Sylvain Marsat

18.3k total citations · 1 hit paper
37 papers, 1.8k citations indexed

About

Sylvain Marsat is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Sylvain Marsat has authored 37 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Astronomy and Astrophysics, 14 papers in Nuclear and High Energy Physics and 2 papers in Oceanography. Recurrent topics in Sylvain Marsat's work include Pulsars and Gravitational Waves Research (34 papers), Astrophysical Phenomena and Observations (15 papers) and Gamma-ray bursts and supernovae (15 papers). Sylvain Marsat is often cited by papers focused on Pulsars and Gravitational Waves Research (34 papers), Astrophysical Phenomena and Observations (15 papers) and Gamma-ray bursts and supernovae (15 papers). Sylvain Marsat collaborates with scholars based in France, Germany and United States. Sylvain Marsat's co-authors include Luc Blanchet, A. Bohé, Guillaume Faye, M. Pürrer, Laura Bernard, S. Babak, R. Cotesta, Alessandra Buonanno, T. Dal Canton and John G. Baker and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Physics Letters B.

In The Last Decade

Sylvain Marsat

37 papers receiving 1.7k citations

Hit Papers

Multipolar effective-one-body waveforms for precessing bi... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvain Marsat France 23 1.7k 538 216 182 104 37 1.8k
Serguei Ossokine United States 17 1.6k 1.0× 377 0.7× 319 1.5× 200 1.1× 112 1.1× 21 1.7k
S. Babak France 20 1.9k 1.1× 482 0.9× 221 1.0× 220 1.2× 94 0.9× 37 2.0k
Daniel A. Hemberger United States 16 1.7k 1.0× 454 0.8× 320 1.5× 171 0.9× 144 1.4× 21 1.8k
C. P. L. Berry United Kingdom 24 2.4k 1.4× 686 1.3× 177 0.8× 211 1.2× 77 0.7× 48 2.5k
Xisco Jiménez Forteza Germany 11 1.6k 0.9× 388 0.7× 269 1.2× 228 1.3× 91 0.9× 13 1.6k
Geoffrey Lovelace United States 23 2.2k 1.3× 759 1.4× 316 1.5× 195 1.1× 183 1.8× 39 2.3k
Shubhanshu Tiwari Switzerland 15 1.5k 0.9× 319 0.6× 291 1.3× 180 1.0× 80 0.8× 31 1.6k
C.‐J. Haster United States 24 1.8k 1.1× 271 0.5× 295 1.4× 237 1.3× 77 0.7× 39 1.9k
Antoine Klein United States 29 2.6k 1.5× 857 1.6× 223 1.0× 252 1.4× 125 1.2× 48 2.7k
G. Pratten United Kingdom 23 2.1k 1.3× 421 0.8× 392 1.8× 292 1.6× 142 1.4× 52 2.2k

Countries citing papers authored by Sylvain Marsat

Since Specialization
Citations

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

Fields of papers citing papers by Sylvain Marsat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvain Marsat

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvain Marsat. A scholar is included among the top collaborators of Sylvain Marsat 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 Sylvain Marsat. Sylvain Marsat 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.
Babak, S., et al.. (2025). Modular global-fit pipeline for LISA data analysis. Physical review. D. 111(10). 10 indexed citations
3.
Braglia, Matteo, Mauro Pieroni, & Sylvain Marsat. (2024). Impact of a primordial gravitational wave background on LISA resolvable sources. Physical review. D. 110(8). 3 indexed citations
4.
Muttoni, Niccolò, D. Laghi, Nicola Tamanini, Sylvain Marsat, & David Izquierdo–Villalba. (2023). Dark siren cosmology with binary black holes in the era of third-generation gravitational wave detectors. Physical review. D. 108(4). 26 indexed citations
5.
Piro, L., M. Colpi, James Aird, et al.. (2023). Chasing supermassive black hole merging events withAthenaandLISA. Monthly Notices of the Royal Astronomical Society. 521(2). 2577–2592. 17 indexed citations
6.
Baghi, Quentin, et al.. (2023). Detectability of higher harmonics with LISA. Physical review. D. 108(4). 17 indexed citations
8.
Sberna, Laura, S. Babak, Sylvain Marsat, et al.. (2022). Observing GW190521-like binary black holes and their environment with LISA. BOA (University of Milano-Bicocca). 42 indexed citations
9.
Henry, Quentin, Sylvain Marsat, & Mohammed Khalil. (2022). Spin contributions to the gravitational-waveform modes for spin-aligned binaries at the 3.5PN order. Physical review. D. 106(12). 22 indexed citations
10.
Mangiagli, Alberto, Chiara Caprini, Marta Volonteri, et al.. (2022). Cosmology with massive black hole binary mergers in the LISA era.. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 125–125. 2 indexed citations
11.
Toubiana, Alexandre, S. Babak, Sylvain Marsat, & Serguei Ossokine. (2022). Detectability and parameter estimation of GWTC-3 events with LISA. Physical review. D. 106(10). 12 indexed citations
12.
Toubiana, Alexandre, Laura Sberna, Andrea Caputo, et al.. (2021). Detectable Environmental Effects in GW190521-like Black-Hole Binaries with LISA. Physical Review Letters. 126(10). 101105–101105. 52 indexed citations
13.
Toubiana, Alexandre, Kaze W. K. Wong, S. Babak, et al.. (2021). Discriminating between different scenarios for the formation and evolution of massive black holes with LISA. arXiv (Cornell University). 15 indexed citations
14.
Katz, Michael L., Sylvain Marsat, Alvin J. K. Chua, S. Babak, & Shane L. Larson. (2020). GPU-accelerated massive black hole binary parameter estimation with LISA. Physical review. D. 102(2). 40 indexed citations
15.
Mangiagli, Alberto, Antoine Klein, Matteo Bonetti, et al.. (2020). Observing the inspiral of coalescing massive black hole binaries with LISA in the era of multimessenger astrophysics. Physical review. D. 102(8). 46 indexed citations
16.
Marsat, Sylvain. (2015). Cubic-order spin effects in the dynamics and gravitational wave energy flux of compact object binaries. Classical and Quantum Gravity. 32(8). 85008–85008. 76 indexed citations
17.
Marsat, Sylvain, A. Bohé, Guillaume Faye, & Luc Blanchet. (2013). Next-to-next-to-leading order spin–orbit effects in the equations of motion of compact binary systems. Classical and Quantum Gravity. 30(5). 55007–55007. 74 indexed citations
18.
Bohé, A., Sylvain Marsat, & Luc Blanchet. (2013). Next-to-next-to-leading order spin–orbit effects in the gravitational wave flux and orbital phasing of compact binaries. Classical and Quantum Gravity. 30(13). 135009–135009. 109 indexed citations
19.
Marsat, Sylvain, A. Bohé, Luc Blanchet, & Alessandra Buonanno. (2013). Next-to-leading tail-induced spin–orbit effects in the gravitational radiation flux of compact binaries. Classical and Quantum Gravity. 31(2). 25023–25023. 42 indexed citations
20.
Blanchet, Luc & Sylvain Marsat. (2011). Modified gravity approach based on a preferred time foliation. Physical review. D. Particles, fields, gravitation, and cosmology. 84(4). 33 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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