Daniel G. Figueroa

4.5k total citations · 2 hit papers
50 papers, 2.2k citations indexed

About

Daniel G. Figueroa is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, Daniel G. Figueroa has authored 50 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Astronomy and Astrophysics, 31 papers in Nuclear and High Energy Physics and 6 papers in Oceanography. Recurrent topics in Daniel G. Figueroa's work include Cosmology and Gravitation Theories (45 papers), Pulsars and Gravitational Waves Research (21 papers) and Black Holes and Theoretical Physics (20 papers). Daniel G. Figueroa is often cited by papers focused on Cosmology and Gravitation Theories (45 papers), Pulsars and Gravitational Waves Research (21 papers) and Black Holes and Theoretical Physics (20 papers). Daniel G. Figueroa collaborates with scholars based in Spain, Switzerland and United Kingdom. Daniel G. Figueroa's co-authors include J. García-Bellido, Javier Rubio, Francisco Torrentí, Alfonso Sastre, Arttu Rajantie, Jon Urrestilla, Adrien Florio, Angelo Ricciardone, Wessel Valkenburg and Eemeli Tomberg and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

Daniel G. Figueroa

48 papers receiving 2.1k citations

Hit Papers

Science with the space-based interferometer LISA. IV: pro... 2016 2026 2019 2022 2016 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Figueroa Spain 23 2.1k 1.4k 288 95 85 50 2.2k
Gabriele Franciolini Switzerland 33 3.1k 1.5× 1.8k 1.3× 334 1.2× 94 1.0× 86 1.0× 67 3.2k
Hardi Veermäe Estonia 27 2.5k 1.2× 1.8k 1.3× 239 0.8× 143 1.5× 130 1.5× 59 2.7k
Shuichiro Yokoyama Japan 27 2.7k 1.3× 1.7k 1.2× 307 1.1× 116 1.2× 75 0.9× 88 2.7k
Tina Kahniashvili Georgia 30 2.4k 1.2× 1.3k 1.0× 403 1.4× 124 1.3× 64 0.8× 60 2.5k
Nicola Bartolo Italy 23 2.0k 1.0× 1.2k 0.9× 265 0.9× 130 1.4× 50 0.6× 38 2.0k
Peter Adshead United States 26 1.8k 0.9× 1.4k 1.0× 215 0.7× 86 0.9× 72 0.8× 51 1.9k
Angelo Ricciardone Italy 21 1.3k 0.6× 594 0.4× 298 1.0× 55 0.6× 58 0.7× 45 1.4k
H. Kurki‐Suonio Finland 24 1.6k 0.8× 1.4k 1.0× 109 0.4× 106 1.1× 73 0.9× 50 1.8k
Filippo Vernizzi France 30 3.7k 1.8× 2.6k 1.9× 361 1.3× 259 2.7× 92 1.1× 56 3.8k
Teruaki Suyama Japan 31 3.0k 1.4× 2.1k 1.5× 281 1.0× 156 1.6× 122 1.4× 81 3.1k

Countries citing papers authored by Daniel G. Figueroa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Figueroa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Figueroa. 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 Daniel G. Figueroa. The network helps show where Daniel G. Figueroa may publish in the future.

Co-authorship network of co-authors of Daniel G. Figueroa

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Figueroa. A scholar is included among the top collaborators of Daniel G. Figueroa 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 Daniel G. Figueroa. Daniel G. Figueroa 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.
Figueroa, Daniel G., et al.. (2025). Geometric reheating of the Universe. Journal of Cosmology and Astroparticle Physics. 2025(3). 73–73. 2 indexed citations
2.
Copeland, Edmund J., et al.. (2025). Particle and gravitational wave emission by local string loops: Lattice calculation. Physical review. D. 112(4).
3.
Figueroa, Daniel G., Mauro Pieroni, Angelo Ricciardone, & Peera Simakachorn. (2024). Cosmological Background Interpretation of Pulsar Timing Array Data. Physical Review Letters. 132(17). 171002–171002. 71 indexed citations breakdown →
4.
Copeland, Edmund J., et al.. (2024). Gravitational wave emission from a cosmic string loop: Global case. Physical review. D. 110(4). 12 indexed citations
5.
Babak, S., Chiara Caprini, Daniel G. Figueroa, et al.. (2023). Stochastic gravitational wave background from stellar origin binary black holes in LISA. Journal of Cosmology and Astroparticle Physics. 2023(8). 34–34. 43 indexed citations
6.
Figueroa, Daniel G., et al.. (2023). Lattice simulations of non-minimally coupled scalar fields in the Jordan frame. SciPost Physics. 15(3). 16 indexed citations
7.
Figueroa, Daniel G., et al.. (2023). Strong Backreaction Regime in Axion Inflation. Physical Review Letters. 131(15). 151003–151003. 35 indexed citations
8.
Figueroa, Daniel G., et al.. (2023). Gravitational wave production from preheating with trilinear interactions. Journal of Cosmology and Astroparticle Physics. 2023(5). 23–23. 18 indexed citations
9.
Figueroa, Daniel G., et al.. (2022). Spectroscopy of particle couplings with gravitational waves. Physical review. D. 106(6). 12 indexed citations
10.
Figueroa, Daniel G., et al.. (2021). Non-Gaussian Tail of the Curvature Perturbation in Stochastic Ultraslow-Roll Inflation: Implications for Primordial Black Hole Production. Physical Review Letters. 127(10). 101302–101302. 87 indexed citations
11.
Figueroa, Daniel G., Mark Hindmarsh, Joanes Lizarraga, & Jon Urrestilla. (2020). Irreducible background of gravitational waves from a cosmic defect network: Update and comparison of numerical techniques. Physical review. D. 102(10). 27 indexed citations
12.
Antusch, Stefan, et al.. (2020). Energy distribution and equation of state of the early Universe: Matching the end of inflation and the onset of radiation domination. Physics Letters B. 811. 135888–135888. 32 indexed citations
13.
Figueroa, Daniel G., et al.. (2018). Inconsistency of an inflationary sector coupled only gravitationally. arXiv (Cornell University). 2 indexed citations
14.
Figueroa, Daniel G., et al.. (2018). Electroweak and QCD corrections to Z-boson production with one b jet in a massive five-flavor scheme. Physical review. D. 98(9). 9 indexed citations
15.
Figueroa, Daniel G., J. García-Bellido, & Francisco Torrentí. (2016). Gravitational wave production from the decay of the standard model Higgs field after inflation. Physical review. D. 93(10). 20 indexed citations
16.
Bartolo, Nicola, Chiara Caprini, Valerie Domcke, et al.. (2016). Science with the space-based interferometer LISA. IV: probing inflation with gravitational waves. Journal of Cosmology and Astroparticle Physics. 2016(12). 26–26. 267 indexed citations breakdown →
17.
Figueroa, Daniel G., et al.. (2014). On the anisotropy of the gravitational wave background from massless preheating. Journal of Cosmology and Astroparticle Physics. 2014(6). 47–47. 36 indexed citations
18.
Figueroa, Daniel G., et al.. (2013). Anisotropies in the Gravitational Wave Background from Preheating. Physical Review Letters. 111(1). 11301–11301. 56 indexed citations
19.
García-Bellido, J., Daniel G. Figueroa, & Alfonso Sastre. (2008). Gravitational wave background from reheating after hybrid inflation. Physical review. D. Particles, fields, gravitation, and cosmology. 77(4). 168 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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