Anne Boyer
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
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- Recommender Systems and Techniques 21
- Data Mining Algorithms and Applications 6
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- Speech and dialogue systems 6
- Topic Modeling 3
- Co-authors
- Armelle Brun (23 shared papers)Olivier Buffet (3 shared papers)Geoffray Bonnin (5 shared papers)François Charpillet (7 shared papers)Jean‐Yves Hogrel (1 shared paper)Alejandra Martínez‐Monés (1 shared paper)David Hewson (1 shared paper)Rebecca Ferguson (1 shared paper)
In The Last Decade
Anne Boyer
49 papers receiving 220 citations
Peers
Comparison fields: 5 of 53
- Computer Science Applications 33
- Information Systems 131
- Statistical and Nonlinear Physics 50
- Artificial Intelligence 91
- Signal Processing 28
Countries citing papers authored by Anne Boyer
This map shows the geographic impact of Anne Boyer'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 Anne Boyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Boyer more than expected).
Fields of papers citing papers by Anne Boyer
This network shows the impact of papers produced by Anne Boyer. 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 Anne Boyer. The network helps show where Anne Boyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Boyer, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 45 | |
| 2 | Towards Preference Relations in Recommender Systems | 2010 | 26 |
| 3 | 2011 | 25 | |
| 4 | 2009 | 15 | |
| 5 | 2015 | 9 | |
| 6 | A Review on Explanations in Recommender Systems | 2017 | 8 |
| 7 | 2014 | 8 | |
| 8 | 2017 | 8 | |
| 9 | 2009 | 7 | |
| 10 | 2009 | 7 | |
| 11 | 2007 | 6 | |
| 12 | 2013 | 6 | |
| 13 | 2010 | 6 | |
| 14 | Integrated Information Technologies for patients remote follow-up and homecare | 2001 | 6 |
| 15 | 2015 | 4 | |
| 16 | 2021 | 4 | |
| 17 | A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation | 2006 | 3 |
| 18 | 2010 | 3 | |
| 19 | 2007 | 3 | |
| 20 | A positively directed mutual information measure for collaborative filtering | 2009 | 2 |
About Anne Boyer
Anne Boyer is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 56 papers that have together received 244 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (21 papers), Data Management and Algorithms (8 papers), Speech and dialogue systems (6 papers), Data Mining Algorithms and Applications (6 papers), Peer-to-Peer Network Technologies (5 papers), Online Learning and Analytics (5 papers), Complex Network Analysis Techniques (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Computer Science Applications (33 citations), Information Systems (131 citations), Statistical and Nonlinear Physics (50 citations), Artificial Intelligence (91 citations) and Signal Processing (28 citations). Anne Boyer has collaborated with scholars based in France, Brazil and Spain. Frequent co-authors include Armelle Brun, Olivier Buffet, Geoffray Bonnin, François Charpillet, Jean‐Yves Hogrel, Alejandra Martínez‐Monés, David Hewson, Rebecca Ferguson, Kairit Tammets and Hassan Amoud. Their work appears in journals such as Expert Systems with Applications, International Journal of Information and Learning Technology, IEEE Internet Computing, Social Network Analysis and Mining and Critical Quarterly.
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.