Julien Stainer

1.2k citations
8 papers · 608 · 1 hit paper · h-index 4

Impact in

    • Privacy-Preserving Technologies in Data
    • Adversarial Robustness in Machine Learning
    • Cryptography and Data Security
    • Stochastic Gradient Optimization Techniques
    • Internet Traffic Analysis and Secure E-voting
    • Anomaly Detection Techniques and Applications
    • Network Security and Intrusion Detection

Papers in

Julien Stainer

8 papers receiving 590 citations

Julien Stainer's Hit Papers

Machine learning with adversaries: byzantine tolerant gradient descent 2017 · 582 citations
5820+3+6Years since publication100200300400500

Peers

Julien Stainer
Comparison fields: 5 of 43
  • Artificial Intelligence 552
  • Computer Networks and Communications 135
  • Health Informatics 7
  • Computer Science Applications 27
  • Information Systems 85
Replace Peva Blanchard with:
Peva Blanchard Switzerland
Anit Kumar Sahu United States
Geetha Jagannathan United States
Zhuoran Ma China
Borja Balle United Kingdom
Yangyu Tao China
Jamie Hayes United Kingdom
Konstantinos Chatzikokolakis France
Hua Deng China
Julien Stainer relative to Peva Blanchard Switzerland Peva Blanchard's profile →
Citations per field
00.5×1.5×
Peva Blanchard · 1×
Citations per year

Countries citing papers authored by Julien Stainer

Since Specialization
Citations

This map shows the geographic impact of Julien Stainer'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 Julien Stainer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Stainer more than expected).

Fields of papers citing papers by Julien Stainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julien Stainer. 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 Julien Stainer. The network helps show where Julien Stainer may publish in the future.

Co-authors

The 12 scholars most cited alongside Julien Stainer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julien Stainer Line = papers co-authored together Julien Stainer links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown

About Julien Stainer

Julien Stainer is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 608 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (5 papers), Parallel Computing and Optimization Techniques (3 papers), Optimization and Search Problems (3 papers), Age of Information Optimization (3 papers), Privacy-Preserving Technologies in Data (1 paper), Advanced Data Storage Technologies (1 paper), Stochastic Gradient Optimization Techniques (1 paper) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (552 citations), Computer Networks and Communications (135 citations), Health Informatics (7 citations), Computer Science Applications (27 citations) and Information Systems (85 citations). Julien Stainer has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Rachid Guerraoui, Peva Blanchard, El Mahdi El Mhamdi, Michel Raynal, Sergio Rajsbaum, Gadi Taubenfeld, Maurice Herlihy, Arnaud Jégou, Weigang Wu and Damien Imbs. Their work appears in journals such as Theoretical Computer Science, Distributed Computing, Algorithmica, Journal of Parallel and Distributed Computing and HAL (Le Centre pour la Communication Scientifique Directe).

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.

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