Jozef Kiseľák

512 total citations
42 papers, 352 citations indexed

About

Jozef Kiseľák is a scholar working on Statistics and Probability, Finance and Economics and Econometrics. According to data from OpenAlex, Jozef Kiseľák has authored 42 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 9 papers in Finance and 9 papers in Economics and Econometrics. Recurrent topics in Jozef Kiseľák's work include Complex Systems and Time Series Analysis (8 papers), Stochastic processes and financial applications (5 papers) and Advanced Statistical Methods and Models (5 papers). Jozef Kiseľák is often cited by papers focused on Complex Systems and Time Series Analysis (8 papers), Stochastic processes and financial applications (5 papers) and Advanced Statistical Methods and Models (5 papers). Jozef Kiseľák collaborates with scholars based in Slovakia, Austria and Chile. Jozef Kiseľák's co-authors include Milan Stehlík, Silvia Vilčeková, Ľudmila Mečiarová, Eva Krídlová Burdová, Ying Lü, P Szépe, Ján Švihra, Orietta Nicolis, Jiří Dušek and Fabrizio Ruggeri and has published in prestigious journals such as Information Sciences, International Journal of Environmental Research and Public Health and Fuzzy Sets and Systems.

In The Last Decade

Jozef Kiseľák

38 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jozef Kiseľák Slovakia 10 62 59 55 50 41 42 352
Poul Thyregod Denmark 11 32 0.5× 12 0.2× 36 0.7× 30 0.6× 83 2.0× 28 379
Ibrahim M. Almanjahie Saudi Arabia 15 30 0.5× 17 0.3× 92 1.7× 24 0.5× 363 8.9× 103 690
S. S. Isukapalli United States 5 98 1.6× 34 0.6× 12 0.2× 40 0.8× 12 0.3× 10 443
Juvêncio S. Nobre Brazil 10 28 0.5× 12 0.2× 84 1.5× 42 0.8× 142 3.5× 33 474
Taeryon Choi South Korea 11 51 0.8× 15 0.3× 274 5.0× 78 1.6× 268 6.5× 52 664
Connor J. Dalzell Canada 4 33 0.5× 9 0.2× 125 2.3× 42 0.8× 290 7.1× 5 629
Long Thanh Ngo Vietnam 13 26 0.4× 7 0.1× 322 5.9× 57 1.1× 88 2.1× 52 614
Le Yin China 13 34 0.5× 18 0.3× 94 1.7× 12 0.2× 5 0.1× 56 457
Lulu Kang United States 8 32 0.5× 6 0.1× 37 0.7× 58 1.2× 26 0.6× 28 196
Alexandre Rodrigues Brazil 11 65 1.0× 7 0.1× 120 2.2× 24 0.5× 19 0.5× 31 483

Countries citing papers authored by Jozef Kiseľák

Since Specialization
Citations

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

Fields of papers citing papers by Jozef Kiseľák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jozef Kiseľák

This figure shows the co-authorship network connecting the top 25 collaborators of Jozef Kiseľák. A scholar is included among the top collaborators of Jozef Kiseľák 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 Jozef Kiseľák. Jozef Kiseľák 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.
Dinamarca, M. Alejandro, et al.. (2025). Non-standard ANOVA like statistical analysis of Cobetia marina MM1IDA2H-1 biofilm formation behavior at different temperatures. Stochastic Analysis and Applications. 43(4). 533–552.
2.
3.
Kiseľák, Jozef, et al.. (2024). On existence results of boundary value problems of Caputo fractional difference equations for weak-form efficient market hypothesis. Stochastic Analysis and Applications. 43(1). 30–47.
4.
Flournoy, Nancy, Leonard B. Hearne, Jozef Kiseľák, & Milan Stehlík. (2023). On dose-response modeling for evaluation of drugs combinations. Stochastic Analysis and Applications. 42(1). 45–63. 1 indexed citations
5.
Vilčeková, Silvia, et al.. (2023). Assessment of indoor environmental quality and seasonal well-being of students in a combined historic technical school building in Slovakia. Environmental Monitoring and Assessment. 195(12). 1524–1524. 7 indexed citations
6.
Stehlík, Milan, et al.. (2023). Stochastic approach to heterogeneity in short-time announcement effects on the Chilean stock market indexes within 2016-2019. Stochastic Analysis and Applications. 42(1). 1–19. 4 indexed citations
7.
Stehlík, Milan, Jozef Kiseľák, M. Alejandro Dinamarca, et al.. (2022). REDACS: Regional emergency-driven adaptive cluster sampling for effective COVID-19 management. Stochastic Analysis and Applications. 41(3). 474–508. 4 indexed citations
8.
Stehlík, Milan, et al.. (2022). I-divergence based statistical inference for heteroscedasticity and compounds of arsenic contamination in Chile. Chemometrics and Intelligent Laboratory Systems. 226. 104579–104579. 2 indexed citations
9.
Stehlík, Milan, et al.. (2020). On COVID-19 outbreaks predictions: Issues on stability, parameter sensitivity, and precision. Stochastic Analysis and Applications. 39(3). 383–404. 6 indexed citations
10.
Kiseľák, Jozef, Ying Lü, Ján Švihra, P Szépe, & Milan Stehlík. (2020). “SPOCU”: scaled polynomial constant unit activation function. Neural Computing and Applications. 33(8). 3385–3401. 65 indexed citations
11.
Stehlík, Milan, et al.. (2019). Fredholm integral relation between compound estimation and prediction (FIRCEP). Stochastic Analysis and Applications. 38(3). 427–459. 3 indexed citations
12.
Hutník, Ondrej, et al.. (2018). Beyond the scope of super level measures. Fuzzy Sets and Systems. 364. 36–63. 5 indexed citations
13.
Kiseľák, Jozef, Philipp Hermann, & Milan Stehlík. (2017). Negative interest rates: why and how?. Americanae (AECID Library). 3 indexed citations
14.
Vilčeková, Silvia, et al.. (2017). Investigation of Indoor Air Quality in Houses of Macedonia. International Journal of Environmental Research and Public Health. 14(1). 37–37. 38 indexed citations
15.
Mečiarová, Ľudmila, Silvia Vilčeková, Eva Krídlová Burdová, & Jozef Kiseľák. (2017). Factors Effecting the Total Volatile Organic Compound (TVOC) Concentrations in Slovak Households. International Journal of Environmental Research and Public Health. 14(12). 1443–1443. 39 indexed citations
16.
Stehlík, Milan, et al.. (2016). Generalized interest rate dynamics and its impacts on finance and pensions. Stochastic Analysis and Applications. 35(1). 178–190. 4 indexed citations
17.
Stehlík, Milan, Polychronis Εconomou, Jozef Kiseľák, & Wolf‐Dieter Richter. (2014). Kullback–Leibler life time testing. Applied Mathematics and Computation. 240. 122–139. 8 indexed citations
18.
Kiseľák, Jozef. (2013). On Some Probabilistic Aspects of Diffusion Models for Tissue Growth. 5(1). 14–21. 3 indexed citations
19.
Stehlík, Milan, et al.. (2012). I-divergence based testing with applications to reliability and physics. Journal | MESA. 3(4). 417–432. 1 indexed citations
20.
Varga, Lukáš, et al.. (2010). Larval and adult food preferences of the poinsettia thrips Echinothrips americanus Morgan, 1913 (Thysanoptera: Thripidae). Journal of Pest Science. 83(3). 319–327. 10 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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