Mathieu Galtier

1.7k total citations · 1 hit paper
40 papers, 831 citations indexed

About

Mathieu Galtier is a scholar working on Computational Mechanics, Cognitive Neuroscience and Global and Planetary Change. According to data from OpenAlex, Mathieu Galtier has authored 40 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 11 papers in Cognitive Neuroscience and 11 papers in Global and Planetary Change. Recurrent topics in Mathieu Galtier's work include Radiative Heat Transfer Studies (17 papers), Neural dynamics and brain function (8 papers) and Atmospheric chemistry and aerosols (7 papers). Mathieu Galtier is often cited by papers focused on Radiative Heat Transfer Studies (17 papers), Neural dynamics and brain function (8 papers) and Atmospheric chemistry and aerosols (7 papers). Mathieu Galtier collaborates with scholars based in France, Germany and United States. Mathieu Galtier's co-authors include Gilles Wainrib, Stanislas Chambon, Pierrick J. Arnal, Alexandre Gramfort, Frédéric André, Mouna El-Hafi, Eden Debellemanière, Stéphane Blanco, Jérémi Dauchet and Mounir Chennaoui and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Mathieu Galtier

38 papers receiving 808 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A deep learning architecture for temporal sleep stage classification\n using multivariate and multimodal time series

2017 433 citations Stanislas Chambon, Mathieu Galtier et al. arXiv (Cornell University) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathieu Galtier France	12	447	148	146	128	102	40	831
Ankit Parekh United States	17	308 0.7×	180 1.2×	130 0.9×	284 2.2×	69 0.7×	51	961
Shu Zhang China	24	1.1k 2.4×	87 0.6×	63 0.4×	19 0.1×	114 1.1×	124	1.8k
Alice Kozakevicius Brazil	10	183 0.4×	110 0.7×	113 0.8×	21 0.2×	57 0.6×	29	494
Yisheng Zhu China	18	671 1.5×	90 0.6×	17 0.1×	56 0.4×	110 1.1×	125	1.4k
Junming Zhang China	14	200 0.4×	61 0.4×	24 0.2×	48 0.4×	73 0.7×	43	560
Tohid Yousefi Rezaii Iran	16	405 0.9×	179 1.2×	86 0.6×	19 0.1×	152 1.5×	57	762
Babak Mohammadzadeh Asl Iran	21	531 1.2×	122 0.8×	27 0.2×	198 1.5×	245 2.4×	85	1.9k
A. El-Jaroudi United States	14	148 0.3×	89 0.6×	109 0.7×	89 0.7×	518 5.1×	75	954
Udo Meyerfeldt Germany	16	304 0.7×	72 0.5×	60 0.4×	32 0.3×	113 1.1×	27	1.7k
Chien-Hung Yeh China	18	418 0.9×	54 0.4×	19 0.1×	50 0.4×	108 1.1×	63	1.2k

Countries citing papers authored by Mathieu Galtier

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Galtier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Galtier

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Galtier. A scholar is included among the top collaborators of Mathieu Galtier 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 Mathieu Galtier. Mathieu Galtier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Soriano, Julie, Auline Rodler, Jean-Claude Krapez, et al.. (2025). Qualification of microclimate models and simulation tools: An academic benchmark. Building and Environment. 278. 112913–112913. 1 indexed citations

Galtier, Mathieu, et al.. (2024). Impact of spectral coupling between urban atmosphere and sky boundary conditions in a street canyon. Journal of Quantitative Spectroscopy and Radiative Transfer. 326. 109107–109107. 2 indexed citations

André, Frédéric, et al.. (2024). Computationally efficient and accurate modelling of transmissivities of non-uniform paths through the mixture L-distribution (MLD) approach. AIP conference proceedings. 2988. 30001–30001. 1 indexed citations

André, Frédéric, et al.. (2024). Bridging physics and statistical learning methodologies for the accurate modeling of the radiative properties of non-uniform atmospheric paths. Journal of Quantitative Spectroscopy and Radiative Transfer. 320. 108961–108961. 1 indexed citations

Galtier, Mathieu, et al.. (2023). IMPACT OF THE SPECTRAL COUPLING BETWEEN NON-GRAY SKY BOUNDARY CONDITIONS AND A URBAN ATMOSPHERE IN THE CALCULATION OF NET FLUXES IN A STREET CANYON. SPIRE - Sciences Po Institutional REpository. 323–330. 1 indexed citations

André, Frédéric, et al.. (2023). BRIDGING PHYSICS AND STATISTICAL LEARNING METHODOLOGIES FOR THE ACCURATE MODELING OF THE RADIATIVE PROPERTIES OF NON-UNIFORM ATMOSPHERIC PATHS. SPIRE - Sciences Po Institutional REpository. 299–306.

Debellemanière, Eden, Jules Schneider, Pierrick J. Arnal, et al.. (2022). Optimising sounds for the driving of sleep oscillations by closed‐loop auditory stimulation. Journal of Sleep Research. 31(6). e13676–e13676. 10 indexed citations

El-Hafi, Mouna, Stéphane Blanco, Jérémi Dauchet, et al.. (2020). Three viewpoints on null-collision Monte Carlo algorithms. Journal of Quantitative Spectroscopy and Radiative Transfer. 260. 107402–107402. 14 indexed citations

Dauchet, Jérémi, Jean-Jacques Bézian, Stéphane Blanco, et al.. (2018). Addressing nonlinearities in Monte Carlo. Scientific Reports. 8(1). 13302–13302. 14 indexed citations

10.

Debellemanière, Eden, Stanislas Chambon, Valentin Thorey, et al.. (2018). Performance of an Ambulatory Dry-EEG Device for Auditory Closed-Loop Stimulation of Sleep Slow Oscillations in the Home Environment. Frontiers in Human Neuroscience. 12. 88–88. 77 indexed citations

11.

El-Hafi, Mouna, Stéphane Blanco, Jérémi Dauchet, et al.. (2018). Three viewpoints on null-collision monte carlo algorithms. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

12.

Veltz, Romain, et al.. (2018). Dendritic sodium spikes endow neurons with inverse firing rate response to correlated synaptic activity. Journal of Computational Neuroscience. 45(3). 223–234. 6 indexed citations

13.

Chambon, Stanislas, Mathieu Galtier, Pierrick J. Arnal, Gilles Wainrib, & Alexandre Gramfort. (2017). A deep learning architecture for temporal sleep stage classification\n using multivariate and multimodal time series. arXiv (Cornell University). 433 indexed citations breakdown →

14.

Wainrib, Gilles & Mathieu Galtier. (2016). A local Echo State Property through the largest Lyapunov exponent. Neural Networks. 76. 39–45. 35 indexed citations

15.

Bellec, Guillaume, Mathieu Galtier, Romain Brette, & Pierre Yger. (2016). Slow feature analysis with spiking neurons and its application to audio stimuli. Journal of Computational Neuroscience. 40(3). 317–329. 2 indexed citations

16.

André, Frédéric & Mathieu Galtier. (2015). On the use of polynomial chaos expansions and generalized moments within the frame of gas radiation in non-uniform media. Journal of Quantitative Spectroscopy and Radiative Transfer. 164. 184–192. 2 indexed citations

17.

Galtier, Mathieu, Camille Marini, Gilles Wainrib, & Herbert Jaeger. (2014). Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes. Neural Networks. 56. 10–21. 1 indexed citations

18.

Galtier, Mathieu & Jonathan Touboul. (2013). Macroscopic Equations Governing Noisy Spiking Neuronal Populations with Linear Synapses. PLoS ONE. 8(11). e78917–e78917. 3 indexed citations

19.

Galtier, Mathieu & Gilles Wainrib. (2012). Multiscale analysis of slow-fast neuronal learning models with noise. PubMed. 2(1). 13–13. 14 indexed citations

20.

Galtier, Mathieu & Jonathan Touboul. (2012). On an explicit representation of the solution of linear stochastic partial differential equations with delays. Comptes Rendus Mathématique. 350(3-4). 167–172. 1 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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