Éric Filiol

1.7k citations
45 papers · 770 · h-index 16

Impact in

Papers in

Éric Filiol

42 papers receiving 681 citations

Peers

Éric Filiol
Comparison fields: 5 of 55
  • Signal Processing 568
  • Software 102
  • Computer Networks and Communications 504
  • Information Systems 371
  • Artificial Intelligence 277
Replace Wajih Ul Hassan with:
Wajih Ul Hassan United States
James Mickens United States
Shanqing Guo China
Kangkook Jee United States
Yonghwi Kwon United States
Xiaokui Shu United States
Jasvir Nagra United States
Yves Deswarte France
Purui Su China
Johanna Amann United States
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Citations per field
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Citations per year

Countries citing papers authored by Éric Filiol

Since Specialization
Citations

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

Fields of papers citing papers by Éric Filiol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Éric Filiol, 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 Éric Filiol Line = papers co-authored together Éric Filiol links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008149
2 201874
3 200567
4 200661
5 201352
6 200636
7 200736
8 200630
9 201627
10 200727
11 200624
12
Strong Cryptography Armoured Computer Viruses Forbidding Code Analysis: the Bradley Virus 1
200422
13 201421
14
Combinatorial Optimisation of Worm Propagation on an Unknown Network
200717
15 202015
16 201715
17 202111
18 200710
19 20099
20 20178

About Éric Filiol

Éric Filiol is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 770 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (26 papers), Network Security and Intrusion Detection (20 papers), Spam and Phishing Detection (7 papers), Cryptographic Implementations and Security (7 papers), Algorithms and Data Compression (6 papers), Coding theory and cryptography (6 papers), Blockchain Technology Applications and Security (4 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Signal Processing (568 citations), Software (102 citations), Computer Networks and Communications (504 citations), Information Systems (371 citations) and Artificial Intelligence (277 citations). Éric Filiol has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Grégoire Jacob, Hervé Debar, Maroun Chamoun, Thomas H. Austin, Mark Stamp, Stefano Zanero, Antonella Santone, Francesco Mercaldo, Guillaume Roblot and Ludovic Mé. Their work appears in journals such as Journal of Computer Virology and Hacking Techniques, Future Generation Computer Systems, IEEE Conference Proceedings, HAL (Le Centre pour la Communication Scientifique Directe) and Procedia Computer Science.

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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