Martin Drašar
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Pavel ČeledaPetr VelanMilan ČermákJan VykopalMartin HusákPhilipp WinterTomáš JirsíkLuigi V. Mancini
- Topics
- Network Security and Intrusion Detection (12 papers)Advanced Malware Detection Techniques (8 papers)Internet Traffic Analysis and Secure E-voting (5 papers)
- Journals
- Lecture notes in computer scienceInternational Journal of Network ManagementThe Journal of Defense Modeling and Simulation Applications Methodology Technology
- Partner nations
- CzechiaUnited StatesFrance
In The Last Decade
Martin Drašar
15 papers receiving 325 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 292
- Artificial Intelligence 273
- Signal Processing 154
- Information Systems 60
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Martin Drašar
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 12 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Proceedings of the 10th IFIP WG 6.6 International Conference on Management and Security in the Age of Hyperconnectivity - Volume 9701 | 1 |
| 8 | 239 | |
| 9 | 18 | |
| 10 | 13 | |
| 11 | Flow-based Monitoring of Honeypots | 5 |
| 12 | PhiGARo HTTP(S) – tool for phishing incident processing | 1 |
| 13 | Flow-based Brute-force Attack Detection | 8 |
| 14 | PhiGARo – tool for phishing incident processing | 1 |
| 15 | 18 |
About Martin Drašar
Martin Drašar is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 15 papers that have together received 339 indexed citations. Recurring topics across this 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). The work is most often cited by research in Signal Processing (154 citations), Computer Networks and Communications (292 citations) and Artificial Intelligence (273 citations). Martin Drašar has collaborated with scholars based in Czechia, United States and France. Frequent 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. Their work appears in journals such as Lecture notes in computer science, International Journal of Network Management and The Journal of Defense Modeling and Simulation Applications Methodology Technology.
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.