Jérôme Dedecker

2.5k citations
70 papers · 1.2k · h-index 16

Impact in

Papers in

    • Mathematical Dynamics and Fractals 33
    • Stochastic processes and statistical mechanics 27
    • advanced mathematical theories 6
    • Statistical Methods and Inference 7
    • Markov Chains and Monte Carlo Methods 7

Jérôme Dedecker

67 papers receiving 1.1k citations

Peers

Jérôme Dedecker
Comparison fields: 5 of 75
  • Mathematical Physics 579
  • Statistics and Probability 513
  • Finance 521
  • Management Science and Operations Research 275
  • Applied Mathematics 151
Replace Emmanuel Rio with:
Emmanuel Rio France
Magda Peligrad United States
Florence Merlevède France
Ivan Nourdin France
S. V. Nagaev Russia
Pál Révész Hungary
Mikhail Lifshits Russia
Makoto Maejima Japan
Włodzimierz Bryc United States
V. Bentkus Lithuania
Jérôme Dedecker relative to Emmanuel Rio France Emmanuel Rio's profile →
Citations per field
00.5×1.5×
Emmanuel Rio · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jérôme Dedecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jérôme Dedecker Line = papers co-authored together Jérôme Dedecker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000210
2 2007184
3 200498
4 200377
5 199857
6 200446
7 200242
8 200134
9 200629
10 200329
11 200729
12 201022
13 200917
14 201116
15 201516
16 200815
17 200814
18 201114
19 201413
20 201913

About Jérôme Dedecker

Jérôme Dedecker is a scholar working on Mathematical Physics, Statistics and Probability, Finance, Management Science and Operations Research and Applied Mathematics, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (33 papers), Stochastic processes and statistical mechanics (27 papers), Stochastic processes and financial applications (19 papers), Probability and Risk Models (18 papers), Statistical Methods and Inference (7 papers), Markov Chains and Monte Carlo Methods (7 papers), Financial Risk and Volatility Modeling (6 papers) and advanced mathematical theories (6 papers). The work is most often cited by research in Mathematical Physics (579 citations), Statistics and Probability (513 citations), Finance (521 citations), Management Science and Operations Research (275 citations) and Applied Mathematics (151 citations). Jérôme Dedecker has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Florence Merlevède, Clémentine Prieur, Paul Doukhan, Sana Louhichi, Gabriel Lang, José R. León, Sébastien Gouëzel, Emmanuel Rio, Magda Peligrad and Dalibor Volný. Their work appears in journals such as Stochastic Processes and their Applications, Stochastics and Dynamics, Annales de l Institut Henri Poincaré Probabilités et Statistiques, Comptes Rendus Mathématique and Electronic Journal of Probability.

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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