Daniela Jarušková

26 papers and 283 indexed citations i.

About

Daniela Jarušková is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty. According to data from OpenAlex, Daniela Jarušková has authored 26 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 7 papers in Finance and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Daniela Jarušková’s work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (8 papers) and Financial Risk and Volatility Modeling (6 papers). Daniela Jarušková is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Statistical Methods and Inference (8 papers) and Financial Risk and Volatility Modeling (6 papers). Daniela Jarušková collaborates with scholars based in Czechia, Russia and France. Daniela Jarušková's co-authors include Jaromı́r Antoch, V. I. Piterbarg, J.M.P. Albin, Jan Novák, Jan Zeman, Jiřı́ Šejnoha, Gérard Gregoire, Michal Šejnoha, Igor Liška and Anna Kučerová and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Monthly Weather Review and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Co-authorship network of co-authors of Daniela Jarušková i

Fields of papers citing papers by Daniela Jarušková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Jarušková

Since Specialization
Citations

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

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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