Tomáš Jirsík
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Pavel ČeledaMartin HusákMilan ČermákPetr VelanShanchieh Jay YangDaniel TovarňákMartin DrašarJan Vykopal
- Topics
- Network Security and Intrusion Detection (16 papers)Internet Traffic Analysis and Secure E-voting (13 papers)Network Traffic and Congestion Control (5 papers)
- Journals
- IEEE Communications MagazineComputer NetworksIEEE Transactions on Network and Service Management
- Partner nations
- CzechiaUnited States
In The Last Decade
Tomáš Jirsík
22 papers receiving 214 citations
Peers
Comparison fields: 5 of 29
- Computer Networks and Communications 189
- Artificial Intelligence 137
- Signal Processing 95
- Information Systems 72
- Computer Vision and Pattern Recognition 16
Countries citing papers authored by Tomáš Jirsík
This map shows the geographic impact of Tomáš Jirsík'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 Tomáš Jirsík with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Jirsík more than expected).
Fields of papers citing papers by Tomáš Jirsík
This network shows the impact of papers produced by Tomáš Jirsík. 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 Tomáš Jirsík. The network helps show where Tomáš Jirsík may publish in the future.
Co-authorship network of co-authors of Tomáš Jirsík
This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Jirsík. A scholar is included among the top collaborators of Tomáš Jirsík 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 Tomáš Jirsík. Tomáš Jirsík is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | Quality of Service Forecasting with LSTM Neural Network | 7 |
| 7 | Real-time Pattern Detection in IP Flow Data using Apache Spark | 1 |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 26 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 53 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 8 | |
| 18 | 13 | |
| 19 | 6 | |
| 20 | Time Series Solver | 1 |
About Tomáš Jirsík
Tomáš Jirsík is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 23 papers that have together received 226 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (16 papers), Internet Traffic Analysis and Secure E-voting (13 papers) and Network Traffic and Congestion Control (5 papers). The work is most often cited by research in Signal Processing (95 citations), Computer Networks and Communications (189 citations) and Artificial Intelligence (137 citations). Tomáš Jirsík has collaborated with scholars based in Czechia and United States. Frequent co-authors include Pavel Čeleda, Martin Husák, Milan Čermák, Petr Velan, Shanchieh Jay Yang, Daniel Tovarňák, Martin Drašar and Jan Vykopal. Their work appears in journals such as IEEE Communications Magazine, Computer Networks and IEEE Transactions on Network and Service Management.
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.