Fabrice Huet
- Computer Networks and Communications top 5%
- Information Systems top 10%
- Hardware and Architecture top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Denis CaromelSheheryar MalikFrédéric MagoulèsLori S. MestreJulien VayssièreHenri E. BalFrançoise BaudéPhilippe Nain
- Topics
- Distributed and Parallel Computing Systems (14 papers)Cloud Computing and Resource Management (8 papers)Parallel Computing and Optimization Techniques (8 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringFuture Generation Computer SystemsACM SIGMETRICS Performance Evaluation Review
- Partner nations
- FranceNetherlandsSpain
In The Last Decade
Fabrice Huet
25 papers receiving 203 citations
Peers
Comparison fields: 5 of 39
- Computer Networks and Communications 169
- Information Systems 101
- Hardware and Architecture 52
- Artificial Intelligence 44
- Computer Vision and Pattern Recognition 20
Countries citing papers authored by Fabrice Huet
This map shows the geographic impact of Fabrice Huet'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 Fabrice Huet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrice Huet more than expected).
Fields of papers citing papers by Fabrice Huet
This network shows the impact of papers produced by Fabrice Huet. 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 Fabrice Huet. The network helps show where Fabrice Huet may publish in the future.
Co-authorship network of co-authors of Fabrice Huet
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Huet. A scholar is included among the top collaborators of Fabrice Huet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fabrice Huet. Fabrice Huet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 34 | |
| 5 | 16 | |
| 6 | RACS: A framework for Resource Aware Cloud computing | 7 |
| 7 | Reliability aware scheduling in cloud computing | 8 |
| 8 | 13 | |
| 9 | Modular P2P-Based Approach for RDF Data Storage and Retrieval | 2 |
| 10 | 12 | |
| 11 | 6 | |
| 12 | HPC in Java: Experiences in Implementing the NAS Parallel Benchmarks | 5 |
| 13 | Current State of Java for HPC | 16 |
| 14 | 9 | |
| 15 | 19 | |
| 16 | ProActive: Programming, Composing, Deploying for the Grid | 1 |
| 17 | 33 | |
| 18 | Objets actifs mobiles et communicants. | 1 |
| 19 | 1 | |
| 20 | 13 |
About Fabrice Huet
Fabrice Huet is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 26 papers that have together received 224 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (14 papers), Cloud Computing and Resource Management (8 papers) and Parallel Computing and Optimization Techniques (8 papers). The work is most often cited by research in Hardware and Architecture (52 citations), Computer Networks and Communications (169 citations) and Information Systems (101 citations). Fabrice Huet has collaborated with scholars based in France, Netherlands and Spain. Frequent co-authors include Denis Caromel, Sheheryar Malik, Frédéric Magoulès, Lori S. Mestre, Julien Vayssière, Henri E. Bal, Françoise Baudé, Philippe Nain, Sara Alouf and Guillermo L. Taboada. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Future Generation Computer Systems and ACM SIGMETRICS Performance Evaluation Review.
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.