Jan Vykopal
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Online Learning and Analytics
Papers in
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- Network Security and Intrusion Detection 27
- Software System Performance and Reliability 8
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- Information and Cyber Security 15
- Co-authors
- Pavel Čeleda (22 shared papers)Valdemar Švábenský (16 shared papers)Daniel Tovarňák (6 shared papers)Martin Drašar (5 shared papers)Martin Husák (3 shared papers)Miloš Barták (1 shared paper)Petr Velan (1 shared paper)Milan Čermák (1 shared paper)
- Journals
- Education and Information Technologies (3 papers)Computers & Security (2 papers)Data in Brief (2 papers)IEEE Transactions on Learning Technologies (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)
- Partner nations
- CzechiaUnited StatesSingapore
In The Last Decade
Jan Vykopal
44 papers receiving 470 citations
Peers
Comparison fields: 5 of 44
- Signal Processing 147
- Computer Science Applications 68
- Computer Networks and Communications 272
- Information Systems 238
- Artificial Intelligence 145
Countries citing papers authored by Jan Vykopal
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
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-authors
The 17 scholars most cited alongside Jan Vykopal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 58 | |
| 2 | 2020 | 49 | |
| 3 | 2017 | 48 | |
| 4 | 2021 | 29 | |
| 5 | 2009 | 24 | |
| 6 | 2014 | 18 | |
| 7 | 2010 | 18 | |
| 8 | 2009 | 16 | |
| 9 | 2022 | 13 | |
| 10 | On the Design of Security Games: From Frustrating to Engaging Learning | 2016 | 13 |
| 11 | 2022 | 13 | |
| 12 | 2017 | 13 | |
| 13 | KYPO – A Platform for Cyber Defence Exercises | 2015 | 13 |
| 14 | 2015 | 13 | |
| 15 | 2014 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 9 |
About Jan Vykopal
Jan Vykopal is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 47 papers that have together received 497 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (27 papers), Information and Cyber Security (15 papers), Advanced Malware Detection Techniques (13 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Software System Performance and Reliability (8 papers), Online Learning and Analytics (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Experimental Learning in Engineering (5 papers). The work is most often cited by research in Signal Processing (147 citations), Computer Science Applications (68 citations), Computer Networks and Communications (272 citations), Information Systems (238 citations) and Artificial Intelligence (145 citations). Jan Vykopal has collaborated with scholars based in Czechia, United States and Singapore. Frequent co-authors include Pavel Čeleda, Valdemar Švábenský, Daniel Tovarňák, Martin Drašar, Martin Husák, Miloš Barták, Petr Velan, Milan Čermák, Philipp Winter and Yasuo Tan. Their work appears in journals such as Education and Information Technologies, Computers & Security, Data in Brief, IEEE Transactions on Learning Technologies and IEEE Transactions on Visualization and Computer Graphics.
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.