A. Torres-Forné

40.3k total citations · 1 hit paper
34 papers, 777 citations indexed

About

A. Torres-Forné is a scholar working on Astronomy and Astrophysics, Geophysics and Nuclear and High Energy Physics. According to data from OpenAlex, A. Torres-Forné has authored 34 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Astronomy and Astrophysics, 10 papers in Geophysics and 6 papers in Nuclear and High Energy Physics. Recurrent topics in A. Torres-Forné's work include Pulsars and Gravitational Waves Research (32 papers), Gamma-ray bursts and supernovae (20 papers) and Astrophysical Phenomena and Observations (8 papers). A. Torres-Forné is often cited by papers focused on Pulsars and Gravitational Waves Research (32 papers), Gamma-ray bursts and supernovae (20 papers) and Astrophysical Phenomena and Observations (8 papers). A. Torres-Forné collaborates with scholars based in Spain, Portugal and Germany. A. Torres-Forné's co-authors include José A. Font, P. Cerdá–Durán, J. Calderón Bustillo, N. Sanchis-Gual, M. Obergaulinger, Andrea Passamonti, Samson H. W. Leong, Carlos Herdeiro, Eugen Radu and Antonio Marquina and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

A. Torres-Forné

31 papers receiving 754 citations

Hit Papers

GW190521 as a Merger of Proca Stars: A Potential New Vect... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Torres-Forné Spain 16 691 224 137 72 50 34 777
Lindy Blackburn United States 11 441 0.6× 182 0.8× 73 0.5× 46 0.6× 22 0.4× 33 508
Barak Zackay United States 17 1.1k 1.6× 198 0.9× 177 1.3× 119 1.7× 23 0.5× 35 1.2k
Alvin J. K. Chua United States 17 889 1.3× 200 0.9× 110 0.8× 95 1.3× 50 1.0× 40 988
G. Mitselmakher United States 13 689 1.0× 291 1.3× 183 1.3× 86 1.2× 24 0.5× 35 887
F. Salemi Italy 14 688 1.0× 95 0.4× 158 1.2× 79 1.1× 71 1.4× 26 795
S. Abraham United States 5 960 1.4× 221 1.0× 164 1.2× 114 1.6× 20 0.4× 5 1.0k
Nils Deppe United States 15 707 1.0× 347 1.5× 84 0.6× 55 0.8× 50 1.0× 42 823
M. A. Bizouard France 13 590 0.9× 301 1.3× 97 0.7× 47 0.7× 51 1.0× 33 699
C. Talbot United States 20 1.2k 1.7× 232 1.0× 157 1.1× 174 2.4× 43 0.9× 34 1.2k
T. D. Abbott United States 5 650 0.9× 145 0.6× 113 0.8× 82 1.1× 17 0.3× 9 691

Countries citing papers authored by A. Torres-Forné

Since Specialization
Citations

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

Fields of papers citing papers by A. Torres-Forné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Torres-Forné. 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 A. Torres-Forné. The network helps show where A. Torres-Forné may publish in the future.

Co-authorship network of co-authors of A. Torres-Forné

This figure shows the co-authorship network connecting the top 25 collaborators of A. Torres-Forné. A scholar is included among the top collaborators of A. Torres-Forné 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 A. Torres-Forné. A. Torres-Forné 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.
Freitas, O., et al.. (2024). Comparison of neural network architectures for feature extraction from binary black hole merger waveforms. Machine Learning Science and Technology. 5(1). 15036–15036. 2 indexed citations
2.
Cerdá–Durán, P., et al.. (2024). Bayesian inference from gravitational waves in fast-rotating, core-collapse supernovae. Physical review. D. 109(6). 4 indexed citations
3.
Fischer, Tobias, et al.. (2024). Neutron stars in accreting systems – Signatures of the QCD phase transition. Astronomy and Astrophysics. 687. A245–A245. 6 indexed citations
4.
Freitas, O., et al.. (2024). Deep-learning classification and parameter inference of rotational core-collapse supernovae. Physical review. D. 110(6). 1 indexed citations
5.
Badger, C., José A. Font, Mairi Sakellariadou, & A. Torres-Forné. (2024). High-speed reconstruction of long-duration gravitational waves from extreme-mass-ratio inspirals using sparse dictionary learning. Physical review. D. 110(6). 1 indexed citations
6.
Bustillo, J. Calderón, N. Sanchis-Gual, Samson H. W. Leong, et al.. (2023). Searching for vector boson-star mergers within LIGO-Virgo intermediate-mass black-hole merger candidates. Physical review. D. 108(12). 28 indexed citations
7.
Bustillo, J. Calderón, Isaac Wong, N. Sanchis-Gual, et al.. (2023). Gravitational-Wave Parameter Inference with the Newman-Penrose Scalar. Physical Review X. 13(4). 10 indexed citations
8.
Fröhlich, Carla, et al.. (2023). Gravitational Wave Eigenfrequencies from Neutrino-driven Core-collapse Supernovae. The Astrophysical Journal. 954(2). 161–161. 10 indexed citations
9.
Drago, M., Haakon Andresen, I. Di Palma, Irene Tamborra, & A. Torres-Forné. (2023). Multimessenger observations of core-collapse supernovae: Exploiting the standing accretion shock instability. Physical review. D. 108(10). 8 indexed citations
10.
Bizouard, M. A., M. Obergaulinger, A. Torres-Forné, et al.. (2023). Inference of protoneutron star properties in core-collapse supernovae from a gravitational-wave detector network. Physical review. D. 107(8). 21 indexed citations
11.
Luna, Raimon, et al.. (2023). Solving the Teukolsky equation with physics-informed neural networks. Physical review. D. 107(6). 16 indexed citations
12.
Badger, C., K. Martinovic, A. Torres-Forné, Mairi Sakellariadou, & José A. Font. (2023). Dictionary Learning: A Novel Approach to Detecting Binary Black Holes in the Presence of Galactic Noise with LISA. Physical Review Letters. 130(9). 91401–91401. 5 indexed citations
13.
Sanchis-Gual, N., J. Calderón Bustillo, Carlos Herdeiro, et al.. (2022). Impact of the wavelike nature of Proca stars on their gravitational-wave emission. Physical review. D. 106(12). 25 indexed citations
14.
Torres-Forné, A., et al.. (2022). Classification of core-collapse supernova explosions with learned dictionaries. Monthly Notices of the Royal Astronomical Society. 512(3). 3815–3827. 13 indexed citations
15.
Bustillo, J. Calderón, N. Sanchis-Gual, A. Torres-Forné, et al.. (2021). GW190521 as a Merger of Proca Stars: A Potential New Vector Boson of 8.7×1013  eV. Physical Review Letters. 126(8). 81101–81101. 144 indexed citations breakdown →
16.
Bustillo, J. Calderón, N. Sanchis-Gual, A. Torres-Forné, & José A. Font. (2021). Confusing Head-On Collisions with Precessing Intermediate-Mass Binary Black Hole Mergers. Physical Review Letters. 126(20). 201101–201101. 60 indexed citations
17.
Bizouard, M. A., A. Torres-Forné, M. Obergaulinger, et al.. (2021). Inference of protoneutron star properties from gravitational-wave data in core-collapse supernovae. Physical review. D. 103(6). 33 indexed citations
18.
Torres-Forné, A., E. Cuoco, José A. Font, & Antonio Marquina. (2020). Application of dictionary learning to denoise LIGO’s blip noise transients. Physical review. D. 102(2). 24 indexed citations
19.
Torres-Forné, A., P. Cerdá–Durán, M. Obergaulinger, Bernhard Müller, & José A. Font. (2019). Universal Relations for Gravitational-Wave Asteroseismology of Protoneutron Stars. Physical Review Letters. 123(5). 51102–51102. 66 indexed citations
20.
Cuoco, E., I. S. Heng, José A. Font, et al.. (2017). Strategy for signal classification to improve data quality for Advanced Detectors gravitational-wave searches. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 40(3). 124. 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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