Jan Mielniczuk

59 papers and 851 indexed citations i.

About

Jan Mielniczuk is a scholar working on Statistics and Probability, Artificial Intelligence and Finance. According to data from OpenAlex, Jan Mielniczuk has authored 59 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Statistics and Probability, 23 papers in Artificial Intelligence and 13 papers in Finance. Recurrent topics in Jan Mielniczuk’s work include Statistical Methods and Inference (34 papers), Bayesian Methods and Mixture Models (13 papers) and Financial Risk and Volatility Modeling (12 papers). Jan Mielniczuk is often cited by papers focused on Statistical Methods and Inference (34 papers), Bayesian Methods and Mixture Models (13 papers) and Financial Risk and Volatility Modeling (12 papers). Jan Mielniczuk collaborates with scholars based in Poland, United States and Canada. Jan Mielniczuk's co-authors include Sándor Csörgő, Irène Gijbels, Wei Biao Wu, Stan Matwin, Joanna Tyrcha, Philippe Vieu, Pascal Sarda, Elias Masry, Lesław Gajek and Zakari Arétouyap and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Jan Mielniczuk i

Fields of papers citing papers by Jan Mielniczuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jan Mielniczuk

Since Specialization
Citations

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