2026 Alex Beutel: 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	35	11597	11265	4761	4555	103	6051

Alex Beutel 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 Alex Beutel sits on this spectrum.

32 publications 991+

This scientist: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Alex Beutel 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 Alex Beutel sits on this spectrum.

30 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Alex Beutel is affiliated with OpenAI in the United States and has an extensive research record in computer science, particularly within artificial intelligence. Their work predominantly appears in the venue arXiv (Cornell University), with 30 publications, alongside contributions to conferences and journals such as the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, IEEE Journal on Selected Areas in Information Theory, and Dagstuhl Research Online Publication Server.

Their research spans several subfields, including:

Artificial Intelligence
Computer Vision and Pattern Recognition
Management Science and Operations Research
Safety Research
Information Systems

Within these areas, the main topics explored include:

Adversarial Robustness in Machine Learning
Explainable Artificial Intelligence (XAI)
Topic Modeling
Natural Language Processing Techniques
Ethics and Social Impacts of AI
Recommender Systems and Techniques
Multimodal Machine Learning Applications

Among the recent papers published by Alex Beutel are:

"Underspecification Presents Challenges for Credibility in Modern Machine Learning," 2020, arXiv (Cornell University)
"Measuring and Reducing Gendered Correlations in Pre-trained Models," 2020, arXiv (Cornell University)
"GPT-4o System Card," 2024, arXiv (Cornell University)
"Fairness without Demographics through Adversarially Reweighted Learning," 2020, arXiv (Cornell University)
"Measuring Recommender System Effects with Simulated Users," 2021, arXiv (Cornell University)

Frequent collaborators in their research include:

Jilin Chen
Xuezhi Wang
Ed H.
Ahmad Beirami
Ben Packer

Best Publications

The Case for Learned Index Structures

Tim Kraska;Alex Beutel;Ed H. Chi;Jeffrey Dean

888
Citations
Recurrent Recommender Networks

Chao-Yuan Wu;Amr Ahmed;Alex Beutel;Alexander J. Smola

771
Citations
Underspecification Presents Challenges for Credibility in Modern Machine Learning

Alexander D'Amour;Katherine A. Heller;Dan Moldovan;Ben Adlam

480
Citations
CopyCatch: stopping group attacks by spotting lockstep behavior in social networks

Alex Beutel;Wanhong Xu;Venkatesan Guruswami;Christopher Palow

428
Citations
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Alex Beutel;Ed H. Chi;Jilin Chen;Zhe Zhao

405
Citations
Top-K Off-Policy Correction for a REINFORCE Recommender System

Minmin Chen;Alex Beutel;Paul Covington;Sagar Jain

392
Citations
FRAUDAR: Bounding Graph Fraud in the Face of Camouflage

Bryan Hooi;Hyun Ah Song;Alex Beutel;Neil Shah

350
Citations
Latent Cross: Making Use of Context in Recurrent Recommender Systems

Alex Beutel;Paul Covington;Sagar Jain;Can Xu

338
Citations
Fairness in Recommendation Ranking through Pairwise Comparisons

Alex Beutel;Jilin Chen;Tulsee Doshi;Hai Qian

324
Citations
CatchSync: catching synchronized behavior in large directed graphs

Meng Jiang;Peng Cui;Alex Beutel;Christos Faloutsos

199
Citations
Counterfactual Fairness in Text Classification through Robustness

Sahaj Garg;Vincent Perot;Nicole Limtiaco;Ankur Taly

186
Citations
Winner takes all: competing viruses or ideas on fair-play networks

B. Aditya Prakash;Alex Beutel;Roni Rosenfeld;Christos Faloutsos

181
Citations
Interacting viruses in networks: can both survive?

Alex Beutel;B. Aditya Prakash;Roni Rosenfeld;Christos Faloutsos

159
Citations
Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements

Alex Beutel;Jilin Chen;Tulsee Doshi;Hai Qian

147
Citations
FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop

Alex Beutel;Partha Pratim Talukdar;Abhimanu Kumar;Christos Faloutsos

141
Citations
SageDB: A Learned Database System

Tim Kraska;Mohammad Alizadeh;Alex Beutel;Ed H. Chi

136
Citations
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection.

Bryan Hooi;Neil Shah;Alex Beutel;Stephan Günnemann

121
Citations
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective

Neil Shah;Alex Beutel;Brian Gallagher;Christos Faloutsos

113
Citations
Measuring and Reducing Gendered Correlations in Pre-trained Models

Kellie Webster;Xuezhi Wang;Ian Tenney;Alex Beutel

112
Citations
Q&R: A Two-Stage Approach toward Interactive Recommendation

Konstantina Christakopoulou;Alex Beutel;Rui Li;Sagar Jain

112
Citations
Inferring Strange Behavior from Connectivity Pattern in Social Networks

Meng Jiang;Peng Cui;Alex Beutel;Christos Faloutsos

109
Citations
A General Suspiciousness Metric for Dense Blocks in Multimodal Data

Meng Jiang;Alex Beutel;Peng Cui;Bryan Hooi

106
Citations
Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach

Meng Jiang;Peng Cui;Alex Beutel;Christos Faloutsos

100
Citations
Beyond Globally Optimal: Focused Learning for Improved Recommendations

Alex Beutel;Ed H. Chi;Zhiyuan Cheng;Hubert Pham

83
Citations
Network Anomaly Detection Using Co-clustering

E. E. Papalexakis;A. Beutel;P. Steenkiste

78
Citations
Graph-Based Fraud Detection in the Face of Camouflage

Bryan Hooi;Kijung Shin;Hyun Ah Song;Alex Beutel

74
Citations

Frequent Co-Authors

Ed H. Chi Google (United States)

Christos Faloutsos Carnegie Mellon University

Stephan Günnemann Technical University of Munich

Amr Ahmed University of Nottingham Malaysia Campus

Leman Akoglu Carnegie Mellon University

Tim Kraska MIT

Alexander J. Smola Amazon (United States)

Craig Boutilier Google (United States)

Neoklis Polyzotis Databricks

Lichan Hong Google (United States)

External Links

Personal website of Alex Beutel

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