Marc Daciér

4.0k total citations
57 papers, 2.0k citations indexed

About

Marc Daciér is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marc Daciér has authored 57 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Networks and Communications, 30 papers in Signal Processing and 24 papers in Artificial Intelligence. Recurrent topics in Marc Daciér's work include Network Security and Intrusion Detection (40 papers), Advanced Malware Detection Techniques (28 papers) and Internet Traffic Analysis and Secure E-voting (14 papers). Marc Daciér is often cited by papers focused on Network Security and Intrusion Detection (40 papers), Advanced Malware Detection Techniques (28 papers) and Internet Traffic Analysis and Secure E-voting (14 papers). Marc Daciér collaborates with scholars based in France, United States and Saudi Arabia. Marc Daciér's co-authors include Hervé Debar, Andreas Wespi, Klaus Julisch, Olivier Thonnard, Corrado Leita, Yury Zhauniarovich, Ting Yu, Issa Khalil, Fabien Pouget and Frank Kargl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and ACM Computing Surveys.

In The Last Decade

Marc Daciér

51 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marc Daciér	1.7k	1.1k	914	664	143	57	2.0k
Hervé Debar	1.7k 1.0×	1.1k 1.0×	955 1.0×	610 0.9×	130 0.9×	52	2.0k
Joshua Haines	1.9k 1.2×	1.1k 1.0×	1.0k 1.1×	912 1.4×	219 1.5×	14	2.2k
Vinod Yegneswaran	3.5k 2.1×	2.0k 1.9×	1.5k 1.7×	880 1.3×	209 1.5×	79	3.9k
David Dagon	2.3k 1.4×	1.7k 1.6×	1.4k 1.5×	1.1k 1.6×	121 0.8×	38	2.6k
Frédéric Cuppens	929 0.6×	724 0.7×	457 0.5×	543 0.8×	104 0.7×	92	1.4k
Roberto Perdisci	3.3k 2.0×	2.6k 2.5×	2.3k 2.5×	1.6k 2.4×	146 1.0×	68	4.0k
Robin Sommer	2.0k 1.2×	1.5k 1.4×	879 1.0×	473 0.7×	478 3.3×	48	2.4k
Carol Fung	1.2k 0.7×	656 0.6×	369 0.4×	424 0.6×	28 0.2×	109	1.6k
Kui W. Mok	1.0k 0.6×	921 0.9×	492 0.5×	327 0.5×	118 0.8×	11	1.3k
Seungwon Shin	2.6k 1.6×	1.2k 1.1×	646 0.7×	624 0.9×	117 0.8×	98	2.9k

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-authorship network of co-authors of Marc Daciér

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Daciér. A scholar is included among the top collaborators of Marc Daciér based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Daciér. Marc Daciér is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Daciér, Marc, et al.. (2025). ENDEMIC: End-to-End Network Disruptions – Examining Middleboxes, Issues, and Countermeasures – A Survey. ACM Computing Surveys. 57(7). 1–42.

Daciér, Marc, et al.. (2023). Towards Detecting and Geolocalizing Web Scrapers with Round Trip Time Measurements. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 1–4. 2 indexed citations

Daciér, Marc, et al.. (2022). ImMuNE: Improved Multilateration in Noisy Environments. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 7. 1–6. 3 indexed citations

Daciér, Marc, et al.. (2022). NoPASARAN: a Novel Platform for Analysing Semi-Active elements in Routes Across a Network. SHILAP Revista de lepidopterología. 1(1). 1–25.

Daciér, Marc, et al.. (2021). <i>Inmap-t</i>: Leveraging TTCN-3 to Test the Security Impact of Intra Network Elements. Journal of Computer and Communications. 9(6). 174–190. 3 indexed citations

Zhauniarovich, Yury, Issa Khalil, Ting Yu, & Marc Daciér. (2018). A Survey on Malicious Domains Detection through DNS Data Analysis. ACM Computing Surveys. 51(4). 1–36. 119 indexed citations

Daciér, Marc, Michael Bailey, Michalis Polychronakis, & Manos Antonakakis. (2017). Research in attacks, intrusions, and defenses : 20th international symposium, RAID 2017, Atlanta, GA, USA, September 18-20, 2017, proceedings. CERN Document Server (European Organization for Nuclear Research). 5 indexed citations

Daciér, Marc, et al.. (2017). Security Challenges and Opportunities of Software-Defined Networking. IEEE Security & Privacy. 15(2). 96–100. 66 indexed citations

Kwon, Albert, Mashael AlSabah, David Lazar, Marc Daciér, & Srinivas Devadas. (2015). Circuit fingerprinting attacks: passive deanonymization of tor hidden services. USENIX Security Symposium. 287–302. 65 indexed citations

10.

Vervier, Pierre‐Antoine, Olivier Thonnard, & Marc Daciér. (2015). Mind Your Blocks: On the Stealthiness of Malicious BGP Hijacks. 53 indexed citations

11.

Cova, Marco, Corrado Leita, Olivier Thonnard, Angelos D. Keromytis, & Marc Daciér. (2009). Gone Rogue: An Analysis of Rogue Security Software Campaigns. Columbia Academic Commons (Columbia University). 1–3. 1 indexed citations

12.

Clark, Andrew E., et al.. (2006). Internet Attack Knowledge Discovery Via Clusters and Cliques of Attack Traces. 3 indexed citations

13.

Leita, Corrado, et al.. (2006). ScriptGen: an automated script generation tool for honeyd. 203–214. 106 indexed citations

14.

Powell, David, Christian Cachin, Sadie Creese, et al.. (2001). MAFTIA (Malicious− and Accidental− Fault Tolerance for Internet Applications. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 13 indexed citations

15.

Powell, David, RJ Stroud, Christian Cachin, et al.. (2001). Conceptual Model and Architecture. 3 indexed citations

16.

Cachin, Christian, et al.. (2001). Malicious- and Accidental-Fault Tolerance for Internet Applications -- Towards a Taxonomy of Intrusion Detection Systems and Attacks.

17.

Almgren, Magnus, Hervé Debar, & Marc Daciér. (2000). A Lightweight Tool for Detecting Web Server Attacks.. Network and Distributed System Security Symposium. 51 indexed citations

18.

Wespi, Andreas, Hervé Debar, Marc Daciér, & M. Nassehi. (2000). Fixed- vs. variable-length patterns for detecting suspicious process behavior. Journal of Computer Security. 8(2-3). 159–181. 15 indexed citations

19.

Daciér, Marc, et al.. (1999). Intrusion Detection Mechanism to Detect Reachability Attacks in PNNI Networks.. 2 indexed citations

20.

Debar, Hervé, Marc Daciér, & Andreas Wespi. (1999). Towards a taxonomy of intrusion-detection systems. Computer Networks. 31(8). 805–822. 485 indexed citations

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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