E. Chassande‐Mottin

86.9k total citations
33 papers, 688 citations indexed

About

E. Chassande‐Mottin is a scholar working on Astronomy and Astrophysics, Geophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, E. Chassande‐Mottin has authored 33 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Astronomy and Astrophysics, 10 papers in Geophysics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in E. Chassande‐Mottin's work include Pulsars and Gravitational Waves Research (19 papers), Gamma-ray bursts and supernovae (10 papers) and Image and Signal Denoising Methods (7 papers). E. Chassande‐Mottin is often cited by papers focused on Pulsars and Gravitational Waves Research (19 papers), Gamma-ray bursts and supernovae (10 papers) and Image and Signal Denoising Methods (7 papers). E. Chassande‐Mottin collaborates with scholars based in France, Italy and Germany. E. Chassande‐Mottin's co-authors include Patrick Flandrin, François Auger, Archana Pai, D. A. Steer, S. Mastrogiovanni, M. Barsuglia, B. F. Whiting, J. Harms, Christos Karathanasis and Jean‐Paul Montagner and has published in prestigious journals such as Nature Communications, Geophysical Journal International and Astronomy and Astrophysics.

In The Last Decade

E. Chassande‐Mottin

32 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Chassande‐Mottin France 15 309 146 106 103 91 33 688
Gordon J. Frazer Australia 20 165 0.5× 72 0.5× 47 0.4× 31 0.3× 188 2.1× 75 1.2k
C. de Villedary France 11 863 2.8× 420 2.9× 192 1.8× 121 1.2× 45 0.5× 16 1.2k
Sofia Suvorova Australia 15 189 0.6× 56 0.4× 33 0.3× 57 0.6× 169 1.9× 62 681
S. Mitra India 15 509 1.6× 82 0.6× 22 0.2× 31 0.3× 117 1.3× 41 925
Y. Moudden France 13 104 0.3× 28 0.2× 65 0.6× 438 4.3× 23 0.3× 34 862
A. J. Van Dierendonck United States 18 750 2.4× 144 1.0× 30 0.3× 32 0.3× 469 5.2× 69 2.0k
F. Acernese Italy 14 514 1.7× 301 2.1× 8 0.1× 17 0.2× 88 1.0× 89 866
Lev Rapoport Russia 10 277 0.9× 47 0.3× 222 2.1× 117 1.1× 406 4.5× 48 1.1k
F. Barone Italy 14 176 0.6× 227 1.6× 11 0.1× 26 0.3× 30 0.3× 153 677
Frank van Graas United States 20 281 0.9× 18 0.1× 66 0.6× 46 0.4× 234 2.6× 157 1.4k

Countries citing papers authored by E. Chassande‐Mottin

Since Specialization
Citations

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

Fields of papers citing papers by E. Chassande‐Mottin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Chassande‐Mottin. 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 E. Chassande‐Mottin. The network helps show where E. Chassande‐Mottin may publish in the future.

Co-authorship network of co-authors of E. Chassande‐Mottin

This figure shows the co-authorship network connecting the top 25 collaborators of E. Chassande‐Mottin. A scholar is included among the top collaborators of E. Chassande‐Mottin 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 E. Chassande‐Mottin. E. Chassande‐Mottin 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.
Trovato, A., E. Chassande‐Mottin, M. Bejger, Rémi Flamary, & Nicolas Courty. (2024). Neural network time-series classifiers for gravitational-wave searches in single-detector periods. Classical and Quantum Gravity. 41(12). 125003–125003. 4 indexed citations
2.
Mastrogiovanni, S., K. Leyde, Christos Karathanasis, et al.. (2022). Cosmology in the dark: How compact binaries formation impact the gravitational-waves cosmological measurements. arXiv (Cornell University). 98–98. 4 indexed citations
3.
García, Federico, et al.. (2022). Constraints to neutron-star kicks in high-mass X-ray binaries withGaiaEDR3. Astronomy and Astrophysics. 665. A31–A31. 16 indexed citations
4.
Mastrogiovanni, S., K. Leyde, Christos Karathanasis, et al.. (2021). On the importance of source population models for gravitational-wave cosmology. Physical review. D. 104(6). 82 indexed citations
5.
Mastrogiovanni, S., et al.. (2021). The potential role of binary neutron star merger afterglows in multimessenger cosmology. Astronomy and Astrophysics. 652. A1–A1. 11 indexed citations
6.
Gayathri, V., P. Bacon, A. Pai, et al.. (2019). Astrophysical signal consistency test adapted for gravitational-wave transient searches. Physical review. D. 100(12). 5 indexed citations
7.
Ampuero, Jean‐Paul, M. Barsuglia, Pascal Bernard, et al.. (2018). Earthquake Early Warning Using Future Generation Gravity Strainmeters. Journal of Geophysical Research Solid Earth. 123(12). 22 indexed citations
8.
Bacon, P., V. Gayathri, E. Chassande‐Mottin, et al.. (2018). Driving unmodeled gravitational-wave transient searches using astrophysical information. Physical review. D. 98(2). 4 indexed citations
9.
Ghirlanda, G., O. S. Salafia, A. Pescalli, et al.. (2016). Short gamma-ray bursts at the dawn of the gravitational wave era. Springer Link (Chiba Institute of Technology). 77 indexed citations
10.
Montagner, Jean‐Paul, M. Barsuglia, Jean‐Paul Ampuero, et al.. (2016). Prompt gravity signal induced by the 2011 Tohoku-Oki earthquake. Nature Communications. 7(1). 13349–13349. 63 indexed citations
11.
Harms, J., Jean‐Paul Ampuero, M. Barsuglia, et al.. (2015). Transient gravity perturbations induced by earthquake rupture. Geophysical Journal International. 201(3). 1416–1425. 47 indexed citations
12.
Auger, François, E. Chassande‐Mottin, & Patrick Flandrin. (2012). Making reassignment adjustable: The Levenberg-Marquardt approach. HAL (Le Centre pour la Communication Scientifique Directe). 3889–3892. 30 indexed citations
13.
Auger, François, E. Chassande‐Mottin, & Patrick Flandrin. (2012). Uncertainty And Spectrogram Geometry. Zenodo (CERN European Organization for Nuclear Research). 794–798. 1 indexed citations
14.
Chassande‐Mottin, E.. (2010). Joint searches for gravitational waves and high-energy neutrinos. Journal of Physics Conference Series. 243. 12002–12002. 4 indexed citations
15.
Chassande‐Mottin, E. & Archana Pai. (2005). Discrete time and frequency Wigner-Ville distribution: Moyal's formula and aliasing. IEEE Signal Processing Letters. 12(7). 508–511. 31 indexed citations
16.
Chassande‐Mottin, E. & Patrick Flandrin. (2002). On the stationary phase approximation of chirp spectra. 117–120. 14 indexed citations
17.
Chassande‐Mottin, E. & Patrick Flandrin. (1999). On the Time–Frequency Detection of Chirps1. Applied and Computational Harmonic Analysis. 6(2). 252–281. 49 indexed citations
18.
Chassande‐Mottin, E., Patrick Flandrin, & François Auger. (1998). On the Statistics of Spectrogram Reassignment Vectors. Multidimensional Systems and Signal Processing. 9(4). 355–362. 15 indexed citations
19.
Chassande‐Mottin, E., Ingrid Daubechies, François Auger, & Patrick Flandrin. (1997). Differential reassignment. IEEE Signal Processing Letters. 4(10). 293–294. 47 indexed citations
20.
Flandrin, Patrick, E. Chassande‐Mottin, & Patrice Abry. (1995). <title>Reassigned scalograms and their fast algorithms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2569. 152–163. 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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