Adrián Rovero

12.8k total citations
20 papers, 132 citations indexed

About

Adrián Rovero is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Adrián Rovero has authored 20 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nuclear and High Energy Physics, 11 papers in Astronomy and Astrophysics and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Adrián Rovero's work include Astrophysics and Cosmic Phenomena (19 papers), Gamma-ray bursts and supernovae (7 papers) and Dark Matter and Cosmic Phenomena (7 papers). Adrián Rovero is often cited by papers focused on Astrophysics and Cosmic Phenomena (19 papers), Gamma-ray bursts and supernovae (7 papers) and Dark Matter and Cosmic Phenomena (7 papers). Adrián Rovero collaborates with scholars based in Argentina, United States and Mexico. Adrián Rovero's co-authors include C. Donzelli, H. Muriel, A. Pichel, P. Fleury, M. Urban, Yan-Fei Jiang, E. Paré, X. Sarazin, T. C. Weekes and Giuseppe Vacanti and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Adrián Rovero

15 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adrián Rovero Argentina 5 121 72 10 5 4 20 132
P. Cumani Spain 5 76 0.6× 46 0.6× 12 1.2× 4 0.8× 5 1.3× 8 92
Y. Kawasaki Japan 7 90 0.7× 53 0.7× 7 0.7× 7 1.4× 2 0.5× 40 106
L. A. Kuzmichev Russia 7 145 1.2× 36 0.5× 17 1.7× 3 0.6× 4 1.0× 40 151
S. M. Oser United States 7 174 1.4× 83 1.2× 7 0.7× 4 0.8× 2 0.5× 11 188
A. Albert United States 8 111 0.9× 69 1.0× 5 0.5× 5 1.0× 1 0.3× 13 120
Armando di Matteo Italy 7 118 1.0× 42 0.6× 3 0.3× 5 1.0× 2 0.5× 14 122
G. Sinnis United States 5 190 1.6× 110 1.5× 14 1.4× 4 0.8× 3 0.8× 13 198
Р. А. Мухамедшин Russia 8 157 1.3× 41 0.6× 8 0.8× 6 1.2× 2 0.5× 44 167
S. I. Nikolsky Russia 9 180 1.5× 114 1.6× 4 0.4× 6 1.2× 3 0.8× 46 190
A. D. Supanitsky Argentina 8 172 1.4× 44 0.6× 9 0.9× 4 0.8× 8 2.0× 38 186

Countries citing papers authored by Adrián Rovero

Since Specialization
Citations

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

Fields of papers citing papers by Adrián Rovero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrián Rovero

This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Rovero. A scholar is included among the top collaborators of Adrián Rovero 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 Adrián Rovero. Adrián Rovero 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.
Alonso, M. V., D. Minniti, N. Masetti, et al.. (2024). High energy gamma-ray sources in the VVV survey - II. The AGN counterparts. Monthly Notices of the Royal Astronomical Society. 529(2). 1019–1034. 1 indexed citations
2.
Pichel, A., C. Donzelli, H. Muriel, et al.. (2023). Statistical redshift of the very-high-energy blazar S5 0716+714. Astronomy and Astrophysics. 680. A52–A52. 2 indexed citations
3.
Doro, M., A. Moraes, M. Santander, et al.. (2021). The search for high altitude sites in South America for the SWGO detector. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 689–689. 1 indexed citations
4.
Pichel, A., C. Donzelli, D. Rosa‐González, et al.. (2020). New Observations with Gemini and GTC of the VHE Blazar KUV 00311–1938: About Its Redshift and Environment. Publications of the Astronomical Society of the Pacific. 133(1019). 14102–14102. 1 indexed citations
5.
Pichel, A., M. V. Alonso, Adrián Rovero, et al.. (2019). High-energy gamma-ray sources in the VVV survey – I. The blazars. Monthly Notices of the Royal Astronomical Society. 491(3). 3448–3460. 4 indexed citations
6.
Pichel, A., et al.. (2019). Redshift of the Blazar KUV 00311-1938: Modeling the EBL Absorption. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 563–563. 1 indexed citations
7.
Supanitsky, A. D., et al.. (2018). Probing the IGMF with the Next Generation of Cherenkov Telescopes. Americanae (AECID Library). 4 indexed citations
8.
Rosa‐González, D., H. Muriel, Y. D. Mayya, et al.. (2018). New GTC spectroscopic data and a statistical study to better constrain the redshift of the BL Lac RGB J2243 + 203. Monthly Notices of the Royal Astronomical Society. 482(4). 5422–5429. 2 indexed citations
9.
Rovero, Adrián, H. Muriel, C. Donzelli, & A. Pichel. (2016). The BL-Lacertae gamma-ray blazar PKS 1424+240 associated with a group of galaxies at z = 0.6010. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 25 indexed citations
10.
Muriel, H., C. Donzelli, Adrián Rovero, & A. Pichel. (2014). The BL-Lac gamma-ray blazar PKS 0447-439 as a probable member of a group of galaxies atz= 0.343. Astronomy and Astrophysics. 574. A101–A101. 12 indexed citations
11.
Brack, J., A. Dorofeev, B. Gookin, et al.. (2013). Absolute calibration of a large-diameter light source. Journal of Instrumentation. 8(5). P05014–P05014. 4 indexed citations
12.
13.
Allard, D., I. Allekotte, C. Álvarez, et al.. (2008). Use of water-Cherenkov detectors to detect Gamma Ray Bursts at the Large Aperture GRB Observatory (LAGO). Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 595(1). 70–72. 25 indexed citations
14.
Allard, D., I. Allekotte, C. Álvarez, et al.. (2007). Looking for the high energy component of GRBs at the Large Aperture GRB Observatory. 3. 1103–1106. 2 indexed citations
15.
Etchegoyen, A., P. Bauleo, X. Bertou, et al.. (2005). Muon-track studies in a water Cherenkov detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 545(3). 602–612. 13 indexed citations
16.
Allekotte, I., P. Bauleo, C. Bonifazi, et al.. (2002). Site survey for the Pierre Auger observatory. Journal of Physics G Nuclear and Particle Physics. 28(6). 1499–1509. 1 indexed citations
17.
Chantell, M., C. Akerlof, J. Buckley, et al.. (1995). Gamma-Ray Observations in Moonlight with the Whipple Atmospheric Cherenkov Hybrid Camera. ICRC. 2. 544. 2 indexed citations
18.
Akerlof, C., J. H. Buckley, M. F. Cawley, et al.. (1995). Calibration Techniques for Air-Cherenkov Telescopes. ICRC. 3. 412.
19.
Vacanti, Giuseppe, P. Fleury, Yan-Fei Jiang, et al.. (1994). Muon ring images with an atmospheric Čerenkov telescope. Astroparticle Physics. 2(1). 1–11. 29 indexed citations
20.
Jiang, Yue, P. Fleury, D. A. Lewis, et al.. (1993). Absolute Calibration of an Atmospheric Cherenkov Telescope Using Muon Ring Images. 4. 662. 3 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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