Tomáš Čejka

717 total citations
42 papers, 288 citations indexed

About

Tomáš Čejka is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tomáš Čejka has authored 42 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Networks and Communications, 32 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Tomáš Čejka's work include Network Security and Intrusion Detection (32 papers), Internet Traffic Analysis and Secure E-voting (26 papers) and Anomaly Detection Techniques and Applications (7 papers). Tomáš Čejka is often cited by papers focused on Network Security and Intrusion Detection (32 papers), Internet Traffic Analysis and Secure E-voting (26 papers) and Anomaly Detection Techniques and Applications (7 papers). Tomáš Čejka collaborates with scholars based in Czechia, Slovakia and Hungary. Tomáš Čejka's co-authors include Karel Hynek, Hana Kubátová, Armin Wasicek, Ondřej Ryšavý, Iveta Škodová, Michal Horsák, Lucie Juřičková, Jana Májeková, Katarína Hegedüšová and Luboš Beran and has published in prestigious journals such as IEEE Access, Forest Ecology and Management and IEEE Internet of Things Journal.

In The Last Decade

Tomáš Čejka

38 papers receiving 277 citations

Peers

Tomáš Čejka
Md Masoom Rabbani Italy
Yuliang Li China
Xavier Carpent United States
Kuobin Dai China
Junzheng Shi China
Amit Praseed India
Victor Heorhiadi United States
Tommy Chin United States
Ramaprabhu Janakiraman United States
Dominik Schatzmann Switzerland
Md Masoom Rabbani Italy
Tomáš Čejka
Citations per year, relative to Tomáš Čejka Tomáš Čejka (= 1×) peers Md Masoom Rabbani

Countries citing papers authored by Tomáš Čejka

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Čejka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Čejka

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Čejka. A scholar is included among the top collaborators of Tomáš Čejka 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 Čejka. Tomáš Čejka 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.
Hynek, Karel, et al.. (2025). CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting. Scientific Data. 12(1). 338–338. 3 indexed citations
2.
Hynek, Karel, et al.. (2024). CESNET-TLS-Year22: A year-spanning TLS network traffic dataset from backbone lines. Scientific Data. 11(1). 1156–1156. 1 indexed citations
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Martínek, Tomáš, Jan Kořenek, & Tomáš Čejka. (2024). LGBM2VHDL: Mapping of LightGBM Models to FPGA. 97–103. 1 indexed citations
6.
7.
Hynek, Karel, et al.. (2023). CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines. Data in Brief. 46. 108888–108888. 19 indexed citations
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Eliáš, Pavol, Jana Májeková, Katarína Hegedüšová, et al.. (2023). New alien vascular plants of Slovakia: records from 2008–2021. BioInvasions Records. 12(1). 1–30. 3 indexed citations
10.
Čejka, Tomáš, et al.. (2023). Active Learning Framework For Long-term Network Traffic Classification. 379. 893–899. 2 indexed citations
11.
Čejka, Tomáš, Katarína Hegedüšová, Jana Májeková, et al.. (2023). Comparison of alien Robinia pseudoacacia stands with native forest stands across different taxonomic groups. Forest Ecology and Management. 548. 121413–121413. 9 indexed citations
12.
Hynek, Karel, et al.. (2022). BOTA: Explainable IoT Malware Detection in Large Networks. IEEE Internet of Things Journal. 10(10). 8416–8431. 8 indexed citations
13.
Hynek, Karel, et al.. (2022). Summary of DNS Over HTTPS Abuse. IEEE Access. 10. 54668–54680. 18 indexed citations
14.
Hynek, Karel, et al.. (2022). Collection of datasets with DNS over HTTPS traffic. Data in Brief. 42. 108310–108310. 13 indexed citations
15.
Hynek, Karel, et al.. (2022). Tunneling through DNS over TLS providers. 359–363. 1 indexed citations
16.
Čejka, Tomáš, et al.. (2018). Augmented DDoS Mitigation with Reputation Scores. 1–7. 3 indexed citations
17.
Čejka, Tomáš, et al.. (2016). NEMEA: A Framework for Network Traffic Analysis. 195–201. 6 indexed citations
18.
Čejka, Tomáš, et al.. (2014). Stream-wise detection of surreptitious traffic over DNS. 99. 300–304. 8 indexed citations
19.
Blažek, Rudolf B., et al.. (2014). Change-point detection method on 100 Gb/s ethernet interface. 245–246. 1 indexed citations
20.
Horsák, Michal, et al.. (2010). Komentovaný seznam měkkýšů zjištěných ve volné přírodě České aSlovenské republiky. 9(1). 1–37. 4 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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