson

514
Citations
Neural net architectures for temporal sequence processing

Michael C. Mozer

454
Citations
Optimizing distributed practice: theoretical analysis and practical implications.

Nicholas J Cepeda;Noriko Coburn;Doug Rohrer;John T Wixted

432
Citations
Using Relevance to Reduce Network Size Automatically

Michael C. Mozer;Paul Smolensky

411
Citations
An Intelligent Environment Must Be Adaptive

M.C. Mozer

406
Citations
The Perception of Multiple Objects: A Connectionist Approach

Michael C. Mozer

393
Citations
Optimizing classifier performance via an approximation to the Wilcoxon-Mann-Whitney statistic

Lian Yan;Robert Dodier;Michael C. Mozer;Richard Wolniewicz

358
Citations
Object-Based Attention and Occlusion Evidence From Normal Participants and a Computational Model

Marlene Behrmann;Richard S. Zemel;Michael C. Mozer

287
Citations
Improving Students’ Long-Term Knowledge Retention Through Personalized Review

Robert V. Lindsey;Jeffery D. Shroyer;Harold Pashler;Michael C. Mozer

282
Citations
Neural network music composition by prediction: exploring the benefits of psychoacoustic constraints and multi-scale processing

Michael C. Mozer

255
Citations
Advances in Neural Information Processing Systems 5

Richard S Zemel;Christopher Williams;Michael C Mozer

237
Citations
Lessons from an Adaptive Home

Michael C. Mozer

200
Citations
Induction of Multiscale Temporal Structure

Michael C Mozer

188
Citations
A Focused Backpropagation Algorithm for Temporal Pattern Recognition.

Michael C. Mozer

181
Citations
Evidence-based static branch prediction using machine learning

Brad Calder;Dirk Grunwald;Michael Jones;Donald Lindsay

171
Citations
How Deep is Knowledge Tracing

Mohammad Khajah;Robert V. Lindsey;Michael C. Mozer

163
Citations
Learning to generate images with perceptual similarity metrics

Jake Snell;Karl Ridgeway;Renjie Liao;Brett D. Roads

152
Citations

Frequent Co-Authors

Harold Pashler University of California, San Diego

Richard S. Zemel University of Toronto

Yoshua Bengio University of Montreal

Paul Smolensky Microsoft (United States)

Marlene Behrmann Carnegie Mellon University

Sepp Hochreiter Johannes Kepler University of Linz

Shaun P. Vecera University of Iowa

Dan Knights University of Minnesota

Samy Bengio Apple (United States)

Tim Curran University of Colorado Boulder

External Links

Personal website of Michael C. Mozer Google Scholar page

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