2026 Robin Burke: 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	68	2055	1990	1039	999	215	22944

Overview

Robin Burke is affiliated with the University of Colorado Boulder in the United States and conducts research primarily within the field of computer science. Their work concentrates on areas such as information systems, management science and operations research, and artificial intelligence.

The scientist's research spans multiple topics including:

Recommender Systems and Techniques
Advanced Bandit Algorithms Research
Ethics and Social Impacts of AI
Mobile Crowdsensing and Crowdsourcing
Consumer Market Behavior and Pricing
Topic Modeling
Decision-Making and Behavioral Economics

Robin Burke has contributed to several scholarly papers published across notable venues. Some recent publications include:

"Multistakeholder recommendation: Survey and research directions," 2020, User Modeling and User-Adapted Interaction
"Fairness in Information Access Systems," 2022, Foundations and Trends® in Information Retrieval
"Adverse childhood experiences (ACEs), cell-mediated immunity, and survival in the context of cancer," 2020, Brain Behavior and Immunity
"A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems," 2021, ACM Transactions on Information Systems
"The multisided complexity of fairness in recommender systems," 2022, AI Magazine

The venues where Robin Burke frequently publishes work include:

arXiv (Cornell University)
User Modeling and User-Adapted Interaction
ACM Transactions on Recommender Systems
Foundations and Trends® in Information Retrieval
Brain Behavior and Immunity

Collaborative efforts are evident with frequent co-authors such as:

Himan Abdollahpouri
Masoud Mansoury
Nicholas Mattei
Bamshad Mobasher
Michael D. Ekstrand

Best Publications

Hybrid Recommender Systems: Survey and Experiments

Robin Burke

5977
Citations
Hybrid web recommender systems

Robin Burke

1933
Citations
Knowledge-based recommender systems

Robin Burke

1057
Citations
Personalized recommendation in social tagging systems using hierarchical clustering

Andriy Shepitsen;Jonathan Gemmell;Bamshad Mobasher;Robin Burke

800
Citations
Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System

Robin D. Burke;Kristian J. Hammond;Vladimir A. Kulyukin;Steven L. Lytinen

642
Citations
Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness

Bamshad Mobasher;Robin Burke;Runa Bhaumik;Chad Williams

620
Citations
Web search personalization with ontological user profiles

Ahu Sieg;Bamshad Mobasher;Robin Burke

515
Citations
The FindMe approach to assisted browsing

R.D. Burke;K.J. Hammond;B.C. Yound

515
Citations
Controlling Popularity Bias in Learning-to-Rank Recommendation

Himan Abdollahpouri;Robin Burke;Bamshad Mobasher

412
Citations
Constraint-based recommender systems: technologies and research issues

A. Felfernig;R. Burke

406
Citations
Context-aware music recommendation based on latenttopic sequential patterns

Negar Hariri;Bamshad Mobasher;Robin Burke

353
Citations
Classification features for attack detection in collaborative recommender systems

Robin Burke;Bamshad Mobasher;Chad Williams;Runa Bhaumik

324
Citations
Multistakeholder recommendation: Survey and research directions

Himan Abdollahpouri;Gediminas Adomavicius;Robin Burke;Ido Guy

287
Citations
Integrating Knowledge-based and Collaborative-filtering Recommender Systems

Robin Burke

280
Citations
Knowledge-based navigation of complex information spaces

Robin D. Burke;Kristian J. Hammond;Benjamin C. Young

255
Citations
Recommender Systems: An Overview

Robin D. Burke;Alexander Felfernig;Mehmet H. Göker

247
Citations
Research commentary on recommendations with side information: A survey and research directions

Zhu Sun;Qing Guo;Jie Yang;Hui Fang

211
Citations
Robustness of collaborative recommendation based on association rule mining

J. J. Sandvig;Bamshad Mobasher;Robin Burke

195
Citations
Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering

Jonathan Gemmell;Andriy Shepitsen;Bamshad Mobasher;Robin Burke

195
Citations
Multisided Fairness for Recommendation.

Robin Burke

161
Citations
Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking.

Himan Abdollahpouri;Robin Burke;Bamshad Mobasher

119
Citations
The Unfairness of Popularity Bias in Recommendation.

Himan Abdollahpouri;Masoud Mansoury;Robin Burke;Bamshad Mobasher

107
Citations
Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys

Lawrence D. Bergman;Alexander Tuzhilin;Robin Burke;Alexander Felfernig

33
Citations

Frequent Co-Authors

Bamshad Mobasher DePaul University

Kristian J. Hammond Northwestern University

Gediminas Adomavicius University of Minnesota

Mykola Pechenizkiy Eindhoven University of Technology

Alexander Felfernig Graz University of Technology

Dietmar Jannach University of Klagenfurt

Yehuda Koren Google (United States)

Alexander Tuzhilin New York University

Mark Dredze Johns Hopkins University

Lars Schmidt-Thieme University of Hildesheim

External Links

Personal website of Robin Burke Google Scholar page

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