Christophe Gravier
- Media Technology top 2%
- Experimental Learning in Engineering 10
- Architecture top 5%
- Hardware and Architecture top 10%
- Computer Science Applications top 10%
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- Peer-to-Peer Network Technologies 5
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- Topic Modeling 8
- Natural Language Processing Techniques 6
- Semantic Web and Ontologies 6
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- Recommender Systems and Techniques 6
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- Multimedia Communication and Technology 6
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- Multimodal Machine Learning Applications 4
- Co-authors
- Jacques FayolleJérémy LardonBernard BayardFrédérique LaforestOlivier BoissierAmro NajjarMartin J. O’ConnorDominique Houzet
- Journals
- Proceedings of the VLDB Endowment (2 papers)IEEE Intelligent Systems (1 paper)IEEE Internet Computing (1 paper)
- Partner nations
- FranceAlgeriaUnited Kingdom
In The Last Decade
Christophe Gravier
40 papers receiving 329 citations
Peers
Comparison fields: 5 of 60
- Media Technology 205
- Architecture 19
- Hardware and Architecture 57
- Computer Science Applications 32
- Computer Networks and Communications 69
Countries citing papers authored by Christophe Gravier
This map shows the geographic impact of Christophe Gravier'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 Christophe Gravier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Gravier more than expected).
Fields of papers citing papers by Christophe Gravier
This network shows the impact of papers produced by Christophe Gravier. 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 Christophe Gravier. The network helps show where Christophe Gravier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christophe Gravier, 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 | 2023 | 2 | |
| 2 | 2016 | 3 | |
| 3 | 2016 | 11 | |
| 4 | When Hashtags Meet Recommendation in e-learning Systems | 2015 | 1 |
| 5 | 2015 | 1 | |
| 6 | 2015 | 2 | |
| 7 | 2015 | 1 | |
| 8 | 2014 | 1 | |
| 9 | 2014 | 9 | |
| 10 | 2014 | 4 | |
| 11 | 2014 | 0 | |
| 12 | 2013 | 9 | |
| 13 | 2012 | 3 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 19 | |
| 16 | 2010 | 15 | |
| 17 | 2009 | 3 | |
| 18 | Coping with collaborative and competitive episodes within collaborative remote laboratories | 2008 | 5 |
| 19 | 2008 | 160 | |
| 20 | 2008 | 2 |
About Christophe Gravier
Christophe Gravier is a scholar working on Media Technology, Computer Science Applications and Computer Networks and Communications, having authored 45 papers that have together received 360 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (10 papers), Topic Modeling (8 papers), Recommender Systems and Techniques (6 papers), Natural Language Processing Techniques (6 papers), Semantic Web and Ontologies (6 papers), Multimedia Communication and Technology (6 papers), Peer-to-Peer Network Technologies (5 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Media Technology (205 citations), Architecture (19 citations) and Hardware and Architecture (57 citations). Christophe Gravier has collaborated with scholars based in France, Algeria and United Kingdom. Frequent co-authors include Jacques Fayolle, Jérémy Lardon, Bernard Bayard, Frédérique Laforest, Olivier Boissier, Amro Najjar, Martin J. O’Connor, Dominique Houzet, Baha Eddine Youcef Belmekki and Nicole Yankelovich. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Intelligent Systems and IEEE Internet Computing.
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.