Jozef Kiseľák
Impact in
- Statistics and Probability top 10%
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- Air Quality Monitoring and Forecasting
Papers in
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- Advanced Statistical Methods and Models 5
- Statistical Methods and Inference 4
- Finance 9
- Stochastic processes and financial applications 5
- Financial Risk and Volatility Modeling 5
- Co-authors
- Milan Stehlík (28 shared papers)Ľudmila Mečiarová (3 shared papers)Silvia Vilčeková (3 shared papers)Eva Krídlová Burdová (3 shared papers)Ying Lü (4 shared papers)Ján Švihra (2 shared papers)P Szépe (2 shared papers)Jiří Dušek (1 shared paper)
In The Last Decade
Jozef Kiseľák
38 papers receiving 338 citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 41
- Environmental Engineering 62
- Health, Toxicology and Mutagenesis 59
- Management Science and Operations Research 50
- Modeling and Simulation 16
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2017 | 39 | |
| 3 | 2017 | 38 | |
| 4 | 2007 | 30 | |
| 5 | 2018 | 21 | |
| 6 | 2016 | 16 | |
| 7 | 2021 | 13 | |
| 8 | 2010 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2016 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2016 | 7 | |
| 15 | 2020 | 6 | |
| 16 | 2013 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 4 |
About Jozef Kiseľák
Jozef Kiseľák is a scholar working on Statistics and Probability, Finance, Economics and Econometrics, Management Science and Operations Research and Control and Systems Engineering, having authored 42 papers that have together received 352 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (8 papers), Advanced Statistical Methods and Models (5 papers), Stochastic processes and financial applications (5 papers), Financial Risk and Volatility Modeling (5 papers), Statistical Methods and Inference (4 papers), Air Quality and Health Impacts (4 papers), Economic theories and models (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Statistics and Probability (41 citations), Environmental Engineering (62 citations), Health, Toxicology and Mutagenesis (59 citations), Management Science and Operations Research (50 citations) and Modeling and Simulation (16 citations). Jozef Kiseľák has collaborated with scholars based in Slovakia, Austria and Chile. Frequent co-authors include Milan Stehlík, Ľudmila Mečiarová, Silvia Vilčeková, Eva Krídlová Burdová, Ying Lü, Ján Švihra, P Szépe, Jiří Dušek, Orietta Nicolis and Peter Fedor. Their work appears in journals such as Ecological Complexity, Neural Computing and Applications, International Journal of Environmental Research and Public Health, Fuzzy Sets and Systems and Applied Mathematics and Computation.
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.