Jiří Šťastný

736 total citations
30 papers, 481 citations indexed

About

Jiří Šťastný is a scholar working on Molecular Biology, Artificial Intelligence and Ecology. According to data from OpenAlex, Jiří Šťastný has authored 30 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Artificial Intelligence and 4 papers in Ecology. Recurrent topics in Jiří Šťastný's work include RNA and protein synthesis mechanisms (8 papers), Neural Networks and Applications (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). Jiří Šťastný is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Neural Networks and Applications (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). Jiří Šťastný collaborates with scholars based in Czechia, France and United Kingdom. Jiří Šťastný's co-authors include Václav Brázda, Jan Kolomazník, Martin Bartas, Jiří Lýsek, Miroslav Fojta, Jean‐Louis Mergny, Jan Coufal, Petr Pečínka, Lucia Hároníková and Oldřich Trenz and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

Jiří Šťastný

25 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiří Šťastný Czechia 10 353 125 98 23 20 30 481
Anna Paola Carrieri United Kingdom 9 230 0.7× 43 0.3× 23 0.2× 32 1.4× 41 2.0× 18 382
Phillip E. C. Compeau United States 6 325 0.9× 51 0.4× 93 0.9× 70 3.0× 96 4.8× 7 445
Matteo Cavaliere Italy 13 443 1.3× 44 0.4× 29 0.3× 95 4.1× 58 2.9× 63 709
Alexey A. Gritsenko Netherlands 6 355 1.0× 36 0.3× 38 0.4× 61 2.7× 20 1.0× 12 433
Giltae Song South Korea 12 264 0.7× 15 0.1× 66 0.7× 61 2.7× 29 1.4× 35 412
Ferhat Alkan Denmark 11 494 1.4× 22 0.2× 29 0.3× 65 2.8× 13 0.7× 18 573
Giacomo Baruzzo Italy 9 359 1.0× 39 0.3× 36 0.4× 27 1.2× 10 0.5× 16 479
Jian-Hu Feng China 11 342 1.0× 73 0.6× 55 0.6× 256 11.1× 7 0.3× 31 606
Anthony Raymond Canada 6 165 0.5× 39 0.3× 62 0.6× 34 1.5× 15 0.8× 9 229

Countries citing papers authored by Jiří Šťastný

Since Specialization
Citations

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

Fields of papers citing papers by Jiří Šťastný

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiří Šťastný

This figure shows the co-authorship network connecting the top 25 collaborators of Jiří Šťastný. A scholar is included among the top collaborators of Jiří Šťastný 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 Jiří Šťastný. Jiří Šťastný 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.
Bartas, Martin, et al.. (2025). CpX Hunter web tool allows high-throughput identification of CpG, CpA, CpT, and CpC islands: A case study in Drosophila genome. Journal of Biological Chemistry. 301(6). 108537–108537.
2.
Bartas, Martin, et al.. (2023). Variability of Inverted Repeats in All Available Genomes of Bacteria. Microbiology Spectrum. 11(4). e0164823–e0164823. 1 indexed citations
3.
Brázda, Václav, et al.. (2023). Feature-overlapper: The tool for DNA analysis overlap. Software Impacts. 16. 100498–100498.
4.
Šťastný, Jiří, et al.. (2022). Interaction of C-terminal p53 isoforms depends strongly upon DNA sequence and topology. Biochimie. 208. 93–99. 3 indexed citations
5.
Bartas, Martin, Jiří Šťastný, Petr Pečínka, et al.. (2021). Analyses of viral genomes for G-quadruplex forming sequences reveal their correlation with the type of infection. Biochimie. 186. 13–27. 37 indexed citations
6.
Bartas, Martin, Václav Brázda, Jiří Šťastný, et al.. (2019). The Presence and Localization of G-Quadruplex Forming Sequences in the Domain of Bacteria. Molecules. 24(9). 1711–1711. 71 indexed citations
7.
Šťastný, Jiří, et al.. (2019). Divergent distributions of inverted repeats and G-quadruplex forming sequences in Saccharomyces cerevisiae. Genomics. 112(2). 1897–1901. 19 indexed citations
8.
Brázda, Václav, Jan Kolomazník, Jiří Lýsek, et al.. (2019). G4Hunter web application: a web server for G-quadruplex prediction. Bioinformatics. 35(18). 3493–3495. 149 indexed citations
9.
Šťastný, Jiří, et al.. (2018). MONITORING STAVEB – SLEDOVÁNÍ NASAZENÍ ZVEDACÍCH PROSTŘEDKŮ. 4(1). 85–92. 1 indexed citations
10.
Brázda, Václav, Jan Kolomazník, Jiří Lýsek, et al.. (2016). Palindrome analyser – A new web-based server for predicting and evaluating inverted repeats in nucleotide sequences. Biochemical and Biophysical Research Communications. 478(4). 1739–1745. 63 indexed citations
11.
Šťastný, Jiří, et al.. (2014). Time series clustering in large data sets. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 59(2). 75–80.
12.
Lýsek, Jiří & Jiří Šťastný. (2014). Automatic discovery of the regression model by the means of grammatical and differential evolution. Agricultural Economics (Zemědělská ekonomika). 60(12). 546–552.
13.
Šťastný, Jiří, et al.. (2014). Comparison of time series forecasting with artificial neural network and statistical approach. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 59(2). 347–352. 2 indexed citations
14.
Procházka, David, et al.. (2013). Point cloud processing for smart systems. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 61(7). 2415–2421. 10 indexed citations
15.
Šťastný, Jiří, et al.. (2013). Time series classification using k-Nearest neighbours, Multilayer Perceptron and Learning Vector Quantization algorithms. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 60(2). 69–72. 7 indexed citations
16.
Šťastný, Jiří, et al.. (2012). Usage of data mining techniques on marketing research data. 85(12). 159–164. 2 indexed citations
17.
Šťastný, Jiří, et al.. (2011). Using neural networks for marketing research data classification. 252–256. 6 indexed citations
18.
Šťastný, Jiří, et al.. (2009). Comparison methods for object recognition. International Conference on Systems. 607–610. 8 indexed citations
19.
Šťastný, Jiří, et al.. (2007). Genetic algorithm and neural network. 345–349. 11 indexed citations
20.
Šťastný, Jiří, et al.. (2004). Wavelet transform for image analysis. 50–55. 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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