Raphaël Bolze
Impact in
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
- Energy Efficiency in Computing
Papers in
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- Distributed and Parallel Computing Systems 8
- Genetics 2
- Genetic Associations and Epidemiology 2
- Co-authors
- Frédéric Desprez (7 shared papers)Eddy Caron A (5 shared papers)Benjamin Quétier (1 shared paper)Franck Cappello (1 shared paper)Raymond Namyst D (1 shared paper)Julien Leduc (1 shared paper)Olivier Richard (1 shared paper)Yvon Jégou (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)The International Journal of High Performance Computing Applications (1 paper)Bioinformatics (1 paper)Journal of Grid Computing (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Raphaël Bolze
11 papers receiving 458 citations
Raphaël Bolze's Hit Papers
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 221
- Hardware and Architecture 72
- Information Systems 124
- Computational Theory and Mathematics 39
- Genetics 44
Countries citing papers authored by Raphaël Bolze
This map shows the geographic impact of Raphaël Bolze'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 Raphaël Bolze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Bolze more than expected).
Fields of papers citing papers by Raphaël Bolze
This network shows the impact of papers produced by Raphaël Bolze. 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 Raphaël Bolze. The network helps show where Raphaël Bolze may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Bolze, 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 | Grid'5000: A Large Scale And Highly Reconfigurable Experimental Grid Testbed Hit paper breakdown → | 2006 | 365 |
| 2 | 2010 | 53 | |
| 3 | 2010 | 18 | |
| 4 | 2009 | 11 | |
| 5 | 2010 | 7 | |
| 6 | 2006 | 5 | |
| 7 | 2007 | 5 | |
| 8 | 2007 | 4 | |
| 9 | 2008 | 4 | |
| 10 | 2006 | 3 | |
| 11 | 2010 | 1 |
About Raphaël Bolze
Raphaël Bolze is a scholar working on Computer Networks and Communications, Genetics, Information Systems and Management, Molecular Biology and Information Systems, having authored 11 papers that have together received 476 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (8 papers), Bioinformatics and Genomic Networks (2 papers), Genetic Associations and Epidemiology (2 papers), Cloud Computing and Resource Management (1 paper), Protein Structure and Dynamics (1 paper), Scientific Computing and Data Management (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Computer Networks and Communications (221 citations), Hardware and Architecture (72 citations), Information Systems (124 citations), Computational Theory and Mathematics (39 citations) and Genetics (44 citations). Raphaël Bolze has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Frédéric Desprez, Eddy Caron A, Benjamin Quétier, Franck Cappello, Raymond Namyst D, Julien Leduc, Olivier Richard, Yvon Jégou, Stéphane Lanteri and El‐Ghazali Talbi. Their work appears in journals such as Nucleic Acids Research, The International Journal of High Performance Computing Applications, Bioinformatics, Journal of Grid Computing and Lecture notes in computer science.
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.