Marie Hušková

101 papers and 2.0k indexed citations i.

About

Marie Hušková is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty. According to data from OpenAlex, Marie Hušková has authored 101 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Statistics and Probability, 32 papers in Finance and 19 papers in Statistics, Probability and Uncertainty. Recurrent topics in Marie Hušková’s work include Statistical Methods and Inference (64 papers), Advanced Statistical Methods and Models (39 papers) and Financial Risk and Volatility Modeling (31 papers). Marie Hušková is often cited by papers focused on Statistical Methods and Inference (64 papers), Advanced Statistical Methods and Models (39 papers) and Financial Risk and Volatility Modeling (31 papers). Marie Hušková collaborates with scholars based in Czechia, Greece and United States. Marie Hušková's co-authors include Petr Mandl, Lajos Horváth, Josef Steinebach, Simos G. Meintanis, Jaromı́r Antoch, Piotr Kokoszka, Claudia Kirch, Alexander Aue, Zdeněk Hlávka and Simos G. Meintanis and has published in prestigious journals such as Econometrica, Technometrics and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Marie Hušková i

Fields of papers citing papers by Marie Hušková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marie Hušková

Since Specialization
Citations

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