Martin Drašar

602 total citations
15 papers, 339 citations indexed

About

Martin Drašar is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Martin Drašar has authored 15 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 8 papers in Signal Processing and 7 papers in Information Systems. Recurrent topics in Martin Drašar's work include Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (8 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Martin Drašar is often cited by papers focused on Network Security and Intrusion Detection (12 papers), Advanced Malware Detection Techniques (8 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Martin Drašar collaborates with scholars based in Czechia, United States and France. Martin Drašar's co-authors include Pavel Čeleda, Petr Velan, Milan Čermák, Jan Vykopal, Martin Husák, Philipp Winter, Tomáš Jirsík, Luigi V. Mancini, Shanchieh Jay Yang and Krzysztof Rzaḑca and has published in prestigious journals such as Lecture notes in computer science, International Journal of Network Management and The Journal of Defense Modeling and Simulation Applications Methodology Technology.

In The Last Decade

Martin Drašar

15 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Martin Drašar Czechia 7 292 273 154 60 43 15 339
Milan Čermák Czechia 8 344 1.2× 331 1.2× 158 1.0× 80 1.3× 51 1.2× 20 392
Petr Velan Czechia 7 307 1.1× 284 1.0× 138 0.9× 54 0.9× 47 1.1× 24 346
Morteza Safaei Pour United States 10 205 0.7× 138 0.5× 155 1.0× 72 1.2× 26 0.6× 19 282
Zigang Cao China 8 383 1.3× 417 1.5× 199 1.3× 60 1.0× 48 1.1× 14 452
Masashi Eto Japan 7 293 1.0× 233 0.9× 178 1.2× 72 1.2× 19 0.4× 19 327
Yin Minn Pa Pa Japan 3 298 1.0× 195 0.7× 269 1.7× 77 1.3× 17 0.4× 7 361
Hossein Rouhani Zeidanloo Malaysia 8 184 0.6× 151 0.6× 146 0.9× 50 0.8× 44 1.0× 14 248
Markku Antikainen Finland 7 295 1.0× 181 0.7× 132 0.9× 61 1.0× 25 0.6× 11 348
Ali Tekeoglu United States 9 215 0.7× 124 0.5× 175 1.1× 133 2.2× 30 0.7× 34 302
Xuan Dau Hoang Vietnam 7 298 1.0× 230 0.8× 228 1.5× 97 1.6× 15 0.3× 16 355

Countries citing papers authored by Martin Drašar

Since Specialization
Citations

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

Fields of papers citing papers by Martin Drašar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Drašar

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Drašar. A scholar is included among the top collaborators of Martin Drašar 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 Martin Drašar. Martin Drašar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Drašar, Martin, et al.. (2020). Session-level Adversary Intent-Driven Cyberattack Simulator. 1–9. 6 indexed citations
2.
Kott, Alexander, et al.. (2019). An introductory preview of Autonomous Intelligent Cyber-defense Agent reference architecture, release 2.0. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 17(1). 51–54. 8 indexed citations
3.
Kott, Alexander, et al.. (2018). Towards an active, autonomous and intelligent cyber defense of military systems: The NATO AICA reference architecture. IRIS Research product catalog (Sapienza University of Rome). 1–9. 12 indexed citations
4.
Čermák, Milan, et al.. (2018). Towards Provable Network Traffic Measurement and Analysis via Semi-Labeled Trace Datasets. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 1–8. 6 indexed citations
5.
Husák, Martin, et al.. (2017). Network defence strategy evaluation: Simulation vs. live network. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 81–88. 1 indexed citations
6.
Badonnel, Rémi, Robert Koch, Aiko Pras, Martin Drašar, & Burkhard Stiller. (2016). Management and Security in the Age of Hyperconnectivity. Lecture notes in computer science. 2 indexed citations
7.
Badonnel, Rémi, Robert Koch, Aiko Pras, Martin Drašar, & Burkhard Stiller. (2016). Proceedings of the 10th IFIP WG 6.6 International Conference on Management and Security in the Age of Hyperconnectivity - Volume 9701. 1 indexed citations
8.
Velan, Petr, Milan Čermák, Pavel Čeleda, & Martin Drašar. (2015). A survey of methods for encrypted traffic classification and analysis. International Journal of Network Management. 25(5). 355–374. 239 indexed citations
9.
Drašar, Martin, et al.. (2014). Similarity as a central approach to flow‐based anomaly detection. International Journal of Network Management. 24(4). 318–336. 18 indexed citations
10.
Jirsík, Tomáš, et al.. (2014). Cloud-based testbed for simulation of cyber attacks. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 7279. 1–6. 13 indexed citations
11.
Husák, Martin & Martin Drašar. (2013). Flow-based Monitoring of Honeypots. 63–70. 5 indexed citations
12.
Drašar, Martin, et al.. (2013). PhiGARo HTTP(S) – tool for phishing incident processing. 1 indexed citations
13.
Vykopal, Jan, Martin Drašar, & Philipp Winter. (2013). Flow-based Brute-force Attack Detection. 41–51. 8 indexed citations
14.
Drašar, Martin, et al.. (2012). PhiGARo – tool for phishing incident processing. 1 indexed citations
15.
Čeleda, Pavel, et al.. (2010). Embedded Malware - An Analysis of the Chuck Norris Botnet. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 3–10. 18 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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