Tomasz J. Kozubowski

2.9k total citations
93 papers, 1.5k citations indexed

About

Tomasz J. Kozubowski is a scholar working on Finance, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Tomasz J. Kozubowski has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Finance, 49 papers in Statistics and Probability and 19 papers in Management Science and Operations Research. Recurrent topics in Tomasz J. Kozubowski's work include Financial Risk and Volatility Modeling (50 papers), Statistical Distribution Estimation and Applications (40 papers) and Probability and Risk Models (17 papers). Tomasz J. Kozubowski is often cited by papers focused on Financial Risk and Volatility Modeling (50 papers), Statistical Distribution Estimation and Applications (40 papers) and Probability and Risk Models (17 papers). Tomasz J. Kozubowski collaborates with scholars based in United States, Sweden and Poland. Tomasz J. Kozubowski's co-authors include Anna K. Panorska, Krzysztof Podgórski, Seidu Inusah, Svetlozar T. Rachev, Franco Biondi, Mark M. Meerschaert, S. Rao Jammalamadaka, Alexander Gershunov, Nicholas R. Cavanaugh and Igor Rychlik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Tomasz J. Kozubowski

87 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomasz J. Kozubowski United States 23 587 534 363 263 196 93 1.5k
Krzysztof Podgórski Sweden 17 654 1.1× 507 0.9× 148 0.4× 367 1.4× 215 1.1× 82 1.9k
Michael Sørensen Denmark 30 775 1.3× 1.4k 2.6× 116 0.3× 299 1.1× 189 1.0× 68 2.7k
H. L. Gray United States 20 364 0.6× 378 0.7× 235 0.6× 223 0.8× 146 0.7× 78 1.8k
V. Yu. Korolev Russia 16 350 0.6× 418 0.8× 92 0.3× 243 0.9× 349 1.8× 167 1.2k
Chunsheng Ma United States 18 240 0.4× 236 0.4× 174 0.5× 158 0.6× 144 0.7× 90 1.2k
Omiros Papaspiliopoulos United Kingdom 20 794 1.4× 329 0.6× 76 0.2× 929 3.5× 110 0.6× 40 1.8k
Anna K. Panorska United States 17 233 0.4× 298 0.6× 321 0.9× 76 0.3× 95 0.5× 56 979
Masaaki Sibuya Japan 15 379 0.6× 397 0.7× 153 0.4× 342 1.3× 157 0.8× 57 1.4k
J. Rosiński United States 25 304 0.5× 1.2k 2.3× 519 1.4× 93 0.4× 372 1.9× 135 2.6k
Yuri Goegebeur Denmark 18 869 1.5× 1.3k 2.5× 731 2.0× 202 0.8× 341 1.7× 64 2.4k

Countries citing papers authored by Tomasz J. Kozubowski

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz J. Kozubowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomasz J. Kozubowski. 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 Tomasz J. Kozubowski. The network helps show where Tomasz J. Kozubowski may publish in the future.

Co-authorship network of co-authors of Tomasz J. Kozubowski

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz J. Kozubowski. A scholar is included among the top collaborators of Tomasz J. Kozubowski 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 Tomasz J. Kozubowski. Tomasz J. Kozubowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Panorska, Anna K., et al.. (2025). Testing and estimation of the index of stability of univariate and bivariate symmetric α -stable distributions via modified Greenwood statistic. Journal of Computational and Applied Mathematics. 467. 116587–116587.
2.
Kozubowski, Tomasz J., et al.. (2023). A uniform-Laplace mixture distribution. Journal of Computational and Applied Mathematics. 429. 115236–115236. 3 indexed citations
3.
Kozubowski, Tomasz J. & Krzysztof Podgórski. (2018). Kumaraswamy Distribution and Random Extrema. 9(1). 18–25. 1 indexed citations
4.
Kozubowski, Tomasz J., Krzysztof Podgórski, & Igor Rychlik. (2012). Multivariate generalized Laplace distribution and related random fields. Journal of Multivariate Analysis. 113. 59–72. 52 indexed citations
5.
Kozubowski, Tomasz J. & Krzysztof Podgórski. (2012). Laplace probability distributions and related stochastic processes. Lund University Publications (Lund University). 105–145. 3 indexed citations
6.
Kozubowski, Tomasz J. & Anna K. Panorska. (2008). A Mixed Bivariate Distribution Connected with Geometric Maxima of Exponential Variables. Communication in Statistics- Theory and Methods. 37(18). 2903–2923. 19 indexed citations
7.
Kozubowski, Tomasz J., et al.. (2008). Testing Exponentiality Versus Pareto Distribution via Likelihood Ratio. Communications in Statistics - Simulation and Computation. 38(1). 118–139. 23 indexed citations
8.
Kozubowski, Tomasz J., Anna K. Panorska, & Krzysztof Podgórski. (2008). A bivariate Lévy process with negative binomial and gamma marginals. Journal of Multivariate Analysis. 99(7). 1418–1437. 14 indexed citations
9.
Kozubowski, Tomasz J., et al.. (2007). A Class of Asymmetric Distributions. 7 indexed citations
10.
Kozubowski, Tomasz J., Mark M. Meerschaert, & Krzysztof Podgórski. (2006). Fractional Laplace motion. Advances in Applied Probability. 38(2). 451–464. 44 indexed citations
11.
Kozubowski, Tomasz J., Mark M. Meerschaert, & Krzysztof Podgórski. (2006). Fractional Laplace motion. Advances in Applied Probability. 38(2). 451–464. 14 indexed citations
12.
Kozubowski, Tomasz J.. (2005). A note on self-decomposability of stable process subordinated to self-decomposable subordinator. Statistics & Probability Letters. 74(1). 89–91. 3 indexed citations
13.
Meerschaert, Mark M., Tomasz J. Kozubowski, Fred J. Molz, & Silong Lu. (2004). Fractional Laplace model for hydraulic conductivity. Geophysical Research Letters. 31(8). 58 indexed citations
14.
Inusah, Seidu & Tomasz J. Kozubowski. (2004). A discrete analogue of the Laplace distribution. Journal of Statistical Planning and Inference. 136(3). 1090–1102. 91 indexed citations
15.
Biondi, Franco, Tomasz J. Kozubowski, & Anna K. Panorska. (2002). Stochastic modelling of regime changes. AGUFM. 2002. 1 indexed citations
16.
Biondi, Franco, Tomasz J. Kozubowski, & Anna K. Panorska. (2001). A Probability Model for Analyzing Regime Shifts Over Time. AGUFM. 2001.
17.
Klebanov, Lev B., et al.. (2001). Characterization of distributions symmetric with respect to a group of transformations and testing of corresponding statistical hypothesis. Statistics & Probability Letters. 53(3). 241–247. 5 indexed citations
18.
Kozubowski, Tomasz J. & Krzysztof Podgórski. (1999). GEOMETRIC STABLE LAWS THROUGH SERIES REPRESENTATIONS. Bulgarian Digital Mathematics Library (BulDML) at IMI-BAS (Institute of Mathematics and Informatics). 25(3). 241–256. 1 indexed citations
19.
Kozubowski, Tomasz J. & Svetlozar T. Rachev. (1999). Univariate Geometric Stable Laws. 1(2). 177–217. 51 indexed citations
20.
Kozubowski, Tomasz J. & Anna K. Panorska. (1998). Weak Limits for Multivariate Random Sums. Journal of Multivariate Analysis. 67(2). 398–413. 9 indexed citations

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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