Renaud Lachaize
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
Papers in
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- Distributed systems and fault tolerance 9
- Advanced Data Storage Technologies 7
- Caching and Content Delivery 4
- Distributed and Parallel Computing Systems 3
- Peer-to-Peer Network Technologies 1
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- Parallel Computing and Optimization Techniques 8
- Co-authors
- Vivien Quéma (6 shared papers)Justin Funston (5 shared papers)Mohammad Dashti (5 shared papers)Baptiste Lepers (5 shared papers)Fabien Gaud (5 shared papers)Mark A. Roth (5 shared papers)Alexandra Fedorova (5 shared papers)Jakob S. Hansen (3 shared papers)
In The Last Decade
Renaud Lachaize
11 papers receiving 310 citations
Peers
Comparison fields: 5 of 19
- Hardware and Architecture 277
- Computer Networks and Communications 297
- Information Systems 129
- Computational Mathematics 1
- Computer Vision and Pattern Recognition 10
Countries citing papers authored by Renaud Lachaize
This map shows the geographic impact of Renaud Lachaize'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 Renaud Lachaize with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renaud Lachaize more than expected).
Fields of papers citing papers by Renaud Lachaize
This network shows the impact of papers produced by Renaud Lachaize. 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 Renaud Lachaize. The network helps show where Renaud Lachaize may publish in the future.
Co-authors
The 14 scholars most cited alongside Renaud Lachaize, 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 | 2013 | 202 | |
| 2 | 2013 | 46 | |
| 3 | 2015 | 31 | |
| 4 | 2013 | 12 | |
| 5 | 2018 | 12 | |
| 6 | 2003 | 5 | |
| 7 | 2010 | 5 | |
| 8 | 2008 | 3 | |
| 9 | 2005 | 2 | |
| 10 | 2006 | 2 | |
| 11 | 2015 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2005 | 0 |
About Renaud Lachaize
Renaud Lachaize is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Artificial Intelligence and Infectious Diseases, having authored 13 papers that have together received 321 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (9 papers), Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (7 papers), Cloud Computing and Resource Management (5 papers), Caching and Content Delivery (4 papers), Distributed and Parallel Computing Systems (3 papers), Security and Verification in Computing (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Hardware and Architecture (277 citations), Computer Networks and Communications (297 citations), Information Systems (129 citations), Computational Mathematics (1 citation) and Computer Vision and Pattern Recognition (10 citations). Renaud Lachaize has collaborated with scholars based in France, Canada and Greece. Frequent co-authors include Vivien Quéma, Justin Funston, Mohammad Dashti, Baptiste Lepers, Fabien Gaud, Mark A. Roth, Alexandra Fedorova, Jakob S. Hansen, Angelos Bilas and Michail D. Flouris. Their work appears in journals such as Journal of Parallel and Distributed Computing, ACM Transactions on Computer Systems, Queue, ACM SIGPLAN Notices and Communications of the ACM.
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.