Robin Burke
Impact in
- Information Systems top 0.02%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Artificial Intelligence top 0.2%
- Topic Modeling
- Advanced Graph Neural Networks
Papers in
-
- Recommender Systems and Techniques 84
- Spam and Phishing Detection 11
-
- Topic Modeling 16
- Semantic Web and Ontologies 13
- Advanced Graph Neural Networks 10
- Co-authors
- Bamshad Mobasher (64 shared papers)Runa Bhaumik (12 shared papers)Chad Williams (8 shared papers)Kristian J. Hammond (10 shared papers)Himan Abdollahpouri (9 shared papers)Yong Zheng (12 shared papers)Alexander Felfernig (4 shared papers)Negar Hariri (7 shared papers)
- Journals
- AI Magazine (5 papers)User Modeling and User-Adapted Interaction (4 papers)Journal of Religion and Health (1 paper)ACM Transactions on Information Systems (1 paper)ACM Transactions on Internet Technology (1 paper)
- Partner nations
- United StatesNetherlandsAustria
In The Last Decade
Robin Burke
134 papers receiving 7.3k citations
Robin Burke's Hit Papers
Peers
Comparison fields: 5 of 119
- Information Systems 6.3k
- Artificial Intelligence 3.5k
- Management Science and Operations Research 1.4k
- Computer Science Applications 484
- Computer Vision and Pattern Recognition 1.7k
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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hybrid Recommender Systems: Survey and Experiments Hit paper breakdown → | 2002 | 2318 |
| 2 | Knowledge-based recommender systems | 2000 | 467 |
| 3 | 2007 | 327 | |
| 4 | 2008 | 322 | |
| 5 | 2017 | 231 | |
| 6 | 1997 | 226 | |
| 7 | 1997 | 224 | |
| 8 | 2012 | 188 | |
| 9 | 2006 | 183 | |
| 10 | 2007 | 176 | |
| 11 | 2020 | 155 | |
| 12 | 2008 | 150 | |
| 13 | 2011 | 133 | |
| 14 | 2007 | 114 | |
| 15 | Knowledge-based navigation of complex information spaces | 1996 | 109 |
| 16 | Model-based collaborative filtering as a defense against profile injection attacks | 2006 | 90 |
| 17 | Integrating Knowledge-based and Collaborative-filtering Recommender Systems | 2000 | 90 |
| 18 | 2007 | 80 | |
| 19 | 2007 | 79 | |
| 20 | Effective Attack Models for Shilling Item-Based Collaborative Filtering Systems | 2005 | 67 |
About Robin Burke
Robin Burke is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 144 papers that have together received 7.9k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (84 papers), Advanced Bandit Algorithms Research (32 papers), Topic Modeling (16 papers), Ethics and Social Impacts of AI (15 papers), Semantic Web and Ontologies (13 papers), Spam and Phishing Detection (11 papers), Advanced Graph Neural Networks (10 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Information Systems (6.3k citations), Artificial Intelligence (3.5k citations), Management Science and Operations Research (1.4k citations), Computer Science Applications (484 citations) and Computer Vision and Pattern Recognition (1.7k 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 J. Hammond, Himan Abdollahpouri, Yong Zheng, Alexander Felfernig, Negar Hariri, Ahu Sieg and Jonathan Gemmell. Their work appears in journals such as AI Magazine, User Modeling and User-Adapted Interaction, Journal of Religion and Health, ACM Transactions on Information Systems 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.