Hervé Debar

5.9k citations
52 papers · 2.0k indexed · h-index 20

Impact in

Papers in

Hervé Debar

51 papers receiving 1.7k citations

Peers

Hervé Debar
Comparison fields: 5 of 73
  • Signal Processing 955
  • Computer Networks and Communications 1.7k
  • Artificial Intelligence 1.1k
  • Information Systems 610
  • Hardware and Architecture 130
Replace Marc Daciér with:
Marc Daciér France
Joshua Haines United States
Luigi V. Mancini Italy
Jesús E. Dı́az-Verdejo Spain
Sajjan G. Shiva United States
Frédéric Cuppens France
Ulf Lindqvist United States
Andreas Haeberlen United States
Seungwon Shin South Korea
Monowar Bhuyan Sweden
Hervé Debar relative to Marc Daciér France Marc Daciér's profile →
Citations per field
00.5×1.5×
Marc Daciér · 1×
Citations per year

Countries citing papers authored by Hervé Debar

Since Specialization
Citations

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

Fields of papers citing papers by Hervé Debar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 202110
3 202112
4 20199
5 2018111
6 201841
7 201756
8 20177
9 201610
10 20161
11 201317
12
One Year of Internet SSL measurement
20122
13 20121
14 200919
15 200623
16
Correlation of Intrusion Symptoms: an Application of Chronicles
20031
17 200347
18
A Lightweight Tool for Detecting Web Server Attacks.
200051
19 200015
20
Building an Intrusion-Detection System to Detect Suspicious Process Behavior.
19993

About Hervé Debar

Hervé Debar is a scholar working on Signal Processing, Computer Networks and Communications, Information Systems, Software and Artificial Intelligence, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (40 papers), Advanced Malware Detection Techniques (22 papers), Information and Cyber Security (16 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Access Control and Trust (6 papers), Anomaly Detection Techniques and Applications (6 papers), Spam and Phishing Detection (5 papers) and Artificial Immune Systems Applications (4 papers). The work is most often cited by research in Signal Processing (955 citations), Computer Networks and Communications (1.7k citations), Artificial Intelligence (1.1k citations), Information Systems (610 citations) and Hardware and Architecture (130 citations). Hervé Debar has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Marc Daciér, Andreas Wespi, Marco Becker, Grégoire Jacob, Éric Filiol, Grégory Blanc, Zonghua Zhang, Ludovic Mé, Bernadette Dorizzi and Joaquín García-Alfaro. Their work appears in journals such as International Journal of Information Security, Computer Networks, Information Fusion, Computers & Security and Journal of Computer Security.

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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