2026 Rich Caruana: 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	66	2249	2182	1122	1081	160	43168

Rich Caruana 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 Rich Caruana sits on this spectrum.

32 publications 991+

This scientist: 160 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Rich Caruana 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 Rich Caruana sits on this spectrum.

30 D-Index 131+

This scientist: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Rich Caruana is affiliated with Microsoft in the United States. Their research primarily spans the fields of computer science and medicine, with significant contributions in artificial intelligence and healthcare applications. Their work focuses on explainable artificial intelligence (XAI), machine learning in healthcare, adversarial robustness, and specialized topics such as maternal and fetal healthcare, pregnancy, and preeclampsia studies.

Their recent publications include the following papers:

Neural Additive Models: Interpretable Machine Learning with Neural Nets, 2020, arXiv (Cornell University)
Augmenting interpretable models with large language models during training, 2023, Nature Communications
Rethinking Interpretability in the Era of Large Language Models, 2024, arXiv (Cornell University)
Considerations when learning additive explanations for black-box models, 2023, Machine Learning
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values, 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Caruana's frequent co-authors include Harsha Nori, Benjamin J. Lengerich, Ian Painter, Kristin Sitcov, and Tomas M. Bosschieter. Collaboration with these researchers is reflected in multiple publications.

The venues where Caruana often publishes are arXiv (Cornell University), American Journal of Obstetrics and Gynecology, bioRxiv (Cold Spring Harbor Laboratory), the Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, and the International Journal of Radiation Oncology*Biology*Physics.

Their main fields of study encompass:

Computer Science
Medicine

Subfields of study include:

Artificial Intelligence
Pediatrics, Perinatology and Child Health
Obstetrics and Gynecology
Statistics and Probability
Surgery

The primary research topics covered in their work are:

Explainable Artificial Intelligence (XAI)
Machine Learning in Healthcare
Adversarial Robustness in Machine Learning
Topic Modeling
Maternal and fetal healthcare
Pregnancy and preeclampsia studies
Machine Learning and Data Classification

Best Publications

Multitask Learning

Rich Caruana

9041
Citations
An empirical comparison of supervised learning algorithms

Rich Caruana;Alexandru Niculescu-Mizil

3577
Citations
Model compression

Cristian Buciluǎ;Rich Caruana;Alexandru Niculescu-Mizil

2504
Citations
Do Deep Nets Really Need to be Deep

Jimmy Ba;Rich Caruana

2144
Citations
Multitask learning

Rich Caruana

1933
Citations
Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Rich Caruana;Yin Lou;Johannes Gehrke;Paul Koch

1827
Citations
Predicting good probabilities with supervised learning

Alexandru Niculescu-Mizil;Rich Caruana

1708
Citations
Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping

Rich Caruana;Steve Lawrence;C. Lee Giles

1279
Citations
Multitask learning: a knowledge-based source of inductive bias

Rich Caruana

1112
Citations
Ensemble selection from libraries of models

Rich Caruana;Alexandru Niculescu-Mizil;Geoff Crew;Alex Ksikes

1082
Citations
Removing the Genetics from the Standard Genetic Algorithm

Shumeet Baluja;Rich Caruana

845
Citations
Greedy attribute selection

Rich Caruana;Dayne Freitag

835
Citations
An empirical evaluation of supervised learning in high dimensions

Rich Caruana;Nikos Karampatziakis;Ainur Yessenalina

716
Citations
Experience with a learning personal assistant

Tom M. Mitchell;Rich Caruana;Dayne Freitag;John McDermott

664
Citations
Self-Optimizing Memory Controllers: A Reinforcement Learning Approach

Engin Ipek;Onur Mutlu;José F. Martínez;Rich Caruana

582
Citations
Intelligible models for classification and regression

Yin Lou;Rich Caruana;Johannes Gehrke

574
Citations
Accurate intelligible models with pairwise interactions

Yin Lou;Rich Caruana;Johannes Gehrke;Giles Hooker

540
Citations
Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning

Harmanpreet Kaur;Harsha Nori;Samuel Jenkins;Rich Caruana

476
Citations
Data mining in metric space: an empirical analysis of supervised learning performance criteria

Rich Caruana;Alexandru Niculescu-Mizil

430
Citations
Semi-Supervised Clustering with User Feedback

David Cohn;Rich Caruana;Andrew Kachites McCallum

418
Citations
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Pavel Berkhin;Rich Caruana;Xindong Wu

344
Citations
InterpretML: A Unified Framework for Machine Learning Interpretability.

Harsha Nori;Samuel Jenkins;Paul Koch;Rich Caruana

291
Citations

Frequent Co-Authors

Giles Hooker University of Pennsylvania

Eric Horvitz Microsoft (United States)

Matthew Richardson Microsoft (United States)

Abdel-rahman Mohamed Facebook (United States)

Matthai Philipose Microsoft (United States)

Ece Kamar Microsoft (United States)

Dale R. Durran University of Washington

Wesley M. Hochachka Cornell University

Johannes Gehrke Microsoft (United States)

Charles Sutton Google (United States)

External Links

Personal website of Rich Caruana Google Scholar page

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

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