Dalibor Volný

866 total citations
47 papers, 379 citations indexed

About

Dalibor Volný is a scholar working on Mathematical Physics, Finance and Management Science and Operations Research. According to data from OpenAlex, Dalibor Volný has authored 47 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mathematical Physics, 19 papers in Finance and 17 papers in Management Science and Operations Research. Recurrent topics in Dalibor Volný's work include Mathematical Dynamics and Fractals (18 papers), Probability and Risk Models (17 papers) and Stochastic processes and financial applications (16 papers). Dalibor Volný is often cited by papers focused on Mathematical Dynamics and Fractals (18 papers), Probability and Risk Models (17 papers) and Stochastic processes and financial applications (16 papers). Dalibor Volný collaborates with scholars based in France, United States and Czechia. Dalibor Volný's co-authors include Emmanuel Lesigne, Wei Biao Wu, Jérôme Dedecker, Florence Merlevède, Mariusz Lemańczyk, Pierre Liardet, Yizao Wang, François Parreau, Herold Dehling and Michael Woodroofe and has published in prestigious journals such as Transactions of the American Mathematical Society, Journal of Applied Probability and Stochastic Processes and their Applications.

In The Last Decade

Dalibor Volný

45 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dalibor Volný France 10 232 162 113 111 54 47 379
Vladimir Rotar Russia 12 198 0.9× 97 0.6× 79 0.7× 185 1.7× 54 1.0× 49 444
Dariusz Buraczewski Poland 10 198 0.9× 109 0.7× 77 0.7× 62 0.6× 77 1.4× 41 323
Fuqing Gao China 11 135 0.6× 276 1.7× 121 1.1× 123 1.1× 101 1.9× 56 464
István Fazekas Hungary 8 101 0.4× 75 0.5× 134 1.2× 63 0.6× 34 0.6× 53 250
Lucia Caramellino Italy 11 97 0.4× 190 1.2× 56 0.5× 65 0.6× 41 0.8× 40 293
James Kuelbs United States 11 154 0.7× 155 1.0× 105 0.9× 86 0.8× 60 1.1× 22 354
Loren D. Pitt United States 9 234 1.0× 202 1.2× 93 0.8× 120 1.1× 124 2.3× 35 483
L. Chaumont France 13 277 1.2× 263 1.6× 158 1.4× 90 0.8× 50 0.9× 32 463
Yuji Kasahara Japan 12 238 1.0× 197 1.2× 47 0.4× 65 0.6× 41 0.8× 38 383
Zbigniew J. Jurek Poland 11 252 1.1× 276 1.7× 147 1.3× 148 1.3× 124 2.3× 43 504

Countries citing papers authored by Dalibor Volný

Since Specialization
Citations

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

Fields of papers citing papers by Dalibor Volný

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalibor Volný

This figure shows the co-authorship network connecting the top 25 collaborators of Dalibor Volný. A scholar is included among the top collaborators of Dalibor Volný 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 Dalibor Volný. Dalibor Volný 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.
Jakubowski, Adam, et al.. (2019). Stable limits for Markov chains via the Principle of Conditioning. Stochastic Processes and their Applications. 130(4). 1853–1878. 3 indexed citations
2.
Volný, Dalibor, et al.. (2015). Limit theorems for weighted Bernoulli random fields under Hannan’s condition. Stochastic Processes and their Applications. 126(6). 1819–1838. 4 indexed citations
3.
Volný, Dalibor. (2015). Théorème limite central pour les champs d'accroissements martingale. HAL (Le Centre pour la Communication Scientifique Directe). 12 indexed citations
4.
Volný, Dalibor & Yizao Wang. (2014). An invariance principle for stationary random fields under Hannan’s condition. Stochastic Processes and their Applications. 124(12). 4012–4029. 12 indexed citations
5.
Volný, Dalibor, et al.. (2014). A strictly stationary β-mixing process satisfying the central limit theorem but not the weak invariance principle. Stochastic Processes and their Applications. 124(11). 3769–3781. 4 indexed citations
6.
Volný, Dalibor, et al.. (2012). A central limit theorem for stationary random fields. Stochastic Processes and their Applications. 123(1). 1–14. 41 indexed citations
7.
Dehling, Herold, et al.. (2009). New techniques for empirical processes of dependent data. Stochastic Processes and their Applications. 119(10). 3699–3718. 17 indexed citations
8.
Volný, Dalibor, et al.. (2008). On the exactness of the Wu–Woodroofe approximation. Stochastic Processes and their Applications. 119(7). 2158–2165. 4 indexed citations
9.
Volný, Dalibor, et al.. (2007). An invariance principle for non-adapted processes. Comptes Rendus Mathématique. 345(5). 283–287. 1 indexed citations
10.
Lesigne, Emmanuel & Dalibor Volný. (2001). Large deviations for martingales. Stochastic Processes and their Applications. 96(1). 143–159. 57 indexed citations
11.
Volný, Dalibor. (1999). Invariance principles and Gaussian approximation for strictly stationary processes. Transactions of the American Mathematical Society. 351(8). 3351–3371. 13 indexed citations
12.
Aaronson, Jon, Mariusz Lemańczyk, & Dalibor Volný. (1998). A cut salad of cocycles. Fundamenta Mathematicae. 157(2). 99–119. 5 indexed citations
13.
Volný, Dalibor. (1993). Approximating martingales and the central limit theorem for strictly stationary processes. Stochastic Processes and their Applications. 44(1). 41–74. 40 indexed citations
14.
Volný, Dalibor. (1990). ON LIMIT THEOREMS AND CATEGORY FOR DYNAMICAL SYSTEMS. The Yokohama mathematical journal = 横濱市立大學紀要. D部門, 数学. 38(1). 29–35. 7 indexed citations
15.
Volný, Dalibor. (1989). A central limit theorem for non stationary mixing processes. Commentationes Mathematicae Universitatis Carolinae. 30(2). 405–407. 2 indexed citations
16.
Volný, Dalibor. (1988). COUNTER EXAMPLES TO THE CENTRAL LIMIT PROBLEM FOR STATIONARY DEPENDENT RANDOM VARIABLES. The Yokohama mathematical journal = 横濱市立大學紀要. D部門, 数学. 36(1). 69–78. 3 indexed citations
17.
Volný, Dalibor. (1987). MARTINGALE DECOMPOSITIONS OF STATIONARY PROCESSES. The Yokohama mathematical journal = 横濱市立大學紀要. D部門, 数学. 35(1). 113–121. 2 indexed citations
18.
Volný, Dalibor. (1987). A nonergodic version of Gordin's CLT for integrable stationary processes. Commentationes Mathematicae Universitatis Carolinae. 28(3). 413–419. 3 indexed citations
19.
Volný, Dalibor. (1987). ON THE INVARIANCE PRINCIPLE AND FUNCTIONAL LAW OF ITERATED LOGARITHM FOR NONERGODIC PROCESSES. The Yokohama mathematical journal = 横濱市立大學紀要. D部門, 数学. 35(1). 137–141. 6 indexed citations
20.
Sedláček, Juraj, Milan Fábry, Ivan Rychlík, Dalibor Volný, & Antonı́n Vı́tek. (1978). Base pairing mRNA-rRNA. The arrangement of nucleotides in the message for coat protein of phage MS 2.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 22(5). 353–61. 2 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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