Éric Filiol

1.7k citations
66 papers · 1.2k · h-index 19

Impact in

Papers in

Éric Filiol

59 papers receiving 1.1k citations

Peers

Éric Filiol
Comparison fields: 5 of 61
  • Signal Processing 757
  • Software 134
  • Computer Networks and Communications 688
  • Information Systems 491
  • Artificial Intelligence 574
Replace Svein J. Knapskog with:
Svein J. Knapskog Norway
Danilo Bruschi Italy
Ricardo Dahab Brazil
Eric Rescorla United States
Rudolf Bayer Germany
Shanqing Guo China
Christopher Jefferson United Kingdom
N. Roussopoulos United States
Vinod Ganapathy United States
Wajih Ul Hassan United States
Éric Filiol relative to Svein J. Knapskog Norway Svein J. Knapskog's profile →
Citations per field
00.5×2×3×4.3×
Svein J. Knapskog · 1×
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 16 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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008172
2 1998102
3 201893
4 200583
5 200671
6 201363
7 200248
8 200645
9 200745
10 200640
11 200736
12 201632
13 200631
14 199729
15
Strong Cryptography Armoured Computer Viruses Forbidding Code Analysis: the Bradley Virus 1
200426
16
Combinatorial Optimisation of Worm Propagation on an Unknown Network
200725
17 200923
18 201423
19 200721
20 202018

About Éric Filiol

Éric Filiol is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (32 papers), Network Security and Intrusion Detection (23 papers), Cryptographic Implementations and Security (18 papers), Coding theory and cryptography (17 papers), Chaos-based Image/Signal Encryption (14 papers), Algorithms and Data Compression (8 papers), Spam and Phishing Detection (8 papers) and Software Testing and Debugging Techniques (5 papers). The work is most often cited by research in Signal Processing (757 citations), Software (134 citations), Computer Networks and Communications (688 citations), Information Systems (491 citations) and Artificial Intelligence (574 citations). Éric Filiol has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Grégoire Jacob, Hervé Debar, Caroline Fontaine, Maroun Chamoun, Thomas H. Austin, Mark Stamp, Stefano Zanero, Anne Canteaut, Guillaume Roblot and Francesco Mercaldo. Their work appears in journals such as Journal of Computer Virology and Hacking Techniques, Future Generation Computer Systems, Lecture notes in computer science, arXiv (Cornell University) and IACR Cryptology ePrint Archive.

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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