Marc Daciér

4.0k citations
57 papers · 2.0k · h-index 20

Impact in

Papers in

Marc Daciér

51 papers receiving 1.7k citations

Peers

Marc Daciér
Comparison fields: 5 of 67
  • Signal Processing 914
  • Computer Networks and Communications 1.7k
  • Artificial Intelligence 1.1k
  • Information Systems 664
  • Hardware and Architecture 143
Replace Joshua Haines with:
Joshua Haines United States
Hervé Debar France
Vinod Yegneswaran United States
David Dagon United States
Frédéric Cuppens France
Roberto Perdisci United States
Seungwon Shin South Korea
Robin Sommer United States
Manos Antonakakis United States
Carol Fung United States
Marc Daciér relative to Joshua Haines United States Joshua Haines's profile →
Citations per field
00.5×1.6×
Joshua Haines · 1×
Citations per year

Countries citing papers authored by Marc Daciér

Since Specialization
Citations

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

Fields of papers citing papers by Marc Daciér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999485
2 2000227
3 2002166
4 2018119
5 2006106
6 200282
7 201766
8
Circuit fingerprinting attacks: passive deanonymization of tor hidden services
201565
9 200861
10
Quantitative Assessment of Operational Security: Models and Tools *
199659
11 201553
12
A Lightweight Tool for Detecting Web Server Attacks.
200051
13
An Intrusion-Detection System Based on the Teiresias Pattern- Discovery Algorithm
199940
14 201433
15 200827
16 200827
17 201126
18 201724
19 201023
20 200423

About Marc Daciér

Marc Daciér is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Biomedical Engineering, having authored 57 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 (28 papers), Internet Traffic Analysis and Secure E-voting (14 papers), Spam and Phishing Detection (9 papers), Information and Cyber Security (8 papers), Anomaly Detection Techniques and Applications (6 papers), Security and Verification in Computing (5 papers) and Distributed systems and fault tolerance (3 papers). The work is most often cited by research in Signal Processing (914 citations), Computer Networks and Communications (1.7k citations), Artificial Intelligence (1.1k citations), Information Systems (664 citations) and Hardware and Architecture (143 citations). Marc Daciér has collaborated with scholars based in France, United States and Saudi Arabia. Frequent co-authors include Hervé Debar, Andreas Wespi, Klaus Julisch, Olivier Thonnard, Corrado Leita, Yury Zhauniarovich, Issa Khalil, Ting Yu, Fabien Pouget and Frank Kargl. Their work appears in journals such as ACM Computing Surveys, Computer Networks, IEEE Security & Privacy, Communications of the ACM 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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