Eva Chovancová

2.4k total citations · 1 hit paper
56 papers, 1.8k citations indexed

About

Eva Chovancová is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eva Chovancová has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 11 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eva Chovancová's work include Network Security and Intrusion Detection (14 papers), Advanced Malware Detection Techniques (10 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Eva Chovancová is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Advanced Malware Detection Techniques (10 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). Eva Chovancová collaborates with scholars based in Slovakia, Czechia and Pakistan. Eva Chovancová's co-authors include Jiřı́ Damborský, Antonín Pavelka, Jan Brezovský, Artur Góra, Lada Biedermannová, Vilém Šustr, Jiří Sochor, Petr Beneš, Barbora Kozlíková and Ondřej Strnad and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Eva Chovancová

51 papers receiving 1.7k 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.

CAVER 3.0: A Tool for the Analysis of Transport Pathways in Dynamic Protein Structures

2012 1.0k citations Eva Chovancová, Antonín Pavelka et al. PLoS Computational Biology profile →

Peers

Eva Chovancová

MB

MC

POLLU

CTM

BE

Junjun Liu China

Barbora Kozlíková Czechia

Tian Xie China

Yufeng Liu China

Artur Góra Poland

Juhan Kim South Korea

Thomas Wiese United States

Yasubumi Sakakibara Japan

Shu‐Yu Lin Taiwan

Hongwu Ma China

Junjun Liu China

Eva Chovancová

2.3k ×1.9

MB

226 ×0.7

MC

58 ×0.4

POLLU

347 ×2.5

CTM

168 ×1.3

BE

Citations per year, relative to Eva Chovancová Eva Chovancová (= 1×) peers Junjun Liu

Countries citing papers authored by Eva Chovancová

Since Specialization

Citations

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

Fields of papers citing papers by Eva Chovancová

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Chovancová

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

All Works

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20 of 20 papers shown

1.

Chovancová, Eva, et al.. (2025). Application of Machine Learning Algorithms for Cybersecurity: Detection and Classification of Malware, DDoS, and Phishing Attacks. 353–358.

2.

Chovancová, Eva, et al.. (2024). A Centralized Approach to Intrusion Detection System Management: Design, Implementation and Evaluation. Acta Polytechnica Hungarica. 22(1). 7–26.

3.

Chovancová, Eva, et al.. (2023). Decentralized Social Network. 12. 193–198. 1 indexed citations

4.

Ádám, Norbert, et al.. (2023). Using modern hardware and software solutions for mass casualty incident management. 183–188.

5.

Chovancová, Eva, et al.. (2022). Using Machine Learning Algorithms to Detect Malware by Applying Static and Dynamic Analysis Methods. Acta Polytechnica Hungarica. 19(7). 177–196. 5 indexed citations

6.

Chovancová, Eva, et al.. (2021). Emotion Detection as a Supportive Tool in Color Therapy. 287–292.

7.

Chovancová, Eva & Norbert Ádám. (2019). The Security of Heterogeneous Systems based on Cluster High-interaction Hybrid Honeypot. 81–86. 3 indexed citations

8.

Chovancová, Eva, et al.. (2019). Highly Interactive Hybrid Honeypot. 10. 33–38. 1 indexed citations

9.

Chovancová, Eva, et al.. (2018). Abstraction-enriched Formal Methods Integration. Acta Polytechnica Hungarica. 15(7). 179–200. 1 indexed citations

10.

Chovancová, Eva, et al.. (2017). Securing Distributed Computer Systems Using an Advanced Sophisticated Hybrid Honeypot Technology. Computing and Informatics. 36(1). 113–139. 18 indexed citations

11.

Chovancová, Eva, et al.. (2015). Cloud computing system for small and medium corporations. 14. 171–174. 5 indexed citations

12.

Vokorokos, Liberios, et al.. (2013). A Multicore Architecture Focused on Accelerating Computer Vision Computations. Acta Polytechnica Hungarica. 10(5). 14 indexed citations

13.

Vokorokos, Liberios & Eva Chovancová. (2013). Acceleration based on multicore architecture. RePEc: Research Papers in Economics. 2(1). 79–90. 1 indexed citations

14.

Biedermannová, Lada, Zbyněk Prokop, Artur Góra, et al.. (2012). A Single Mutation in a Tunnel to the Active Site Changes the Mechanism and Kinetics of Product Release in Haloalkane Dehalogenase LinB. Journal of Biological Chemistry. 287(34). 29062–29074. 63 indexed citations

15.

Brezovský, Jan, Eva Chovancová, Artur Góra, et al.. (2012). Software tools for identification, visualization and analysis of protein tunnels and channels. Biotechnology Advances. 31(1). 38–49. 68 indexed citations

16.

Chovancová, Eva, Antonín Pavelka, Petr Beneš, et al.. (2012). CAVER 3.0: A Tool for the Analysis of Transport Pathways in Dynamic Protein Structures. PLoS Computational Biology. 8(10). e1002708–e1002708. 1032 indexed citations breakdown →

17.

Mann, Benjamin F., Lukáš Červený, William R. Alley, et al.. (2012). Characterization of Protein Glycosylation in Francisellatularensis subsp. holarctica. 11(7). 2 indexed citations

18.

Koudeláková, Táňa, Eva Chovancová, Jan Brezovský, et al.. (2011). Substrate specificity of haloalkane dehalogenases. Biochemical Journal. 435(2). 345–354. 86 indexed citations

19.

Pavelka, Antonín, Eva Chovancová, & Jiřı́ Damborský. (2009). HotSpot Wizard: a web server for identification of hot spots in protein engineering. Nucleic Acids Research. 37(Web Server). W376–W383. 154 indexed citations

20.

Chovancová, Eva, Jan Kosiński, Janusz M. Bujnicki, & Jiřı́ Damborský. (2007). Phylogenetic analysis of haloalkane dehalogenases. Proteins Structure Function and Bioinformatics. 67(2). 305–316. 75 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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