Eva Löcherbach

646 total citations
41 papers, 224 citations indexed

About

Eva Löcherbach is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Finance. According to data from OpenAlex, Eva Löcherbach has authored 41 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mathematical Physics, 13 papers in Statistical and Nonlinear Physics and 12 papers in Finance. Recurrent topics in Eva Löcherbach's work include Stochastic processes and statistical mechanics (17 papers), Stochastic processes and financial applications (12 papers) and Neural dynamics and brain function (11 papers). Eva Löcherbach is often cited by papers focused on Stochastic processes and statistical mechanics (17 papers), Stochastic processes and financial applications (12 papers) and Neural dynamics and brain function (11 papers). Eva Löcherbach collaborates with scholars based in France, Germany and Denmark. Eva Löcherbach's co-authors include Reinhard Höpfner, Julien Chevallier, M. Thieullen, Pierre Monmarché, Marc Hoffmann, Enza Orlandi, Nicolas Fournier, Susanne Ditlevsen, Tilo Schwalger and Antonio Galves and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Computation and Journal of Statistical Physics.

In The Last Decade

Eva Löcherbach

38 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Löcherbach France 8 86 84 78 56 51 41 224
M. Thieullen France 7 56 0.7× 51 0.6× 34 0.4× 86 1.5× 33 0.6× 9 200
Larbi Alili United Kingdom 7 83 1.0× 123 1.5× 39 0.5× 46 0.8× 29 0.6× 16 230
Reinhard Höpfner Germany 11 150 1.7× 156 1.9× 167 2.1× 53 0.9× 23 0.5× 37 334
Étienne Tanré France 10 46 0.5× 66 0.8× 19 0.2× 93 1.7× 16 0.3× 22 236
L. M. Ricciardi Italy 7 60 0.7× 51 0.6× 30 0.4× 112 2.0× 83 1.6× 13 252
Vincent Lemaire France 7 13 0.2× 69 0.8× 30 0.4× 15 0.3× 28 0.5× 19 158
Andrey Pilipenko Ukraine 7 70 0.8× 85 1.0× 16 0.2× 11 0.2× 14 0.3× 42 168
Geon Ho Choe South Korea 7 51 0.6× 41 0.5× 10 0.1× 50 0.9× 8 0.2× 28 159
Brigitte Chauvin France 8 204 2.4× 56 0.7× 61 0.8× 26 0.5× 20 0.4× 15 245
Vladimir Belitsky Brazil 9 156 1.8× 14 0.2× 63 0.8× 70 1.3× 34 0.7× 28 260

Countries citing papers authored by Eva Löcherbach

Since Specialization
Citations

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

Fields of papers citing papers by Eva Löcherbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Löcherbach

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Löcherbach. A scholar is included among the top collaborators of Eva Löcherbach 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 Eva Löcherbach. Eva Löcherbach 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.
Löcherbach, Eva, et al.. (2025). Strong propagation of chaos for systems of interacting particles with nearly stable jumps. Electronic Journal of Probability. 30(none).
2.
Galves, Antonio, Eva Löcherbach, & Christophe Pouzat. (2024). Probabilistic Spiking Neuronal Nets. 3 indexed citations
3.
Löcherbach, Eva, et al.. (2023). On a Finite-Size Neuronal Population Equation. SIAM Journal on Applied Dynamical Systems. 22(2). 996–1029. 5 indexed citations
4.
Löcherbach, Eva, et al.. (2022). Limites en champ moyen de processus de Hawkes en interaction, en régime diffusif. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
5.
Löcherbach, Eva, et al.. (2021). Exponential ergodicity for diffusions with jumps driven by a Hawkes process. Theory of Probability and Mathematical Statistics. 102. 97–115. 3 indexed citations
6.
Löcherbach, Eva, et al.. (2021). Propagation du chaos conditionnelle pour des systèmes de neurones en interaction en champ moyen. SPIRE - Sciences Po Institutional REpository. 14 indexed citations
7.
Löcherbach, Eva, et al.. (2021). Mean field limits for interacting Hawkes processes in a diffusive regime. Bernoulli. 28(1). 1 indexed citations
8.
Löcherbach, Eva, et al.. (2020). Stability for Hawkes processes with inhibition. Project Euclid (Cornell University). 3 indexed citations
9.
Löcherbach, Eva & Pierre Monmarché. (2020). Metastability for systems of interacting neurons. arXiv (Cornell University). 5 indexed citations
10.
Löcherbach, Eva. (2017). Absolute continuity of the invariant measure in piecewise deterministic Markov Processes having degenerate jumps. Stochastic Processes and their Applications. 128(6). 1797–1829. 7 indexed citations
11.
Höpfner, Reinhard, Eva Löcherbach, & M. Thieullen. (2017). Strongly degenerate time inhomogeneous SDEs: Densities and support properties. Application to Hodgkin–Huxley type systems. Bernoulli. 23(4A). 7 indexed citations
12.
Löcherbach, Eva, et al.. (2016). Non-parametric estimation of the spiking rate in systems of interacting\n neurons. arXiv (Cornell University). 8 indexed citations
13.
Löcherbach, Eva, et al.. (2016). Stability and perfect simulation of non-linear Hawkes Processes with Erlang kernels. arXiv (Cornell University). 1 indexed citations
14.
Löcherbach, Eva, et al.. (2014). Spectral condition, hitting times and Nash inequality. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 50(4). 2 indexed citations
15.
Löcherbach, Eva & Enza Orlandi. (2011). Neighborhood radius estimation for variable-neighborhood random fields. Stochastic Processes and their Applications. 121(9). 2151–2185. 6 indexed citations
16.
Löcherbach, Eva, et al.. (2008). The law of iterated logarithm for additive functionals and martingale additive functionals of Harris recurrent Markov processes. Stochastic Processes and their Applications. 119(7). 2312–2335. 5 indexed citations
17.
Fournier, Nicolas & Eva Löcherbach. (2008). Stochastic coalescence with homogeneous-like interaction rates. Stochastic Processes and their Applications. 119(1). 45–73. 4 indexed citations
18.
Löcherbach, Eva, et al.. (2007). On Nummelin splitting for continuous time Harris recurrent Markov processes and application to kernel estimation for multi-dimensional diffusions. Stochastic Processes and their Applications. 118(8). 1301–1321. 12 indexed citations
19.
Löcherbach, Eva. (2003). Smoothness of the intensity measure density for interacting branching diffusions with immigrations. Journal of Functional Analysis. 215(1). 130–177. 1 indexed citations
20.
Höpfner, Reinhard & Eva Löcherbach. (2003). Limit theorems for null recurrent Markov processes. Memoirs of the American Mathematical Society. 161(768). 0–0. 32 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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