Sandrine Vaton

1.0k citations
35 papers · 317 indexed · h-index 11

Sandrine Vaton

31 papers receiving 299 citations

Peers

Sandrine Vaton
Comparison fields: 5 of 36
  • Computer Networks and Communications 257
  • Signal Processing 46
  • Artificial Intelligence 116
  • Computational Mathematics 2
  • Management Information Systems 19
Replace Gabriela Ciocarlie with:
Gabriela Ciocarlie United States
Elankayer Sithirasenan Australia
Thomas Locher Switzerland
Sándor Laki Hungary
Svein J. Knapskog Norway
Sophia Petridou Greece
Supratim Deb United States
Mithun Acharya United States
Ilir Gashi United Kingdom
Sandrine Vaton relative to Gabriela Ciocarlie United States Gabriela Ciocarlie's profile →
Citations per field
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Gabriela Ciocarlie · 1×
Citations per year

Countries citing papers authored by Sandrine Vaton

Since Specialization
Citations

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

Fields of papers citing papers by Sandrine Vaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Sandrine Vaton, 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 Sandrine Vaton Line = papers co-authored together Sandrine Vaton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20231
4 20221
5 20211
6 20212
7 20210
8 20196
9 201810
10 201710
11 20163
12 20140
13 20145
14 20130
15 20091
16
Detection-Localisation Sequentielle d'Anomalies Volumiques dans un Reseau de Telecommunications
20071
17 200621
18 200519
19 200326
20 200174

About Sandrine Vaton

Sandrine Vaton is a scholar working on Computational Mathematics, Computer Networks and Communications and Signal Processing, having authored 35 papers that have together received 317 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (12 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (6 papers), Advanced Malware Detection Techniques (4 papers), Caching and Content Delivery (3 papers), Software-Defined Networks and 5G (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (257 citations), Signal Processing (46 citations) and Artificial Intelligence (116 citations). Sandrine Vaton has collaborated with scholars based in France, Uruguay and Italy. Frequent co-authors include Kavé Salamatian, Annie Gravey, Claude Berrou, Osman Salem, Bertrand Mathieu, Jorma Virtamo, Igor V. Nikiforov, Matthieu Arzel, Pedro Casas and Christian Callegari. Their work appears in journals such as IEEE Access, IEEE Communications Magazine and Computer Networks.

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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