V. Raymond

91.9k total citations · 2 hit papers
35 papers, 2.0k citations indexed

About

V. Raymond is a scholar working on Astronomy and Astrophysics, Oceanography and Geophysics. According to data from OpenAlex, V. Raymond has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Astronomy and Astrophysics, 9 papers in Oceanography and 4 papers in Geophysics. Recurrent topics in V. Raymond's work include Pulsars and Gravitational Waves Research (33 papers), Gamma-ray bursts and supernovae (20 papers) and Astrophysical Phenomena and Observations (12 papers). V. Raymond is often cited by papers focused on Pulsars and Gravitational Waves Research (33 papers), Gamma-ray bursts and supernovae (20 papers) and Astrophysical Phenomena and Observations (12 papers). V. Raymond collaborates with scholars based in United Kingdom, United States and Germany. V. Raymond's co-authors include Alessandra Buonanno, B. Farr, Ilya Mandel, J. Veitch, R. J. E. Smith, M. Pürrer, S. Vitale, T. B. Littenberg, Marc van der Sluys and Richard Brito and has published in prestigious journals such as Nature, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

V. Raymond

34 papers receiving 2.0k 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.

Improved effective-one-body model of spinning, nonprecessing binary black holes for the era of gravitational-wave astrophysics with advanced detectors

2017 409 citations Alessandra Buonanno, M. Pürrer et al. Physical review. D profile →
PyCBC Inference: A Python-based Parameter Estimation Toolkit for Compact Binary Coalescence Signals

2019 183 citations V. Raymond et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Raymond United Kingdom	23	2.0k	430	385	322	137	35	2.0k
T. B. Littenberg United States	25	1.8k 0.9×	419 1.0×	388 1.0×	233 0.7×	76 0.6×	53	1.9k
P. D. Lasky Australia	31	2.6k 1.3×	455 1.1×	295 0.8×	658 2.0×	144 1.1×	103	2.6k
A. Vecchio United Kingdom	31	2.9k 1.4×	392 0.9×	476 1.2×	453 1.4×	167 1.2×	86	3.0k
S. Babak France	20	1.9k 1.0×	221 0.5×	220 0.6×	482 1.5×	94 0.7×	37	2.0k
A. Nitz Germany	26	2.0k 1.0×	383 0.9×	253 0.7×	356 1.1×	98 0.7×	55	2.0k
Shubhanshu Tiwari Switzerland	15	1.5k 0.8×	291 0.7×	180 0.5×	319 1.0×	80 0.6×	31	1.6k
C. Messenger United Kingdom	22	1.5k 0.8×	295 0.7×	230 0.6×	211 0.7×	69 0.5×	65	1.6k
E. Thrane Australia	33	3.3k 1.6×	438 1.0×	428 1.1×	838 2.6×	155 1.1×	109	3.4k
G. Pratten United Kingdom	23	2.1k 1.1×	392 0.9×	292 0.8×	421 1.3×	142 1.0×	52	2.2k
R. C. Essick United States	20	1.4k 0.7×	362 0.8×	300 0.8×	251 0.8×	40 0.3×	35	1.4k

Countries citing papers authored by V. Raymond

Since Specialization

Citations

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

Fields of papers citing papers by V. Raymond

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Raymond

This figure shows the co-authorship network connecting the top 25 collaborators of V. Raymond. A scholar is included among the top collaborators of V. Raymond 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 V. Raymond. V. Raymond 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

Dax, Maximilian, Stephen Green, J. R. Gair, et al.. (2025). Real-time inference for binary neutron star mergers using machine learning. Nature. 639(8053). 49–53. 14 indexed citations

Chattopadhyay, Debatri, et al.. (2024). The impact of astrophysical priors on parameter inference for GW230529. Monthly Notices of the Royal Astronomical Society Letters. 536(1). L19–L25. 2 indexed citations

Göttel, Alexandre, A. Ejlli, S. M. Vermeulen, et al.. (2024). Searching for Scalar Field Dark Matter with LIGO. Physical Review Letters. 133(10). 101001–101001. 10 indexed citations

Relton, P. & V. Raymond. (2021). Parameter Estimation Bias From Overlapping Binary Black Hole Events In Second Generation Interferometers. arXiv (Cornell University). 26 indexed citations

Qi, H. & V. Raymond. (2021). Python-based reduced order quadrature building code for fast gravitational wave inference. Physical review. D. 104(6). 13 indexed citations

Kalaghatgi, C. V., Mark Hannam, & V. Raymond. (2020). Parameter estimation with a spinning multimode waveform model. Physical review. D. 101(10). 45 indexed citations

Morisaki, S. & V. Raymond. (2020). Prompt and accurate sky localization of gravitational-wave sources. Journal of Physics Conference Series. 1468(1). 12219–12219. 1 indexed citations

Morisaki, S. & V. Raymond. (2020). Rapid parameter estimation of gravitational waves from binary neutron star coalescence using focused reduced order quadrature. Physical review. D. 102(10). 39 indexed citations

Vivanco, F, R. J. E. Smith, E. Thrane, et al.. (2019). Measuring the neutron star equation of state with gravitational waves: The first forty binary neutron star merger observations. Physical review. D. 100(10). 46 indexed citations

10.

Meidam, J., Ka Wa Tsang, Janna Goldstein, et al.. (2018). Parametrized tests of the strong-field dynamics of general relativity using gravitational wave signals from coalescing binary black holes: Fast likelihood calculations and sensitivity of the method. Physical review. D. 97(4). 46 indexed citations

11.

Brito, Richard, Alessandra Buonanno, & V. Raymond. (2018). Black-hole spectroscopy by making full use of gravitational-wave modeling. Physical review. D. 98(8). 98 indexed citations

12.

Pürrer, M., R. J. E. Smith, Scott E. Field, et al.. (2017). Accelerating parameter estimation of gravitational waves from black hole binaries with reduced order quadratures. MPG.PuRe (Max Planck Society). 2015–2018. 1 indexed citations

13.

Singer, L. P., Hsin-Yu Chen, D. E. Holz, et al.. (2016). GOING THE DISTANCE: MAPPING HOST GALAXIES OF LIGO AND VIRGO SOURCES IN THREE DIMENSIONS USING LOCAL COSMOGRAPHY AND TARGETED FOLLOW-UP. The Astrophysical Journal Letters. 829(1). L15–L15. 105 indexed citations

14.

Singer, L. P., Hsin-Yu Chen, D. E. Holz, et al.. (2016). SUPPLEMENT: “GOING THE DISTANCE: MAPPING HOST GALAXIES OF LIGO AND VIRGO SOURCES IN THREE DIMENSIONS USING LOCAL COSMOGRAPHY AND TARGETED FOLLOW-UP” (2016, ApJL, 829, L15). The Astrophysical Journal Supplement Series. 226(1). 10–10. 27 indexed citations

15.

Cañizares, P., Scott E. Field, Jonathan R. Gair, et al.. (2015). Accelerated Gravitational Wave Parameter Estimation with Reduced Order Modeling. Physical Review Letters. 114(7). 71104–71104. 84 indexed citations

16.

Vitale, S., Ryan S. Lynch, J. Veitch, V. Raymond, & Riccardo Sturani. (2014). Measuring the Spin of Black Holes in Binary Systems Using Gravitational Waves. Physical Review Letters. 112(25). 251101–251101. 78 indexed citations

17.

Wade, L. E., J. D. E. Creighton, E. Ochsner, et al.. (2014). Systematic and statistical errors in a Bayesian approach to the estimation of the neutron-star equation of state using advanced gravitational wave detectors. Physical review. D. Particles, fields, gravitation, and cosmology. 89(10). 175 indexed citations

18.

Rodriguez, Carl L., B. Farr, V. Raymond, et al.. (2014). BASIC PARAMETER ESTIMATION OF BINARY NEUTRON STAR SYSTEMS BY THE ADVANCED LIGO/VIRGO NETWORK. The Astrophysical Journal. 784(2). 119–119. 63 indexed citations

19.

Sluys, Marc van der, Ilya Mandel, V. Raymond, et al.. (2009). Parameter estimation for signals from compact binary inspirals injected into LIGO data. Classical and Quantum Gravity. 26(20). 204010–204010. 29 indexed citations

20.

Sluys, Marc van der, Christian Röver, A. Stroeer, et al.. (2008). Gravitational-Wave Astronomy with Inspiral Signals of Spinning Compact-Object Binaries. The Astrophysical Journal. 688(2). L61–L64. 69 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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