Yann Labit

511 citations
25 papers · 327 · h-index 10

Impact in

Papers in

    • Network Traffic and Congestion Control 11
    • Network Security and Intrusion Detection 10
    • Wireless Networks and Protocols 6
    • Software-Defined Networks and 5G 3
    • Internet Traffic Analysis and Secure E-voting 5
    • Anomaly Detection Techniques and Applications 3

Yann Labit

23 papers receiving 310 citations

Peers

Yann Labit
Comparison fields: 5 of 51
  • Computer Networks and Communications 197
  • Control and Systems Engineering 85
  • Artificial Intelligence 74
  • Hardware and Architecture 15
  • Automotive Engineering 25
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Citations per field
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Citations per year

Countries citing papers authored by Yann Labit

Since Specialization
Citations

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

Fields of papers citing papers by Yann Labit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yann Labit, 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 Yann Labit Line = papers co-authored together Yann Labit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004112
2 200930
3 201122
4 201821
5 201216
6 200915
7 200914
8 201212
9 200612
10 201012
11 20109
12 20229
13 20108
14 20108
15 20096
16 20086
17 20093
18 20073
19
1Network anomaly estimation for TCP/AQM networks using an observer
20152
20 20032

About Yann Labit

Yann Labit is a scholar working on Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, Information Systems and Electrical and Electronic Engineering, having authored 25 papers that have together received 327 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (11 papers), Network Security and Intrusion Detection (10 papers), Wireless Networks and Protocols (6 papers), Internet Traffic Analysis and Secure E-voting (5 papers), Anomaly Detection Techniques and Applications (3 papers), Cloud Computing and Resource Management (3 papers), Software-Defined Networks and 5G (3 papers) and Stability and Control of Uncertain Systems (2 papers). The work is most often cited by research in Computer Networks and Communications (197 citations), Control and Systems Engineering (85 citations), Artificial Intelligence (74 citations), Hardware and Architecture (15 citations) and Automotive Engineering (25 citations). Yann Labit has collaborated with scholars based in France, Sweden and Spain. Frequent co-authors include Didier Henrion, Dimitri Peaucelle, Frédéric Gouaisbaut, Philippe Owezarski, Yassine Ariba, Johan Mazel, Pedro Casas, Thierry Floquet, Nicolas Larrieu and Thierry Monteil. Their work appears in journals such as IEEE Transactions on Network and Service Management, Computer Networks, Simulation Modelling Practice and Theory, IET Control Theory and Applications and IEEE Transactions on Control Systems Technology.

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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