Loı̈c Hervé

673 citations
33 papers · 389 · h-index 9

Impact in

Papers in

Loı̈c Hervé

31 papers receiving 364 citations

Peers

Loı̈c Hervé
Comparison fields: 5 of 38
  • Mathematical Physics 272
  • Statistics and Probability 134
  • Applied Mathematics 81
  • Statistical and Nonlinear Physics 52
  • Finance 36
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Nathan Ross Australia
Onno van Gaans Netherlands
Donald L. Cohn United States
Gady Kozma Israel
Irina Shevtsova Russia
Radosław Adamczak Poland
Eddy Mayer-Wolf Israel
Heinrich von Weizsäcker Germany
Radu Miculescu Romania
Ravi Montenegro United States
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Citations per field
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Citations per year

Countries citing papers authored by Loı̈c Hervé

Since Specialization
Citations

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

Fields of papers citing papers by Loı̈c Hervé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Loı̈c Hervé, 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 Loı̈c Hervé Line = papers co-authored together Loı̈c Hervé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001166
2 199446
3 201032
4 199524
5 201317
6 201314
7 201212
8
Étude d'opérateurs quasi-compacts positifs. Applications aux opérateurs de transfert
199410
9 201210
10 20137
11 20086
12 20105
13 20214
14
The Nagaev method via the Keller-Liverani theorem
20093
15 20143
16 20223
17 20123
18 20233
19 20232
20 20132

About Loı̈c Hervé

Loı̈c Hervé is a scholar working on Mathematical Physics, Statistics and Probability, Applied Mathematics, Computational Theory and Mathematics and Numerical Analysis, having authored 33 papers that have together received 389 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (19 papers), Stochastic processes and statistical mechanics (17 papers), Mathematical Dynamics and Fractals (13 papers), Advanced Mathematical Modeling in Engineering (5 papers), Stochastic processes and financial applications (3 papers), Bayesian Methods and Mixture Models (3 papers), Point processes and geometric inequalities (2 papers) and Mathematical Approximation and Integration (2 papers). The work is most often cited by research in Mathematical Physics (272 citations), Statistics and Probability (134 citations), Applied Mathematics (81 citations), Statistical and Nonlinear Physics (52 citations) and Finance (36 citations). Loı̈c Hervé has collaborated with scholars based in France. Frequent co-authors include Hubert Hennion, James Ledoux, Françoise Pène, Marc Briane and Sana Louhichi. Their work appears in journals such as Journal of Applied Probability, Bernoulli, Annales de l Institut Henri Poincaré Probabilités et Statistiques, Advances in Applied Probability and Potential Analysis.

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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