Agathe Blaise
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Software System Performance and Reliability
- Software-Defined Networks and 5G
Papers in
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- Network Security and Intrusion Detection 8
- Software-Defined Networks and 5G 2
- Software System Performance and Reliability 1
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- Internet Traffic Analysis and Secure E-voting 4
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Stefano Secci (4 shared papers)Mathieu Bouet (4 shared papers)Vania Conan (4 shared papers)Filippo Rebecchi (2 shared papers)Fabio Massacci (1 shared paper)B. Chandrasekaran (1 shared paper)A.H. Aghvami (1 shared paper)Mihai Carabaș (1 shared paper)
- Journals
- Computer Networks (2 papers)IEEE Transactions on Network and Service Management (1 paper)IEEE Security & Privacy (1 paper)arXiv (Cornell University) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- FranceNetherlandsItaly
In The Last Decade
Agathe Blaise
8 papers receiving 136 citations
Peers
Comparison fields: 5 of 18
- Signal Processing 64
- Computer Networks and Communications 116
- Artificial Intelligence 83
- Information Systems 33
- Hardware and Architecture 4
Countries citing papers authored by Agathe Blaise
This map shows the geographic impact of Agathe Blaise'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 Agathe Blaise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agathe Blaise more than expected).
Fields of papers citing papers by Agathe Blaise
This network shows the impact of papers produced by Agathe Blaise. 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 Agathe Blaise. The network helps show where Agathe Blaise may publish in the future.
Co-authors
The 8 scholars most cited alongside Agathe Blaise, 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 | 2020 | 57 | |
| 2 | 2020 | 25 | |
| 3 | 2021 | 24 | |
| 4 | 2020 | 13 | |
| 5 | 2022 | 12 | |
| 6 | 2018 | 7 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 1 |
About Agathe Blaise
Agathe Blaise is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Hardware and Architecture, having authored 8 papers that have together received 142 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Anomaly Detection Techniques and Applications (4 papers), Software-Defined Networks and 5G (2 papers), Advanced Malware Detection Techniques (2 papers), Software System Performance and Reliability (1 paper), Network Packet Processing and Optimization (1 paper) and Information and Cyber Security (1 paper). The work is most often cited by research in Signal Processing (64 citations), Computer Networks and Communications (116 citations), Artificial Intelligence (83 citations), Information Systems (33 citations) and Hardware and Architecture (4 citations). Agathe Blaise has collaborated with scholars based in France, Netherlands and Italy. Frequent co-authors include Stefano Secci, Mathieu Bouet, Vania Conan, Filippo Rebecchi, Fabio Massacci, B. Chandrasekaran, A.H. Aghvami and Mihai Carabaș. Their work appears in journals such as Computer Networks, IEEE Transactions on Network and Service Management, IEEE Security & Privacy, arXiv (Cornell University) 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.