Jacek Wesołowski

1.2k total citations
112 papers, 787 citations indexed

About

Jacek Wesołowski is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Jacek Wesołowski has authored 112 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Statistics and Probability, 36 papers in Artificial Intelligence and 28 papers in Mathematical Physics. Recurrent topics in Jacek Wesołowski's work include Statistical Distribution Estimation and Applications (38 papers), Bayesian Methods and Mixture Models (31 papers) and Probability and Risk Models (21 papers). Jacek Wesołowski is often cited by papers focused on Statistical Distribution Estimation and Applications (38 papers), Bayesian Methods and Mixture Models (31 papers) and Probability and Risk Models (21 papers). Jacek Wesołowski collaborates with scholars based in Poland, United States and Canada. Jacek Wesołowski's co-authors include Grzegorz A. Rempała, Mohammad Ahsanullah, Gérard Letac, Anna Dembińska, Hélène Massam, Włodzimierz Bryc, Yizao Wang, Alexei Stepanov, Fernando López-Blázquez and Gérard Letac and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Proceedings of the American Mathematical Society.

In The Last Decade

Jacek Wesołowski

104 papers receiving 747 citations

Peers

Countries citing papers authored by Jacek Wesołowski

Since Specialization

Citations

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

Fields of papers citing papers by Jacek Wesołowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacek Wesołowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jacek Wesołowski. A scholar is included among the top collaborators of Jacek Wesołowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacek Wesołowski. Jacek Wesołowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	How Exceptional is the Extremal Kendall and Kendall-Type Convolution 2023 ·Results in Mathematics ·(unknown), (unknown), Edward Omey, Jacek Wesołowski	1
2	From Invariance Under Binomial Thinning to Unification of the Cauchy and the Gołąb–Schinzel-Type Equations 2021 ·Results in Mathematics ·Karol Baron, Jacek Wesołowski	0
3	Change of measure technique in characterizations of the gamma and Kummer distributions 2017 ·Journal of Mathematical Analysis and Applications ·(unknown), Jacek Wesołowski	7
4	Double asymptotics for the chi-square statistic 2016 ·Statistics & Probability Letters ·Grzegorz A. Rempała, Jacek Wesołowski	8
5	Kummer and gamma laws through independences on trees—Another parallel with the Matsumoto–Yor property 2016 ·Journal of Multivariate Analysis ·(unknown), Jacek Wesołowski	6
6	Dirichlet distribution through neutralities with respect to two partitions 2014 ·Journal of Multivariate Analysis ·Agata Sakowicz, Jacek Wesołowski	2
7	PERPETUITIES WITH THIN TAILS REVISITED 2013 ·Paweł Hitczenko, Jacek Wesołowski, (unknown)	10
8	Infinitesimal generators ofq-Meixner processes 2013 ·Stochastic Processes and their Applications ·Włodzimierz Bryc, Jacek Wesołowski	3
9	The Lukacs theorem and the Olkin–Baker equation 2012 ·Journal of Mathematical Analysis and Applications ·Roman Ger, (unknown), Jacek Wesołowski	2
10	Asymptotic Normality Through Factorial Cumulants and Partition Identities 2012 ·Combinatorics Probability Computing ·(unknown), Paweł Hitczenko, Fernando López-Blázquez, Grzegorz A. Rempała, Jacek Wesołowski	0
11	Why Jordan algebras are natural in statistics:quadratic regression\n implies Wishart distributions 2010 ·arXiv (Cornell University) ·Gérard Letac, Jacek Wesołowski	3
12	Tree structured independence for exponential Brownian functionals 2009 ·Stochastic Processes and their Applications ·Hiroyuki Matsumoto, Jacek Wesołowski, (unknown)	2
13	Kshirsagar–Tan independence property of beta matrices and related characterizations 2008 ·Bernoulli ·(unknown), Jacek Wesołowski	1
14	Multiplicative Cauchy functional equation and the equation of ratios on the Lorentz cone 2007 ·Studia Mathematica ·Jacek Wesołowski	5
15	The Matsumoto–Yor property and the structure of the Wishart distribution 2005 ·Journal of Multivariate Analysis ·Hélène Massam, Jacek Wesołowski	21
16	Constancy of regressions for beta distributions 2003 ·V. Seshadri, Jacek Wesołowski	6
17	Multivariate Lukacs theorem 2003 ·Journal of Multivariate Analysis ·(unknown), Jacek Wesołowski	3
18	Optymalna alokacja próby w warunkach niekompletnej realizacji badania 2002 ·(unknown), (unknown), Jacek Wesołowski, (unknown)	2
19	Identifiability of Modified Power Series Mixtures via Posterior Means 2001 ·Journal of Multivariate Analysis ·Arjun K. Gupta, (unknown), Yining Wang, Jacek Wesołowski	2
20	Bivariate distributions via the second-kind beta conditional distribution and a regression function 1996 ·Journal of Mathematical Sciences ·Jacek Wesołowski	2

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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