Florent Garcin
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Marketing top 10%
- Customer churn and segmentation
- Consumer Market Behavior and Pricing
Papers in
-
- Recommender Systems and Techniques 6
-
- Customer churn and segmentation 3
- Journals
- ACM Transactions on the Web (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (7 papers)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (1 paper)
- Partner nations
- SwitzerlandChinaUnited States
In The Last Decade
Florent Garcin
14 papers receiving 382 citations
Peers
Comparison fields: 5 of 46
- Information Systems 230
- Marketing 83
- Management Science and Operations Research 95
- Computational Mathematics 3
- Artificial Intelligence 150
Countries citing papers authored by Florent Garcin
This map shows the geographic impact of Florent Garcin'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 Florent Garcin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florent Garcin more than expected).
Fields of papers citing papers by Florent Garcin
This network shows the impact of papers produced by Florent Garcin. 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 Florent Garcin. The network helps show where Florent Garcin may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Florent Garcin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 55 | |
| 2 | 2015 | 17 | |
| 3 | 2014 | 4 | |
| 4 | 2014 | 96 | |
| 5 | 2014 | 94 | |
| 6 | 2014 | 3 | |
| 7 | 2013 | 10 | |
| 8 | 2013 | 17 | |
| 9 | 2012 | 20 | |
| 10 | 2010 | 24 | |
| 11 | 2009 | 7 | |
| 12 | 2009 | 18 | |
| 13 | Aggregating Reputation Feedback | 2009 | 23 |
| 14 | 2008 | 14 |
About Florent Garcin
Florent Garcin is a scholar working on Information Systems, Marketing, Computer Vision and Pattern Recognition, Management Science and Operations Research and Computer Science Applications, having authored 14 papers that have together received 402 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Video Analysis and Summarization (4 papers), Customer churn and segmentation (3 papers), Auction Theory and Applications (2 papers), Topic Modeling (2 papers), Underwater Vehicles and Communication Systems (2 papers), Multimedia Communication and Technology (2 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Information Systems (230 citations), Marketing (83 citations), Management Science and Operations Research (95 citations), Computational Mathematics (3 citations) and Artificial Intelligence (150 citations). Florent Garcin has collaborated with scholars based in Switzerland, China and United States. Frequent co-authors include Boi Faltings, Boi Faltings, Julian Runge, Peng Gao, Radu Jurca, Andrii Maksai, Kai Zhou, Bin Liu, Fengyuan Ren and Chuang Lin. Their work appears in journals such as ACM Transactions on the Web, Infoscience (Ecole Polytechnique Fédérale de Lausanne), Infoscience (Ecole Polytechnique Fédérale de Lausanne), Proceedings of the AAAI Conference on Artificial Intelligence and 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent 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.