Jozef Kiseľák
Impact in
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- Indoor Air Quality and Microbial Exposure
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- Optimal Experimental Design Methods
Papers in
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- Fuzzy Systems and Optimization 4
- Statistical Distribution Estimation and Applications 3
- Finance 8
- Stochastic processes and financial applications 4
- Financial Risk and Volatility Modeling 4
- Co-authors
- Milan Stehlík (32 shared papers)Silvia Vilčeková (3 shared papers)Eva Krídlová Burdová (3 shared papers)Ľudmila Mečiarová (3 shared papers)Ying Lü (3 shared papers)Peter Szepe (1 shared paper)Ján Švihra (1 shared paper)Jiří Dušek (2 shared papers)
In The Last Decade
Jozef Kiseľák
41 papers receiving 384 citations
Peers
Comparison fields: 5 of 76
- Health, Toxicology and Mutagenesis 69
- Management Science and Operations Research 67
- Statistics and Probability 45
- Environmental Engineering 32
- Insect Science 19
Countries citing papers authored by Jozef Kiseľák
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
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-authors
The 25 scholars most cited alongside Jozef Kiseľák, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 69 | |
| 2 | 2017 | 46 | |
| 3 | 2017 | 43 | |
| 4 | 2007 | 37 | |
| 5 | 2018 | 24 | |
| 6 | 2016 | 18 | |
| 7 | 2010 | 13 | |
| 8 | 2021 | 13 | |
| 9 | 2016 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 5 |
About Jozef Kiseľák
Jozef Kiseľák is a scholar working on Statistics and Probability, Finance, Applied Mathematics, Management Science and Operations Research and Modeling and Simulation, having authored 47 papers that have together received 396 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (4 papers), Financial Risk and Volatility Modeling (4 papers), Fuzzy Systems and Optimization (4 papers), Insect-Plant Interactions and Control (3 papers), Indoor Air Quality and Microbial Exposure (3 papers), Statistical Distribution Estimation and Applications (3 papers), Complex Systems and Time Series Analysis (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (69 citations), Management Science and Operations Research (67 citations), Statistics and Probability (45 citations), Environmental Engineering (32 citations) and Insect Science (19 citations). Jozef Kiseľák has collaborated with scholars based in Slovakia, Austria and Chile. Frequent co-authors include Milan Stehlík, Silvia Vilčeková, Eva Krídlová Burdová, Ľudmila Mečiarová, Ying Lü, Peter Szepe, Ján Švihra, Jiří Dušek, Orietta Nicolis and Fabrizio Ruggeri. Their work appears in journals such as Ecological Complexity, Applied Mathematics and Computation, International Journal of Environmental Research and Public Health, Fuzzy Sets and Systems and Neural Computing and Applications.
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.