Aleksander Weron

4.7k total citations
121 papers, 3.1k citations indexed

About

Aleksander Weron is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Finance. According to data from OpenAlex, Aleksander Weron has authored 121 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistical and Nonlinear Physics, 38 papers in Modeling and Simulation and 30 papers in Finance. Recurrent topics in Aleksander Weron's work include Fractional Differential Equations Solutions (38 papers), stochastic dynamics and bifurcation (24 papers) and Complex Systems and Time Series Analysis (24 papers). Aleksander Weron is often cited by papers focused on Fractional Differential Equations Solutions (38 papers), stochastic dynamics and bifurcation (24 papers) and Complex Systems and Time Series Analysis (24 papers). Aleksander Weron collaborates with scholars based in Poland, Ukraine and United States. Aleksander Weron's co-authors include Marcin Magdziarz, Krzysztof Burnecki, Karina Weron, J. Klafter, Aleksander Janicki, A. A. Stanislavsky, P. M. Lee, Eldad Kepten, Joanna Janczura and Yuval Garini and has published in prestigious journals such as Nature, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Aleksander Weron

113 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksander Weron Poland 30 1.2k 1.2k 839 731 546 121 3.1k
Marcin Magdziarz Poland 27 1.2k 1.0× 939 0.8× 562 0.7× 392 0.5× 370 0.7× 76 2.1k
Jaume Masoliver Spain 30 400 0.3× 1.3k 1.1× 647 0.8× 565 0.8× 505 0.9× 124 2.5k
Enrico Scalas Italy 25 2.9k 2.4× 1.2k 1.0× 337 0.4× 875 1.2× 585 1.1× 127 4.9k
V. V. Uchaikin Russia 23 1.4k 1.2× 866 0.7× 192 0.2× 189 0.3× 201 0.4× 122 2.8k
Peter E. Kloeden Germany 26 541 0.4× 946 0.8× 309 0.4× 402 0.5× 2.8k 5.1× 64 6.0k
Iddo Eliazar Israel 24 292 0.2× 941 0.8× 507 0.6× 818 1.1× 174 0.3× 163 2.1k
Aleksei V. Chechkin Ukraine 46 3.0k 2.5× 2.8k 2.4× 2.0k 2.4× 598 0.8× 250 0.5× 149 6.2k
Ludwig Arnold Germany 26 386 0.3× 1.6k 1.3× 262 0.3× 298 0.4× 1.0k 1.9× 67 5.4k
Krzysztof Burnecki Poland 20 626 0.5× 600 0.5× 591 0.7× 529 0.7× 252 0.5× 72 1.8k
Mark Freidlin United States 28 434 0.4× 1.6k 1.3× 383 0.5× 200 0.3× 1.2k 2.2× 114 4.7k

Countries citing papers authored by Aleksander Weron

Since Specialization
Citations

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

Fields of papers citing papers by Aleksander Weron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksander Weron

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksander Weron. A scholar is included among the top collaborators of Aleksander Weron 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 Aleksander Weron. Aleksander Weron 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.
Stanislavsky, A. A. & Aleksander Weron. (2024). Transient motion classification and segment analysis of diffusive trajectories of G proteins and coupled-receptors in a living cell. SHILAP Revista de lepidopterología. 14(1).
2.
Stanislavsky, A. A. & Aleksander Weron. (2024). Fractional Lévy Stable Motion from a Segmentation Perspective. Fractal and Fractional. 8(6). 336–336. 1 indexed citations
3.
Stanislavsky, A. A. & Aleksander Weron. (2023). Confined modes of single-particle trajectories induced by stochastic resetting. Physical review. E. 108(4). 44130–44130. 2 indexed citations
4.
Stanislavsky, A. A. & Aleksander Weron. (2022). Subdiffusive search with home returns via stochastic resetting: a subordination scheme approach. Journal of Physics A Mathematical and Theoretical. 55(7). 74004–74004. 10 indexed citations
5.
Lanoiselée, Yann, A. A. Stanislavsky, Davide Calebiro, & Aleksander Weron. (2022). Temperature and friction fluctuations inside a harmonic potential. Physical review. E. 106(6). 64127–64127. 9 indexed citations
6.
Stanislavsky, A. A. & Aleksander Weron. (2021). Optimal non-Gaussian search with stochastic resetting. Physical review. E. 104(1). 14125–14125. 22 indexed citations
7.
Janczura, Joanna, et al.. (2021). Classification of random trajectories based on the fractional Lévy stable motion. Chaos Solitons & Fractals. 154. 111606–111606. 8 indexed citations
8.
Stanislavsky, A. A. & Aleksander Weron. (2021). Duality of fractional systems. Communications in Nonlinear Science and Numerical Simulation. 101. 105861–105861. 5 indexed citations
9.
Stanislavsky, A. A. & Aleksander Weron. (2020). Confined random motion with Laplace and Linnik statistics. Journal of Physics A Mathematical and Theoretical. 54(5). 55009–55009. 6 indexed citations
10.
Stanislavsky, A. A. & Aleksander Weron. (2020). Look at Tempered Subdiffusion in a Conjugate Map: Desire for the Confinement. Entropy. 22(11). 1317–1317. 4 indexed citations
11.
Stanislavsky, A. A. & Aleksander Weron. (2020). Accelerating and retarding anomalous diffusion: A Bernstein function approach. Physical review. E. 101(5). 52119–52119. 17 indexed citations
12.
Janczura, Joanna, et al.. (2020). Machine learning classification of particle trajectories in living cells: machine learning versus statistical testing hypothesis. arXiv (Cornell University). 1 indexed citations
13.
Stanislavsky, A. A. & Aleksander Weron. (2019). Control of the transient subdiffusion exponent at short and long times. Physical Review Research. 1(2). 15 indexed citations
14.
Stanislavsky, A. A., et al.. (2019). Solar X-ray variability in terms of a fractional heteroskedastic time series model. Monthly Notices of the Royal Astronomical Society. 485(3). 3970–3980. 4 indexed citations
15.
Stanislavsky, A. A. & Aleksander Weron. (2018). Transient anomalous diffusion with Prabhakar-type memory. The Journal of Chemical Physics. 149(4). 44107–44107. 16 indexed citations
16.
Weron, Aleksander, et al.. (2009). Itô Formula for Subordinated Langevin Equation. A Case of Time Dependent Force. Acta Physica Polonica B. 40(5). 1271. 3 indexed citations
17.
Michna, Zbigniew & Aleksander Weron. (2007). ASYMPTOTIC BEHAVIOR OF THE FINITE TIME RUIN PROBABILITY OF A GAMMA LÉVY PROCESS. RePEc: Research Papers in Economics. 1 indexed citations
18.
Weron, Aleksander & Agnieszka Wyłomańska. (2003). ON ARMA (1, q) MODELS WITH BOUNDED AND PERIODICALLY CORRELATED SOLUTIONS. RePEc: Research Papers in Economics. 3 indexed citations
19.
Weron, Aleksander, et al.. (2001). Metody nieparametryczne obliczania VaR. 60–63. 1 indexed citations
20.
Burnecki, Krzysztof, Makoto Maejima, & Aleksander Weron. (1997). The Lamperti transformation for self-similar processes : Dedicated to the memory of Stamatis Cambanis). The Yokohama mathematical journal = 横濱市立大學紀要. D部門, 数学. 44(1). 25–42. 7 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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