Jan Vykopal

1.0k total citations
47 papers, 488 citations indexed

About

Jan Vykopal is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Jan Vykopal has authored 47 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 21 papers in Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Jan Vykopal's work include Network Security and Intrusion Detection (27 papers), Information and Cyber Security (15 papers) and Advanced Malware Detection Techniques (13 papers). Jan Vykopal is often cited by papers focused on Network Security and Intrusion Detection (27 papers), Information and Cyber Security (15 papers) and Advanced Malware Detection Techniques (13 papers). Jan Vykopal collaborates with scholars based in Czechia, United States and Singapore. Jan Vykopal's co-authors include Pavel Čeleda, Valdemar Švábenský, Daniel Tovarňák, Martin Drašar, Martin Husák, Miloš Barták, Petr Velan, Philipp Winter, Milan Čermák and Ee‐Chien Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Visualization and Computer Graphics and Computers & Security.

In The Last Decade

Jan Vykopal

44 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Jan Vykopal 275 236 144 143 68 47 488
Mattia Monga 291 1.1× 350 1.5× 282 2.0× 188 1.3× 124 1.8× 76 727
Cynthia E. Irvine 156 0.6× 299 1.3× 155 1.1× 134 0.9× 30 0.4× 81 518
Ana C. R. Paiva 176 0.6× 372 1.6× 123 0.9× 181 1.3× 43 0.6× 79 659
Terry Benzel 339 1.2× 252 1.1× 152 1.1× 158 1.1× 17 0.3× 34 534
Jens Mache 231 0.8× 164 0.7× 71 0.5× 65 0.5× 51 0.8× 72 384
Paul Strooper 191 0.7× 505 2.1× 232 1.6× 56 0.4× 38 0.6× 108 998
Esko Nuutila 116 0.4× 73 0.3× 132 0.9× 59 0.4× 38 0.6× 20 330
Tanja E. J. Vos 126 0.5× 353 1.5× 96 0.7× 60 0.4× 41 0.6× 77 571
Paolo A. G. Sivilotti 172 0.6× 302 1.3× 238 1.7× 69 0.5× 83 1.2× 30 506
Michael Zhivich 138 0.5× 204 0.9× 197 1.4× 196 1.4× 21 0.3× 10 358

Countries citing papers authored by Jan Vykopal

Since Specialization
Citations

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

Fields of papers citing papers by Jan Vykopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Vykopal

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

All Works

20 of 20 papers shown
1.
Švábenský, Valdemar, Richard Weiss, Ryan S. Baker, et al.. (2024). Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments. 1–9. 1 indexed citations
2.
Švábenský, Valdemar, et al.. (2023). Automated feedback for participants of hands-on cybersecurity training. Education and Information Technologies. 29(9). 11555–11584. 8 indexed citations
3.
Beuran, Răzvan, et al.. (2023). Capability Assessment Methodology and Comparative Analysis of Cybersecurity Training Platforms. Computers & Security. 128. 103120–103120. 10 indexed citations
4.
Vykopal, Jan, et al.. (2022). Smart Environment for Adaptive Learning of Cybersecurity Skills. IEEE Transactions on Learning Technologies. 16(3). 443–456. 13 indexed citations
5.
Švábenský, Valdemar, et al.. (2022). Applications of educational data mining and learning analytics on data from cybersecurity training. Education and Information Technologies. 27(9). 12179–12212. 7 indexed citations
6.
Švábenský, Valdemar, et al.. (2022). Student assessment in cybersecurity training automated by pattern mining and clustering. Education and Information Technologies. 27(7). 9231–9262. 12 indexed citations
7.
Vykopal, Jan, et al.. (2022). Preventing Cheating in Hands-on Lab Assignments. arXiv (Cornell University). 78–84. 1 indexed citations
8.
Švábenský, Valdemar, et al.. (2021). Dataset of shell commands used by participants of hands-on cybersecurity training. SHILAP Revista de lepidopterología. 38. 107398–107398. 10 indexed citations
9.
Švábenský, Valdemar, Jan Vykopal, Daniel Tovarňák, & Pavel Čeleda. (2021). Toolset for Collecting Shell Commands and Its Application in Hands-on Cybersecurity Training. 2021 IEEE Frontiers in Education Conference (FIE). 1–9. 7 indexed citations
10.
Vykopal, Jan, et al.. (2021). Reinforcing Cybersecurity Hands-on Training With Adaptive Learning. 2021 IEEE Frontiers in Education Conference (FIE). 1–9. 7 indexed citations
11.
Švábenský, Valdemar, et al.. (2021). Toward Guidelines for Designing Cybersecurity Serious Games. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 1275–1275. 4 indexed citations
12.
Vykopal, Jan, et al.. (2021). Scalable Learning Environments for Teaching Cybersecurity Hands-on. 2021 IEEE Frontiers in Education Conference (FIE). 1–9. 27 indexed citations
13.
Švábenský, Valdemar, et al.. (2020). Conceptual Model of Visual Analytics for Hands-on Cybersecurity Training. IEEE Transactions on Visualization and Computer Graphics. 27(8). 3425–3437. 12 indexed citations
14.
Švábenský, Valdemar, et al.. (2020). Cybersecurity knowledge and skills taught in capture the flag challenges. Computers & Security. 102. 102154–102154. 49 indexed citations
15.
Tovarňák, Daniel, et al.. (2020). Traffic and log data captured during a cyber defense exercise. SHILAP Revista de lepidopterología. 31. 105784–105784. 10 indexed citations
16.
Vykopal, Jan, et al.. (2018). Evaluation of Cyber Defense Exercises Using Visual Analytics Process. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 7 indexed citations
17.
Vykopal, Jan, et al.. (2017). KYPO Cyber Range: Design and Use Cases. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 310–321. 48 indexed citations
18.
Vykopal, Jan, et al.. (2017). Lessons learned from complex hands-on defence exercises in a cyber range. Veřejné služby Informačního systému (Masarykiana Brunensis Universitas). 1–8. 56 indexed citations
19.
Vykopal, Jan & Miloš Barták. (2016). On the Design of Security Games: From Frustrating to Engaging Learning. USENIX Security Symposium. 13 indexed citations
20.
Vykopal, Jan, et al.. (2009). Improving Host Profiling with Bidirectional Flows. 3954. 231–237. 3 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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