Jan Stiborek

1.1k total citations · 1 hit paper
8 papers, 646 citations indexed

About

Jan Stiborek is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, Jan Stiborek has authored 8 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Signal Processing and 3 papers in Information Systems. Recurrent topics in Jan Stiborek's work include Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (5 papers) and Complex Network Analysis Techniques (2 papers). Jan Stiborek is often cited by papers focused on Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (5 papers) and Complex Network Analysis Techniques (2 papers). Jan Stiborek collaborates with scholars based in Czechia, Luxembourg and Nigeria. Jan Stiborek's co-authors include Martin Grill, Sebastián García, Alejandro Zunino, Martin Řehák, Michal Pěchouček, Pavel Čeleda, Tomáš Pevný and Thomas Engel and has published in prestigious journals such as Computers & Security, IEEE Intelligent Systems and Adaptive Agents and Multi-Agents Systems.

In The Last Decade

Jan Stiborek

8 papers receiving 610 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An empirical comparison of botnet detection methods

2014 584 citations Sebastián García, Martin Grill et al. Computers & Security profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jan Stiborek Czechia	4	591	490	352	108	34	8	646
Bassam Sayed Canada	4	421 0.7×	367 0.7×	326 0.9×	125 1.2×	22 0.6×	5	505
Daniel Wyschogrod United States	4	565 1.0×	464 0.9×	281 0.8×	109 1.0×	33 1.0×	8	628
Xinzhou Qin United States	6	345 0.6×	218 0.4×	191 0.5×	128 1.2×	25 0.7×	7	377
Darrell Kindred United States	7	425 0.7×	330 0.7×	153 0.4×	70 0.6×	29 0.9×	9	458
Jungsuk Song South Korea	8	437 0.7×	348 0.7×	238 0.7×	76 0.7×	23 0.7×	25	473
Chenfeng Zhou Australia	7	379 0.6×	228 0.5×	203 0.6×	127 1.2×	29 0.9×	12	426
Rick Hofstede Netherlands	11	545 0.9×	388 0.8×	187 0.5×	119 1.1×	34 1.0×	19	605
Zied Elouedi Tunisia	5	251 0.4×	275 0.6×	119 0.3×	75 0.7×	19 0.6×	10	378
Amine Boukhtouta Canada	12	389 0.7×	232 0.5×	254 0.7×	151 1.4×	35 1.0×	18	447

Countries citing papers authored by Jan Stiborek

Since Specialization

Citations

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

Fields of papers citing papers by Jan Stiborek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Stiborek

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Stiborek, Jan, Tomáš Pevný, & Martin Řehák. (2018). Probabilistic analysis of dynamic malware traces. Computers & Security. 74. 221–239. 14 indexed citations

2.

Řehák, Martin, et al.. (2016). Using Behavioral Similarity for Botnet Command-and-Control Discovery. IEEE Intelligent Systems. 31(5). 16–22. 2 indexed citations

3.

García, Sebastián, Martin Grill, Jan Stiborek, & Alejandro Zunino. (2014). An empirical comparison of botnet detection methods. Computers & Security. 45. 100–123. 584 indexed citations breakdown →

4.

Řehák, Martin, Jan Stiborek, & Martin Grill. (2011). Intelligence, not integration: Distributed regret minimization for IDS Control. 217–224. 1 indexed citations

5.

Grill, Martin, et al.. (2011). On the Value of Coordination in Distributed Self-Adaptation of Intrusion Detection System. 196–203. 1 indexed citations

6.

Řehák, Martin, et al.. (2009). Dynamic information source selection for intrusion detection systems. Adaptive Agents and Multi-Agents Systems. 74(2-4). 1009–1016. 8 indexed citations

7.

Řehák, Martin, et al.. (2009). Adaptive Multiagent System for Network Traffic Monitoring. IEEE Intelligent Systems. 24(3). 16–25. 34 indexed citations

8.

Řehák, Martin, et al.. (2009). Threat-model-driven runtime adaptation and evaluation of intrusion detection system. 65–66. 2 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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