J. Alberto Vázquez

13.2k total citations
45 papers, 981 citations indexed

About

J. Alberto Vázquez is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Artificial Intelligence. According to data from OpenAlex, J. Alberto Vázquez has authored 45 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 20 papers in Nuclear and High Energy Physics and 7 papers in Artificial Intelligence. Recurrent topics in J. Alberto Vázquez's work include Cosmology and Gravitation Theories (37 papers), Galaxies: Formation, Evolution, Phenomena (32 papers) and Black Holes and Theoretical Physics (14 papers). J. Alberto Vázquez is often cited by papers focused on Cosmology and Gravitation Theories (37 papers), Galaxies: Formation, Evolution, Phenomena (32 papers) and Black Holes and Theoretical Physics (14 papers). J. Alberto Vázquez collaborates with scholars based in Mexico, Türkiye and United States. J. Alberto Vázquez's co-authors include Özgür Akarsu, Luis A. Escamilla, Suresh Kumar, Emre Özülker, John D. Barrow, Tonatiuh Matos, A. Lasenby, Israel Quirós, M. P. Hobson and M. Bridges and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Physics Letters B and Journal of High Energy Physics.

In The Last Decade

J. Alberto Vázquez

44 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Alberto Vázquez Mexico 19 896 537 78 69 44 45 981
D. Munshi United Kingdom 19 1.1k 1.2× 321 0.6× 168 2.2× 136 2.0× 30 0.7× 63 1.1k
M. Douspis France 19 939 1.0× 423 0.8× 181 2.3× 54 0.8× 29 0.7× 70 984
Harry Desmond United Kingdom 18 926 1.0× 416 0.8× 219 2.8× 63 0.9× 51 1.2× 54 1.0k
Jaiyul Yoo Switzerland 18 1.2k 1.3× 448 0.8× 188 2.4× 68 1.0× 27 0.6× 47 1.2k
K. Begeman Netherlands 6 734 0.8× 287 0.5× 202 2.6× 76 1.1× 22 0.5× 11 828
F. Atrio‐Barandela Spain 19 1.7k 1.9× 1.1k 2.1× 104 1.3× 140 2.0× 55 1.3× 56 1.8k
K. Dolag Germany 22 1.5k 1.6× 738 1.4× 281 3.6× 64 0.9× 30 0.7× 40 1.6k
A. O. Petters United States 14 840 0.9× 354 0.7× 86 1.1× 54 0.8× 47 1.1× 27 908
Shuo Cao China 26 1.7k 1.9× 609 1.1× 164 2.1× 96 1.4× 88 2.0× 93 1.8k
Alexander Shirokov Canada 2 668 0.7× 195 0.4× 193 2.5× 62 0.9× 15 0.3× 2 688

Countries citing papers authored by J. Alberto Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by J. Alberto Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Alberto Vázquez. 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 J. Alberto Vázquez. The network helps show where J. Alberto Vázquez may publish in the future.

Co-authorship network of co-authors of J. Alberto Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of J. Alberto Vázquez. A scholar is included among the top collaborators of J. Alberto Vázquez 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 J. Alberto Vázquez. J. Alberto Vázquez 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.
Matos, Tonatiuh, et al.. (2024). Cosmology on a gravitational wave background. Monthly Notices of the Royal Astronomical Society. 529(3). 3013–3019. 2 indexed citations
2.
Vázquez, J. Alberto, et al.. (2024). Coupled multiscalar field dark energy. Physical review. D. 109(2). 6 indexed citations
3.
Vázquez, J. Alberto, et al.. (2024). Deep learning and genetic algorithms for cosmological Bayesian inference speed-up. Physical review. D. 110(8). 2 indexed citations
4.
Velázquez, Juan J. L., Luis A. Escamilla, Purba Mukherjee, & J. Alberto Vázquez. (2024). Non-Parametric Reconstruction of Cosmological Observables Using Gaussian Processes Regression. Universe. 10(12). 464–464. 6 indexed citations
5.
García‐Salcedo, Ricardo, et al.. (2023). Cosmological Parameter Estimation with Genetic Algorithms. Universe. 10(1). 11–11. 10 indexed citations
6.
7.
Vázquez, J. Alberto, et al.. (2023). Neural networks optimized by genetic algorithms in cosmology. Physical review. D. 107(4). 8 indexed citations
8.
García‐Salcedo, Ricardo, et al.. (2023). Neural network reconstructions for the Hubble parameter, growth rate and distance modulus. The European Physical Journal C. 83(4). 23 indexed citations
9.
Vázquez, J. Alberto, et al.. (2023). Analysis of dark matter halo structure formation in N-body simulations with machine learning. Physical review. D. 107(12). 5 indexed citations
10.
Escamilla, Luis A., Özgür Akarsu, Eleonora Di Valentino, & J. Alberto Vázquez. (2023). Model-independent reconstruction of the interacting dark energy kernel: Binned and Gaussian process. Journal of Cosmology and Astroparticle Physics. 2023(11). 51–51. 41 indexed citations
11.
Vázquez, J. Alberto, et al.. (2022). Observational Cosmology with Artificial Neural Networks. Universe. 8(2). 120–120. 17 indexed citations
12.
Matos, Tonatiuh, et al.. (2022). Cosmological constraints on the multiscalar field dark matter model. Physical review. D. 106(12). 14 indexed citations
13.
Keeley, Ryan E., et al.. (2021). Reconstructing the Universe: Testing the Mutual Consistency of the Pantheon and SDSS/eBOSS BAO Data Sets with Gaussian Processes. The Astronomical Journal. 161(3). 151–151. 29 indexed citations
14.
Acquaviva, Giovanni, Özgür Akarsu, Nihan Katırcı, & J. Alberto Vázquez. (2021). Simple-graduated dark energy and spatial curvature. Physical review. D. 104(2). 33 indexed citations
15.
Araújo, Marco, et al.. (2019). Coumarin-grafted blue-emitting fluorescent alginate as a potentially valuable tool for biomedical applications. Journal of Materials Chemistry B. 8(4). 813–825. 19 indexed citations
16.
Hee, S., J. Alberto Vázquez, Will Handley, M. P. Hobson, & A. Lasenby. (2016). Constraining the dark energy equation of state using Bayes theorem and the Kullback–Leibler divergence. Monthly Notices of the Royal Astronomical Society. 466(1). 369–377. 28 indexed citations
17.
Sánchez, Ariel G., Jan Niklas Grieb, Salvador Salazar-Albornoz, et al.. (2016). The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: combining correlated Gaussian posterior distributions. Monthly Notices of the Royal Astronomical Society. 464(2). 1493–1501. 22 indexed citations
18.
Vázquez, J. Alberto. (2015). Cosmological implications of baryon acoustic oscillation (BAO) measurements. Bulletin of the American Physical Society. 2015. 5 indexed citations
19.
González, Tamé, Tonatiuh Matos, Israel Quirós, & J. Alberto Vázquez. (2009). Self-interacting scalar field trapped in a Randall–Sundrum braneworld: The dynamical systems perspective. Physics Letters B. 676(4-5). 161–167. 15 indexed citations
20.
Matos, Tonatiuh, et al.. (2009). Dynamics of scalar field dark matter with a cosh-like potential. Physical review. D. Particles, fields, gravitation, and cosmology. 80(12). 40 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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