A. Ruiz

680 total citations
28 papers, 351 citations indexed

About

A. Ruiz is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Instrumentation. According to data from OpenAlex, A. Ruiz has authored 28 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Astronomy and Astrophysics, 6 papers in Nuclear and High Energy Physics and 5 papers in Instrumentation. Recurrent topics in A. Ruiz's work include Galaxies: Formation, Evolution, Phenomena (22 papers), Astrophysical Phenomena and Observations (20 papers) and Gamma-ray bursts and supernovae (10 papers). A. Ruiz is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (22 papers), Astrophysical Phenomena and Observations (20 papers) and Gamma-ray bursts and supernovae (10 papers). A. Ruiz collaborates with scholars based in Greece, Spain and Italy. A. Ruiz's co-authors include I. Georgantopoulos, F. J. Carrera, G. Mountrichas, S. Mateos, A. W. Blain, A. Georgakakis, A. Corral, A. Caccianiga, P. Severgnini and A. Alonso‐Herrero and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Proceedings of the International Astronomical Union.

In The Last Decade

A. Ruiz

24 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Ruiz Greece 11 333 109 93 15 14 28 351
Tonima Tasnim Ananna United States 12 350 1.1× 74 0.7× 119 1.3× 16 1.1× 12 0.9× 21 392
N. MacCrann United States 6 250 0.8× 84 0.8× 83 0.9× 7 0.5× 5 0.4× 9 262
Jan–Torge Schindler United States 11 356 1.1× 61 0.6× 121 1.3× 4 0.3× 7 0.5× 25 376
S. Marri Italy 4 305 0.9× 99 0.9× 90 1.0× 8 0.5× 6 0.4× 4 316
E. Koulouridis Greece 11 259 0.8× 70 0.6× 103 1.1× 6 0.4× 10 0.7× 27 270
Wenwen Zuo China 6 623 1.9× 140 1.3× 150 1.6× 4 0.3× 11 0.8× 14 637
Christophe Yèche France 7 259 0.8× 119 1.1× 82 0.9× 3 0.2× 10 0.7× 8 281
Meredith C. Powell United States 14 509 1.5× 156 1.4× 113 1.2× 9 0.6× 4 0.3× 34 540
Cristina Furlanetto Brazil 9 385 1.2× 57 0.5× 147 1.6× 8 0.5× 6 0.4× 29 396
Juan P. Madrid United States 15 437 1.3× 97 0.9× 157 1.7× 6 0.4× 5 0.4× 29 441

Countries citing papers authored by A. Ruiz

Since Specialization
Citations

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

Fields of papers citing papers by A. Ruiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Ruiz

This figure shows the co-authorship network connecting the top 25 collaborators of A. Ruiz. A scholar is included among the top collaborators of A. Ruiz 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. Ruiz. A. Ruiz 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.
Georgakakis, A., A. Ruiz, Johannes Büchner, et al.. (2025). Revisiting the X-ray-to-UV relation of quasars in the era of all-sky surveys. Monthly Notices of the Royal Astronomical Society. 545(1).
2.
Mountrichas, G., H. Stiele, F. J. Carrera, et al.. (2025). Harnessing the XMM-Newton data: X-ray spectral modelling of 4XMM-DR11 detections and 4XMM-DR11s sources. Astronomy and Astrophysics. 704. A16–A16.
3.
Koulouridis, E., Yoshiki Toba, A. Ruiz, et al.. (2025). XXL-HSC: Host properties of X-ray detected AGNs in XXL clusters. ArXiv.org. 697. A234–A234. 1 indexed citations
4.
Maravelias, G., et al.. (2025). Investigating episodic mass loss in evolved massive stars. Astronomy and Astrophysics. 698. A279–A279. 3 indexed citations
5.
Mountrichas, G., F. J. Carrera, H. Stiele, et al.. (2024). The link among X-ray spectral properties, AGN structure, and the host galaxy. Astronomy and Astrophysics. 683. A172–A172. 4 indexed citations
6.
7.
Ruiz, A., I. Georgantopoulos, Fabio Vito, et al.. (2024). Active galactic nucleus X-ray luminosity function and absorption function in the Early Universe (3 ≤ z ≤ 6). Astronomy and Astrophysics. 685. A97–A97. 12 indexed citations
8.
Akiyama, Masayuki, Malte Schramm, Yoshihiro Ueda, et al.. (2024). Observational properties of active galactic nucleus obscuration during the peak of accretion growth. Monthly Notices of the Royal Astronomical Society. 529(4). 3610–3629. 2 indexed citations
9.
Georgakakis, A., Francesco Shankar, A. Ruiz, et al.. (2024). Scrutinizing evidence for the triggering of active galactic nuclei in the outskirts of massive galaxy clusters at z ≈ 1. Monthly Notices of the Royal Astronomical Society. 532(1). 336–350. 3 indexed citations
10.
Aird, James, et al.. (2023). The intrinsic X-ray luminosity distribution of an optically selected SDSS quasar population. Monthly Notices of the Royal Astronomical Society. 527(3). 9004–9022. 5 indexed citations
11.
Ruiz, A., A. Georgakakis, I. Georgantopoulos, et al.. (2023). The STATiX pipeline for the detection of X-ray transients in three dimensions. Monthly Notices of the Royal Astronomical Society. 527(2). 3674–3691. 1 indexed citations
12.
Georgakakis, A., D. M. Alexander, A. Ruiz, et al.. (2022). The demographics of obscured AGN from X-ray spectroscopy guided by multiwavelength information. Monthly Notices of the Royal Astronomical Society. 518(2). 2546–2566. 15 indexed citations
13.
Mountrichas, G., I. Georgantopoulos, A. Ruiz, et al.. (2022). XXL-HSC: Link between AGN activity and star formation in the early Universe (z⩾ 3.5). Astronomy and Astrophysics. 667. A56–A56. 16 indexed citations
14.
Ruiz, A., I. Georgantopoulos, & A. Corral. (2021). A search for X-ray absorbed sources in the 3XMM catalogue using photometric redshifts and Bayesian spectral fits. Springer Link (Chiba Institute of Technology). 6 indexed citations
15.
Georgantopoulos, I., A. Ruiz, R. Gilli, et al.. (2021). XXL-HSC: An updated catalogue of high-redshift (z ≥ 3.5) X-ray AGN in the XMM-XXL northern field. Astronomy and Astrophysics. 658. A175–A175. 8 indexed citations
16.
Georgakakis, A., A. Ruiz, & Stephanie LaMassa. (2020). Forward modelling the multiwavelength properties of active galactic nuclei: application to X-ray and WISE mid-infrared samples. Monthly Notices of the Royal Astronomical Society. 499(1). 710–729. 8 indexed citations
17.
Ruiz, A., A. Corral, G. Mountrichas, & I. Georgantopoulos. (2018). XMMPZCAT: A catalogue of photometric redshifts for X-ray sources. Astronomy and Astrophysics. 618. A52–A52. 23 indexed citations
18.
Mountrichas, G., et al.. (2018). Disentangling the AGN and star formation connection using XMM-Newton. Astronomy and Astrophysics. 618. A31–A31. 33 indexed citations
19.
Mountrichas, G., A. Corral, I. Georgantopoulos, et al.. (2017). Estimating photometric redshifts for X-ray sources in the X-ATLAS field using machine-learning techniques. Astronomy and Astrophysics. 608. A39–A39. 13 indexed citations
20.
Ruiz, A., G. Miniutti, F. Panessa, & F. J. Carrera. (2010). Spectral energy distribution of hyperluminous infrared galaxies. Astronomy and Astrophysics. 515. A99–A99. 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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