P. Vielva

88.8k total citations
58 papers, 1.7k citations indexed

About

P. Vielva is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, P. Vielva has authored 58 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Astronomy and Astrophysics, 20 papers in Nuclear and High Energy Physics and 9 papers in Oceanography. Recurrent topics in P. Vielva's work include Cosmology and Gravitation Theories (49 papers), Radio Astronomy Observations and Technology (34 papers) and Galaxies: Formation, Evolution, Phenomena (23 papers). P. Vielva is often cited by papers focused on Cosmology and Gravitation Theories (49 papers), Radio Astronomy Observations and Technology (34 papers) and Galaxies: Formation, Evolution, Phenomena (23 papers). P. Vielva collaborates with scholars based in Spain, United Kingdom and France. P. Vielva's co-authors include E. Martínez-González, L. Cayón, M. Cruz, R. B. Barreiro, J. L. Sanz, Yves Wiaux, Pierre Vandergheynst, J. M. Diego, Neil Turok and M. Hobson and has published in prestigious journals such as Science, Physical Review Letters and The Astrophysical Journal.

In The Last Decade

P. Vielva

57 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Vielva Spain 22 1.5k 663 148 144 114 58 1.7k
L. Cayón Spain 17 1.1k 0.7× 420 0.6× 112 0.8× 116 0.8× 85 0.7× 40 1.2k
E. Martínez-González Spain 26 2.5k 1.6× 1.1k 1.7× 259 1.8× 205 1.4× 115 1.0× 131 2.7k
N. Vittorio Italy 22 1.9k 1.2× 743 1.1× 132 0.9× 176 1.2× 60 0.5× 95 2.1k
S. Prunet France 23 2.0k 1.3× 923 1.4× 81 0.5× 185 1.3× 37 0.3× 74 2.2k
N. Aghanim France 27 2.3k 1.5× 1.2k 1.7× 104 0.7× 126 0.9× 48 0.4× 80 2.4k
P. B. Lilje Norway 19 1.9k 1.3× 814 1.2× 125 0.8× 180 1.3× 25 0.2× 31 2.0k
M. Liguori Italy 24 1.8k 1.2× 857 1.3× 206 1.4× 148 1.0× 16 0.1× 57 1.9k
Andrew H. Jaffe United States 25 2.1k 1.4× 889 1.3× 151 1.0× 192 1.3× 24 0.2× 63 2.3k
Marc Manera United Kingdom 24 2.6k 1.7× 1.4k 2.1× 122 0.8× 183 1.3× 29 0.3× 37 2.8k
D. Mortlock United Kingdom 30 2.6k 1.7× 731 1.1× 71 0.5× 102 0.7× 84 0.7× 80 2.9k

Countries citing papers authored by P. Vielva

Since Specialization
Citations

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

Fields of papers citing papers by P. Vielva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Vielva

This figure shows the co-authorship network connecting the top 25 collaborators of P. Vielva. A scholar is included among the top collaborators of P. Vielva 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 P. Vielva. P. Vielva 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.
Ma, Yin-Zhe, P. Vielva, D. Tramonte, et al.. (2024). Cross Correlation between the Thermal Sunyaev–Zeldovich Effect and the Integrated Sachs–Wolfe Effect. The Astrophysical Journal Supplement Series. 270(1). 16–16. 1 indexed citations
2.
Casas, F. J., et al.. (2023). Optimization of a Microwave Polarimeter for Astronomy with Optical Correlation and Detection. Sensors. 23(5). 2414–2414. 2 indexed citations
3.
Casas, F. J., et al.. (2022). Polarization Calibration of a Microwave Polarimeter with Near-Infrared Up-Conversion for Optical Correlation and Detection. Sensors. 22(20). 8080–8080. 2 indexed citations
4.
Hoz, E. de la, et al.. (2022). Determination of polarization angles in CMB experiments and application to CMB component separation analyses. Journal of Cosmology and Astroparticle Physics. 2022(3). 32–32. 8 indexed citations
5.
Vielva, P., et al.. (2022). Constraining CMB physical processes using Planck 2018 data. Journal of Cosmology and Astroparticle Physics. 2022(11). 43–43. 2 indexed citations
6.
Casas, F. J., E. Martínez-González, Sergio Sánchez‐García, et al.. (2021). L2-CalSat: A Calibration Satellite for Ultra-Sensitive CMB Polarization Space Missions. Sensors. 21(10). 3361–3361. 12 indexed citations
7.
Bonavera, L., R. B. Barreiro, A. Marcos-Caballero, & P. Vielva. (2016). On the recovery of ISW fluctuations using large-scale structure tracers and CMB temperature and polarization anisotropies. Monthly Notices of the Royal Astronomical Society. 459(1). 657–672. 4 indexed citations
8.
Fernández-Cobos, R., A. Marcos-Caballero, P. Vielva, E. Martínez-González, & R. B. Barreiro. (2016). Exploring two-spin internal linear combinations for the recovery of the CMB polarization. Monthly Notices of the Royal Astronomical Society. 459(1). 441–454. 10 indexed citations
9.
López-Caniego, M. & P. Vielva. (2012). Biparametric adaptive filter: detection of compact sources in complex microwave backgrounds. Monthly Notices of the Royal Astronomical Society. 421(3). 2139–2154. 1 indexed citations
10.
Finelli⋆, F., A. Gruppuso, A. Marcos-Caballero, et al.. (2012). An optimal estimator for the CMB-LSS angular power spectrum and its application to WMAP and NVSS data. Monthly Notices of the Royal Astronomical Society. 427(4). 3044–3054. 19 indexed citations
11.
Vielva, P. & J. L. Sanz. (2010). Constraints on fNL and gNL from the analysis of the N-pdf of the CMB large-scale anisotropies. Monthly Notices of the Royal Astronomical Society. 404(2). 895–907. 26 indexed citations
12.
Herranz, D. & P. Vielva. (2009). Cosmic microwave background images. IEEE Signal Processing Magazine. 27(1). 67–67. 13 indexed citations
13.
Cruz, M., Neil Turok, P. Vielva, E. Martínez-González, & M. Hobson. (2008). A Cosmic Microwave Background Feature Consistent with a Cosmic Texture. 1(1). 8–8. 1 indexed citations
14.
McEwen, Jason D., P. Vielva, Yves Wiaux, et al.. (2007). Cosmological Applications of a Wavelet Analysis on the Sphere. Journal of Fourier Analysis and Applications. 13(4). 495–510. 34 indexed citations
15.
Wiaux, Yves, P. Vielva, E. Martínez-González, & Pierre Vandergheynst. (2006). Global Universe Anisotropy Probed by the Alignment of Structures in the Cosmic Microwave Background. Physical Review Letters. 96(15). 151303–151303. 50 indexed citations
16.
Argüeso, F., J. González-Nuevo, J. L. Sanz, et al.. (2005). The Mexican Hat Wavelet Family. Application to point source detection in cosmic microwave background maps. European Signal Processing Conference. 1–4. 3 indexed citations
17.
18.
Vielva, P., et al.. (2004). WMAP and NVSS cross-correlation in wavelet space: ISW detection and dark energy constraints. arXiv (Cornell University). 2 indexed citations
19.
Barreiro, R. B., M. P. Hobson, A. J. Banday, et al.. (2004). Foreground separation using a flexible maximum-entropy algorithm: an application to COBE data. Monthly Notices of the Royal Astronomical Society. 351(2). 515–540. 15 indexed citations
20.
Cruz, M., E. Martínez-González, P. Vielva, & L. Cayón. (2004). Detection of a non-Gaussian spot in WMAP. Monthly Notices of the Royal Astronomical Society. 356(1). 29–40. 213 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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