Jérôme Dedecker

2.5k total citations
70 papers, 1.2k citations indexed

About

Jérôme Dedecker is a scholar working on Mathematical Physics, Statistics and Probability and Finance. According to data from OpenAlex, Jérôme Dedecker has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Mathematical Physics, 24 papers in Statistics and Probability and 23 papers in Finance. Recurrent topics in Jérôme Dedecker's work include Mathematical Dynamics and Fractals (33 papers), Stochastic processes and statistical mechanics (27 papers) and Stochastic processes and financial applications (19 papers). Jérôme Dedecker is often cited by papers focused on Mathematical Dynamics and Fractals (33 papers), Stochastic processes and statistical mechanics (27 papers) and Stochastic processes and financial applications (19 papers). Jérôme Dedecker collaborates with scholars based in France, United States and United Kingdom. Jérôme Dedecker's co-authors include Florence Merlevède, Clémentine Prieur, Paul Doukhan, Sana Louhichi, José R. León, Gabriel Lang, Sébastien Gouëzel, Emmanuel Rio, Magda Peligrad and Dalibor Volný and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics and Transactions of the American Mathematical Society.

In The Last Decade

Jérôme Dedecker

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Dedecker France 16 579 521 513 275 201 70 1.2k
Emmanuel Rio France 20 408 0.7× 492 0.9× 732 1.4× 301 1.1× 262 1.3× 50 1.4k
Magda Peligrad United States 23 737 1.3× 629 1.2× 583 1.1× 663 2.4× 215 1.1× 81 1.5k
Florence Merlevède France 18 445 0.8× 311 0.6× 384 0.7× 163 0.6× 102 0.5× 68 840
Ivan Nourdin France 23 630 1.1× 871 1.7× 486 0.9× 144 0.5× 108 0.5× 72 1.5k
S. V. Nagaev Russia 12 654 1.1× 348 0.7× 460 0.9× 533 1.9× 190 0.9× 85 1.3k
Pál Révész Austria 23 770 1.3× 521 1.0× 542 1.1× 412 1.5× 263 1.3× 111 1.6k
Mikhail Lifshits Russia 14 406 0.7× 414 0.8× 251 0.5× 161 0.6× 98 0.5× 100 1.0k
Makoto Maejima Japan 21 446 0.8× 790 1.5× 263 0.5× 288 1.0× 89 0.4× 86 1.3k
Włodzimierz Bryc United States 18 368 0.6× 221 0.4× 472 0.9× 196 0.7× 192 1.0× 55 965
Josef Steinebach Germany 18 205 0.4× 536 1.0× 657 1.3× 315 1.1× 166 0.8× 106 1.2k

Countries citing papers authored by Jérôme Dedecker

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Dedecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Dedecker

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Dedecker. A scholar is included among the top collaborators of Jérôme Dedecker 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 Jérôme Dedecker. Jérôme Dedecker 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.
Dedecker, Jérôme, et al.. (2024). Limit theorems for iid products of positive matrices. Latin American Journal of Probability and Mathematical Statistics. 21(2). 1495–1495. 1 indexed citations
2.
Dedecker, Jérôme, et al.. (2024). Rates in Almost Sure Invariance Principle for Nonuniformly Hyperbolic Maps. Communications in Mathematical Physics. 405(10). 2 indexed citations
3.
Dedecker, Jérôme, Florence Merlevède, & Emmanuel Rio. (2023). Quadratic transportation cost in the conditional central limit theorem for dependent sequences. arXiv (Cornell University). 6. 687–726. 3 indexed citations
4.
Dedecker, Jérôme, et al.. (2023). Strong Approximations for a Class of Dependent Random Variables with Semi-Exponential Tails. Journal of Theoretical Probability. 37(3). 2234–2252. 1 indexed citations
5.
Berthelot, Geoffroy, et al.. (2023). Transport collapse in dynamically evolving networks. Journal of The Royal Society Interface. 20(200). 20220906–20220906.
6.
Dedecker, Jérôme, et al.. (2020). Rates of convergence in invariance principles for random walks on linear groups via martingale methods. Transactions of the American Mathematical Society. 374(1). 137–174. 5 indexed citations
7.
Dedecker, Jérôme & Florence Merlevède. (2020). Almost sure invariance principle for the Kantorovich distance between the empirical and the marginal distributions of strong mixing sequences. Statistics & Probability Letters. 171. 108991–108991. 2 indexed citations
8.
Dedecker, Jérôme, et al.. (2019). Quantifying Collective Performance in Rugby Union. Frontiers in Sports and Active Living. 1. 44–44. 2 indexed citations
9.
Dedecker, Jérôme, et al.. (2019). Rates in almost sure invariance principle for slowly mixing dynamical systems. Ergodic Theory and Dynamical Systems. 40(9). 2317–2348. 13 indexed citations
10.
Dedecker, Jérôme, et al.. (2017). On the Komlós, Major and Tusnády strong approximation for some classes of random iterates. Stochastic Processes and their Applications. 128(4). 1347–1385. 13 indexed citations
11.
Dedecker, Jérôme & Florence Merlevède. (2015). Moment bounds for dependent sequences in smooth Banach spaces. Stochastic Processes and their Applications. 125(9). 3401–3429. 10 indexed citations
12.
Dedecker, Jérôme, et al.. (2014). Improved rates for Wasserstein deconvolution with ordinary smooth error\n in dimension one. arXiv (Cornell University). 2 indexed citations
13.
Dedecker, Jérôme & Xiequan Fan. (2014). Deviation inequalities for separately Lipschitz functionals of iterated random functions. Stochastic Processes and their Applications. 125(1). 60–90. 13 indexed citations
14.
Dedecker, Jérôme & Bertrand Michel. (2013). Minimax rates of convergence for Wasserstein deconvolution with supersmooth errors in any dimension. Journal of Multivariate Analysis. 122. 278–291. 8 indexed citations
15.
Comte, Fabienne, et al.. (2008). Adaptive density deconvolution with dependent inputs. Mathematical Methods of Statistics. 17(2). 87–112. 14 indexed citations
16.
Dedecker, Jérôme & Clémentine Prieur. (2006). An empirical central limit theorem for dependent sequences. Stochastic Processes and their Applications. 117(1). 121–142. 29 indexed citations
17.
Dedecker, Jérôme & Clémentine Prieur. (2004). Couplage pour la distance minimale. Comptes Rendus Mathématique. 338(10). 805–808. 5 indexed citations
18.
Dedecker, Jérôme & Florence Merlevède. (2003). The conditional central limit theorem in Hilbert spaces. Stochastic Processes and their Applications. 108(2). 229–262. 2 indexed citations
19.
Dedecker, Jérôme & Paul Doukhan. (2003). A new covariance inequality and applications. Stochastic Processes and their Applications. 106(1). 63–80. 77 indexed citations
20.
Dedecker, Jérôme & Florence Merlevède. (2003). The conditional central limit theorem in Hilbert spaces. Stochastic Processes and their Applications. 108(2). 229–262. 29 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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