Robin Burke
Impact in
- Information Systems top 0.01%
- Recommender Systems and Techniques
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- Advanced Bandit Algorithms Research
Papers in
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- Recommender Systems and Techniques 112
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- Advanced Bandit Algorithms Research 42
- Co-authors
- Bamshad Mobasher (86 shared papers)Runa Bhaumik (14 shared papers)Chad Williams (10 shared papers)Kristian Hammond (11 shared papers)Yong Wei Zheng (17 shared papers)Himan Abdollahpouri (13 shared papers)Ahu Sieg (11 shared papers)Alexander Felfernig (2 shared papers)
- Journals
- AI Magazine (5 papers)User Modeling and User-Adapted Interaction (2 papers)Lecture notes in computer science (17 papers)Communications of the ACM (1 paper)ACM Transactions on Internet Technology (1 paper)
- Partner nations
- United StatesNetherlandsAustria
In The Last Decade
Robin Burke
169 papers receiving 10.8k citations
Robin Burke's Hit Papers
Peers
Comparison fields: 5 of 132
- Information Systems 9.3k
- Management Science and Operations Research 1.9k
- Artificial Intelligence 5.1k
- Computer Science Applications 738
- Computer Vision and Pattern Recognition 2.6k
Countries citing papers authored by Robin Burke
This map shows the geographic impact of Robin Burke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robin Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Burke more than expected).
Fields of papers citing papers by Robin Burke
This network shows the impact of papers produced by Robin Burke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robin Burke. The network helps show where Robin Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside Robin Burke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hybrid Recommender Systems: Survey and Experiments Hit paper breakdown → | 2002 | 2917 |
| 2 | Hybrid Web Recommender Systems Hit paper breakdown → | 2007 | 855 |
| 3 | Knowledge-based recommender systems | 2000 | 589 |
| 4 | Personalized recommendation in social tagging systems using hierarchical clustering Hit paper breakdown → | 2008 | 401 |
| 5 | 2007 | 378 | |
| 6 | 1997 | 292 | |
| 7 | 1997 | 279 | |
| 8 | Controlling Popularity Bias in Learning-to-Rank Recommendation Hit paper breakdown → | 2017 | 276 |
| 9 | 2007 | 233 | |
| 10 | 2012 | 212 | |
| 11 | 2008 | 205 | |
| 12 | Multistakeholder recommendation: Survey and research directions Hit paper breakdown → | 2020 | 205 |
| 13 | 2006 | 204 | |
| 14 | 2011 | 159 | |
| 15 | Knowledge-based navigation of complex information spaces | 1996 | 143 |
| 16 | 2007 | 128 | |
| 17 | Integrating Knowledge-based and Collaborative-filtering Recommender Systems | 2000 | 109 |
| 18 | Model-based collaborative filtering as a defense against profile injection attacks | 2006 | 100 |
| 19 | 2007 | 97 | |
| 20 | 2007 | 94 |
About Robin Burke
Robin Burke is a scholar working on Information Systems, Management Science and Operations Research, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 177 papers that have together received 11.6k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (112 papers), Advanced Bandit Algorithms Research (42 papers), Ethics and Social Impacts of AI (18 papers), Topic Modeling (18 papers), Data Management and Algorithms (17 papers), Image Retrieval and Classification Techniques (16 papers), Advanced Graph Neural Networks (16 papers) and Semantic Web and Ontologies (16 papers). The work is most often cited by research in Information Systems (9.3k citations), Management Science and Operations Research (1.9k citations), Artificial Intelligence (5.1k citations), Computer Science Applications (738 citations) and Computer Vision and Pattern Recognition (2.6k citations). Robin Burke has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Bamshad Mobasher, Runa Bhaumik, Chad Williams, Kristian Hammond, Yong Wei Zheng, Himan Abdollahpouri, Ahu Sieg, Alexander Felfernig, Jonathan F. Gemmell and Negar Hariri. Their work appears in journals such as AI Magazine, User Modeling and User-Adapted Interaction, Lecture notes in computer science, Communications of the ACM and ACM Transactions on Internet Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.