Sara Bouchenak
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Hardware and Architecture top 10%
- Sociology and Political Science
- Co-authors
- Daniel HagimontNicolas MarchandNoël De PalmaFabienne BoyerAndrea BondavalliHermann KopetzGregory ChocklerSacha Krakowiak
- Topics
- Distributed systems and fault tolerance (16 papers)Cloud Computing and Resource Management (14 papers)Software System Performance and Reliability (12 papers)
- Partner nations
- FranceSwitzerlandNetherlands
In The Last Decade
Sara Bouchenak
49 papers receiving 383 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 263
- Information Systems 227
- Artificial Intelligence 142
- Hardware and Architecture 30
- Sociology and Political Science 24
Countries citing papers authored by Sara Bouchenak
This map shows the geographic impact of Sara Bouchenak'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 Sara Bouchenak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Bouchenak more than expected).
Fields of papers citing papers by Sara Bouchenak
This network shows the impact of papers produced by Sara Bouchenak. 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 Sara Bouchenak. The network helps show where Sara Bouchenak may publish in the future.
Co-authorship network of co-authors of Sara Bouchenak
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Bouchenak. A scholar is included among the top collaborators of Sara Bouchenak 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 Sara Bouchenak. Sara Bouchenak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 11 | |
| 3 | Mitigating Membership Inference Attacks in Federated Learning | 1 |
| 4 | 7 | |
| 5 | 27 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | Autonomic Administration of Clustered J2EE Applications. | 3 |
| 15 | AOP-Based Caching of Dynamic Web Content: Experience with J2EE Applications | 0 |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | Zero Overhead Java Thread Migration | 9 |
| 20 | Making Java applications mobile or persistent | 11 |
About Sara Bouchenak
Sara Bouchenak is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 52 papers that have together received 415 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (16 papers), Cloud Computing and Resource Management (14 papers) and Software System Performance and Reliability (12 papers). The work is most often cited by research in Computer Networks and Communications (263 citations), Information Systems (227 citations) and Hardware and Architecture (30 citations). Sara Bouchenak has collaborated with scholars based in France, Switzerland and Netherlands. Frequent co-authors include Daniel Hagimont, Nicolas Marchand, Noël De Palma, Fabienne Boyer, Andrea Bondavalli, Hermann Kopetz, Gregory Chockler, Sacha Krakowiak, Hana Chockler and Alexander Shraer. Their work appears in journals such as ACM Computing Surveys, IEEE Transactions on Computers and Future Generation Computer Systems.
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.