Matthieu Landès

1.8k total citations
31 papers, 1.3k citations indexed

About

Matthieu Landès is a scholar working on Geophysics, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Matthieu Landès has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Geophysics, 16 papers in Artificial Intelligence and 4 papers in Ocean Engineering. Recurrent topics in Matthieu Landès's work include Seismic Waves and Analysis (18 papers), Seismology and Earthquake Studies (16 papers) and Seismic Imaging and Inversion Techniques (13 papers). Matthieu Landès is often cited by papers focused on Seismic Waves and Analysis (18 papers), Seismology and Earthquake Studies (16 papers) and Seismic Imaging and Inversion Techniques (13 papers). Matthieu Landès collaborates with scholars based in France, United States and Russia. Matthieu Landès's co-authors include Н. М. Шапиро, Aurélien Mordret, Michel Campillo, Philippe Roux, S. C. Singh, Alexis Le Pichon, Anne Paul, Rémy Bossu, Robin S. Matoza and K. Jaxybulatov and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Matthieu Landès

31 papers receiving 1.3k citations

Peers

Matthieu Landès

GEOPH

OCEAN

SPS

Istvan Bondár Hungary

Koshun Yamaoka Japan

James W. Dewey United States

Г. А. Соболев Russia

Yukio Fujinawa Japan

N. van der Elst United States

Yun-Tai Chen China

A. Baltay United States

Jaime Campos Chile

Lisa Grant Ludwig United States

Istvan Bondár Hungary

Matthieu Landès

1.5k ×1.3

GEOPH

384 ×0.8

48 ×0.3

43 ×0.5

OCEAN

27 ×0.4

SPS

Citations per year, relative to Matthieu Landès Matthieu Landès (= 1×) peers Istvan Bondár

Countries citing papers authored by Matthieu Landès

Since Specialization

Citations

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

Fields of papers citing papers by Matthieu Landès

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Landès

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

All Works

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20 of 20 papers shown

Bossu, Rémy, Fabrice Cotton, Francesco Finazzi, et al.. (2023). Utilization of Crowdsourced Felt Reports to Distinguish High-Impact from Low-Impact Earthquakes Globally within Minutes of an Event. SHILAP Revista de lepidopterología. 3(1). 29–36. 5 indexed citations

Contreras, Diana, Sean Wilkinson, Yasemin D. Aktaş, et al.. (2022). Intensity-Based Sentiment and Topic Analysis. The Case of the 2020 Aegean Earthquake. Frontiers in Built Environment. 8. 8 indexed citations

Contreras, Diana, Sean Wilkinson, Laure Fallou, et al.. (2021). ASSESSING EMERGENCY RESPONSE AND EARLY RECOVERY USING SENTIMENT ANALYSIS. THE CASE OF ZAGREB, CROATIA. ORCA Online Research @Cardiff (Cardiff University). 743–752. 2 indexed citations

Martin, S., et al.. (2021). When Punjab Cried Wolf: How a Rumor Triggered an “Earthquake” in India. Seismological Research Letters. 92(6). 3887–3898. 2 indexed citations

Retailleau, Lise, Matthieu Landès, Lucia Gualtieri, et al.. (2017). Detection and analysis of a transient energy burst with beamforming of multiple teleseismic phases. Geophysical Journal International. 212(1). 14–24. 11 indexed citations

Seydoux, Léonard, Н. М. Шапиро, Julien de Rosny, & Matthieu Landès. (2016). Spatial coherence of the seismic wavefield continuously recorded by the USArray. Geophysical Research Letters. 43(18). 9644–9652. 19 indexed citations

Bossu, Rémy, Matthieu Landès, Robert Steed, et al.. (2016). Thumbnail‐Based Questionnaires for the Rapid and Efficient Collection of Macroseismic Data from Global Earthquakes. Seismological Research Letters. 88(1). 72–81. 35 indexed citations

Seydoux, Léonard, Н. М. Шапиро, Julien de Rosny, Florent Brenguier, & Matthieu Landès. (2016). Detecting seismic activity with a covariance matrix analysis of data recorded on seismic arrays. Geophysical Journal International. 204(3). 1430–1442. 53 indexed citations

Seydoux, Léonard, Н. М. Шапиро, Julien de Rosny, & Matthieu Landès. (2015). A Spatial Coherence Analysis of Seismic Wavefields Based on Array Covariance Matrix : Application to One Year of the USArray Data. AGUFM. 2015. 1 indexed citations

10.

Mordret, Aurélien, Diane Rivet, Matthieu Landès, & Н. М. Шапиро. (2014). Three‐dimensional shear velocity anisotropic model of Piton de la Fournaise Volcano (La Réunion Island) from ambient seismic noise. Journal of Geophysical Research Solid Earth. 120(1). 406–427. 91 indexed citations

11.

Jaxybulatov, K., Н. М. Шапиро, Iván Koulakov, et al.. (2014). A large magmatic sill complex beneath the Toba caldera. Science. 346(6209). 617–619. 159 indexed citations

12.

Landès, Matthieu, Alexis Le Pichon, Н. М. Шапиро, Gregor Hillers, & Michel Campillo. (2014). Explaining global patterns of microbarom observations with wave action models. Geophysical Journal International. 199(3). 1328–1337. 23 indexed citations

13.

Mordret, Aurélien, Matthieu Landès, Н. М. Шапиро, S. C. Singh, & Philippe Roux. (2014). Ambient noise surface wave tomography to determine the shallow shear velocity structure at Valhall: depth inversion with a Neighbourhood Algorithm. Geophysical Journal International. 198(3). 1514–1525. 85 indexed citations

14.

Mordret, Aurélien, Matthieu Landès, Н. М. Шапиро, et al.. (2013). Near-surface study at the Valhall oil field from ambient noise surface wave tomography. Geophysical Journal International. 193(3). 1627–1643. 128 indexed citations

15.

Matoza, Robin S., Matthieu Landès, Alexis Le Pichon, Lars Ceranna, & David Brown. (2012). Coherent ambient infrasound recorded by the International Monitoring System. Geophysical Research Letters. 40(2). 429–433. 61 indexed citations

16.

Lalande, Jean‐Marie, Matthieu Landès, Ph. Blanc–Benon, et al.. (2012). Infrasound data inversion for atmospheric sounding. Geophysical Journal International. 190(1). 687–701. 37 indexed citations

17.

Landès, Matthieu, Lars Ceranna, Alexis Le Pichon, & Robin S. Matoza. (2012). Localization of microbarom sources using the IMS infrasound network. Journal of Geophysical Research Atmospheres. 117(D6). 52 indexed citations

18.

Hillers, Gregor, Nicholas E. Graham, Michel Campillo, et al.. (2011). Global oceanic microseism sources as seen by seismic arrays and predicted by wave action models. Geochemistry Geophysics Geosystems. 13(1). 80 indexed citations

19.

Landès, Matthieu, et al.. (2009). Studying shallow seafloor structure based on correlations of continuous seismic records. 1693–1697. 7 indexed citations

20.

Landès, Matthieu, et al.. (2008). Studying the origin of deep ocean microseisms using teleseismic body waves. AGU Fall Meeting Abstracts. 2008. 3 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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