P. Sanchéz-Sáez

852 total citations
36 papers, 299 citations indexed

About

P. Sanchéz-Sáez is a scholar working on Astronomy and Astrophysics, Computational Mechanics and Nuclear and High Energy Physics. According to data from OpenAlex, P. Sanchéz-Sáez has authored 36 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Astronomy and Astrophysics, 4 papers in Computational Mechanics and 4 papers in Nuclear and High Energy Physics. Recurrent topics in P. Sanchéz-Sáez's work include Galaxies: Formation, Evolution, Phenomena (15 papers), Gamma-ray bursts and supernovae (14 papers) and Astrophysical Phenomena and Observations (13 papers). P. Sanchéz-Sáez is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (15 papers), Gamma-ray bursts and supernovae (14 papers) and Astrophysical Phenomena and Observations (13 papers). P. Sanchéz-Sáez collaborates with scholars based in Chile, Germany and United States. P. Sanchéz-Sáez's co-authors include P. Lira, P. Arévalo, L. Hernández-García, Julián E. Mejía-Restrepo, F. E. Bauer, N. Morrell, S. Kaspi, G. Pignata, P. Coppi and H. Netzer and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

P. Sanchéz-Sáez

31 papers receiving 245 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. Sanchéz-Sáez Chile 11 251 58 50 25 12 36 299
M. Vivek India 12 231 0.9× 40 0.7× 60 1.2× 13 0.5× 11 0.9× 30 282
А. В. Додин Russia 11 301 1.2× 32 0.6× 45 0.9× 24 1.0× 6 0.5× 51 325
A. Belinski Russia 10 266 1.1× 45 0.8× 50 1.0× 41 1.6× 8 0.7× 50 287
Leandro Beraldo e Silva United States 12 279 1.1× 128 2.2× 28 0.6× 17 0.7× 5 0.4× 30 333
Igor Andreoni United States 11 376 1.5× 34 0.6× 119 2.4× 16 0.6× 7 0.6× 50 418
Oliver Zier Germany 7 314 1.3× 82 1.4× 89 1.8× 23 0.9× 7 0.6× 25 379
Hakeem M. Oluseyi United States 8 167 0.7× 44 0.8× 22 0.4× 10 0.4× 5 0.4× 45 217
Antonio Ragagnin Italy 13 314 1.3× 151 2.6× 98 2.0× 20 0.8× 5 0.4× 26 357
Gautham Narayan United States 11 317 1.3× 94 1.6× 82 1.6× 32 1.3× 9 0.8× 45 379
C. Turon France 7 156 0.6× 49 0.8× 12 0.2× 34 1.4× 3 0.3× 34 192

Countries citing papers authored by P. Sanchéz-Sáez

Since Specialization
Citations

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

Fields of papers citing papers by P. Sanchéz-Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Sanchéz-Sáez

This figure shows the co-authorship network connecting the top 25 collaborators of P. Sanchéz-Sáez. A scholar is included among the top collaborators of P. Sanchéz-Sáez 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. Sanchéz-Sáez. P. Sanchéz-Sáez 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.
Chakraborty, Joheen, Erin Kara, R. Arcodia, et al.. (2025). Discovery of Quasiperiodic Eruptions in the Tidal Disruption Event and Extreme Coronal Line Emitter AT2022upj: Implications for the QPE/TDE Fraction and a Connection to ECLEs. The Astrophysical Journal Letters. 983(2). L39–L39. 11 indexed citations
2.
Sanchéz-Sáez, P., et al.. (2025). ALeRCE light curve classifier: Tidal disruption event expansion pack. Astronomy and Astrophysics. 696. A153–A153. 1 indexed citations
3.
Cicco, D. De, et al.. (2025). Selection of optically variable active galactic nuclei via a random forest algorithm. Astronomy and Astrophysics. 697. A204–A204. 2 indexed citations
4.
Chakraborty, Joheen, Peter Kosec, Erin Kara, et al.. (2025). Rapidly Varying Ionization Features in a Quasi-periodic Eruption: A Homologous Expansion Model for the Spectroscopic Evolution. The Astrophysical Journal. 984(2). 124–124. 4 indexed citations
5.
Sanchéz-Sáez, P., et al.. (2025). Unlocking AGN variability with custom ZTF photometry for high-fidelity light curves and robust selection. Astronomy and Astrophysics. 705. A247–A247.
6.
Förster, F., Takashi J. Moriya, L. Hernández-García, et al.. (2024). Physical Properties of Type II Supernovae Inferred from ZTF and ATLAS Photometric Data. The Astrophysical Journal. 969(1). 57–57. 6 indexed citations
7.
Cabrera-Vives, G., et al.. (2024). ATAT: Astronomical Transformer for time series and Tabular data. Astronomy and Astrophysics. 689. A289–A289. 8 indexed citations
8.
Arévalo, P., et al.. (2024). The universal power spectrum of quasars in optical wavelengths. Astronomy and Astrophysics. 684. A133–A133. 11 indexed citations
9.
Arancibia, M. Jaque, et al.. (2024). Application of Convolutional Neural Networks to time domain astrophysics. 2D image analysis of OGLE light curves. Astronomy and Astrophysics. 691. A106–A106. 3 indexed citations
10.
Cabrera-Vives, G., L. Hernández-García, F. Förster, et al.. (2023). Alert Classification for the ALeRCE Broker System: The Anomaly Detector. The Astronomical Journal. 166(4). 151–151. 2 indexed citations
11.
Sanchéz-Sáez, P., A. Bayo, P. Arévalo, et al.. (2023). Persistent and occasional: Searching for the variable population of the ZTF/4MOST sky using ZTF Data Release 11. Astronomy and Astrophysics. 675. A195–A195. 17 indexed citations
12.
Arévalo, P., et al.. (2023). Optical variability in quasars: scalings with black hole mass and Eddington ratio depend on the observed time-scales. Monthly Notices of the Royal Astronomical Society. 526(4). 6078–6087. 8 indexed citations
13.
Hernández-García, L., F. Panessa, G. Bruni, et al.. (2023). Multiwavelength monitoring of the nucleus in PBC J2333.9−2343: the giant radio galaxy with a blazar-like core. Monthly Notices of the Royal Astronomical Society. 525(2). 2187–2201. 4 indexed citations
15.
Matute, I., J. Afonso, R. P. Norris, et al.. (2023). Selection of powerful radio galaxies with machine learning. Astronomy and Astrophysics. 679. A101–A101. 3 indexed citations
16.
Jankov, Isidora, Andjelka B. Kovačević, D. Ilić, et al.. (2021). Photoreverberation mapping of quasars in the context of Legacy Survey of Space and Time observing strategies. Astronomische Nachrichten. 343(1-2). 2 indexed citations
17.
Sanchéz-Sáez, P., Luis Martí, Nayat Sánchez-Pi, et al.. (2021). Searching for Changing-state AGNs in Massive Data Sets. I. Applying Deep Learning and Anomaly-detection Techniques to Find AGNs with Anomalous Variability Behaviors. The Astronomical Journal. 162(5). 206–206. 25 indexed citations
18.
Bauer, F. E., G. Pignata, F. Förster, et al.. (2020). ALeRCE/ZTF Transient Discovery Report for 2020-02-04. 1.
19.
Muñoz-Arancibia, A., L. Hernández-García, M. Catelan, et al.. (2020). Discovery of young rising transient ZTF20abpgnos / AT2020qna. 148. 1. 1 indexed citations
20.
Cartier, R., P. Lira, P. Coppi, et al.. (2015). THE QUEST–La SILLA AGN VARIABILITY SURVEY. The Astrophysical Journal. 810(2). 164–164. 11 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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