A. D. Supanitsky

14.4k total citations
38 papers, 186 citations indexed

About

A. D. Supanitsky is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Radiation. According to data from OpenAlex, A. D. Supanitsky has authored 38 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Nuclear and High Energy Physics, 8 papers in Astronomy and Astrophysics and 2 papers in Radiation. Recurrent topics in A. D. Supanitsky's work include Astrophysics and Cosmic Phenomena (35 papers), Dark Matter and Cosmic Phenomena (26 papers) and Neutrino Physics Research (21 papers). A. D. Supanitsky is often cited by papers focused on Astrophysics and Cosmic Phenomena (35 papers), Dark Matter and Cosmic Phenomena (26 papers) and Neutrino Physics Research (21 papers). A. D. Supanitsky collaborates with scholars based in Argentina, Mexico and Spain. A. D. Supanitsky's co-authors include Gustavo Medina‐Tanco, A. Etchegoyen, V. de Souza, A. Etchegoyen, I. Allekotte, D. Ravignani, M. Gómez Berisso, Flavia Gesualdi, Juan Carlos D’Olivo and G. Ros and has published in prestigious journals such as Astronomy and Astrophysics, Physical review. D and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

A. D. Supanitsky

33 papers receiving 182 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. D. Supanitsky Argentina	8	172	44	9	8	6	38	186
I. Kudryashov Russia	6	114 0.7×	32 0.7×	11 1.2×	17 2.1×	5 0.8×	32	130
B. Vlček Czechia	6	116 0.7×	67 1.5×	14 1.6×	15 1.9×	4 0.7×	12	136
S. Kunori United States	5	100 0.6×	35 0.8×	21 2.3×	4 0.5×	15 2.5×	8	129
G. Sinnis United States	5	190 1.1×	110 2.5×	14 1.6×	3 0.4×	2 0.3×	13	198
B. F. Rauch United States	4	83 0.5×	62 1.4×	11 1.2×	9 1.1×	2 0.3×	23	98
L. A. Kuzmichev Russia	7	145 0.8×	36 0.8×	17 1.9×	4 0.5×		40	151
Adrián Rovero Argentina	5	121 0.7×	72 1.6×	10 1.1×	4 0.5×	1 0.2×	20	132
D. Podorozhny Russia	5	100 0.6×	27 0.6×	2 0.2×	18 2.3×	3 0.5×	21	107
A. A. Moiseev United States	6	70 0.4×	26 0.6×	28 3.1×	3 0.4×	4 0.7×	15	89
S. Andringa Portugal	6	88 0.5×	19 0.4×	8 0.9×	3 0.4×	1 0.2×	19	97

Countries citing papers authored by A. D. Supanitsky

Since Specialization

Citations

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

Fields of papers citing papers by A. D. Supanitsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. D. Supanitsky

This figure shows the co-authorship network connecting the top 25 collaborators of A. D. Supanitsky. A scholar is included among the top collaborators of A. D. Supanitsky 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. D. Supanitsky. A. D. Supanitsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Covilakam, Varada Varma Kizakke, A. D. Supanitsky, & D. Ravignani. (2023). Reconstruction of air shower muon lateral distribution functions using integrator and binary modes of underground muon detectors. The European Physical Journal C. 83(12).

Supanitsky, A. D.. (2020). Estimation of the number of muons with muon counters. Astroparticle Physics. 127. 102535–102535. 3 indexed citations

Gesualdi, Flavia, A. D. Supanitsky, & A. Etchegoyen. (2020). Muon deficit in air shower simulations estimated from AGASA muon measurements. Physical review. D. 101(8). 7 indexed citations

Supanitsky, A. D., et al.. (2018). Probing the IGMF with the Next Generation of Cherenkov Telescopes. Americanae (AECID Library). 4 indexed citations

Castelletti, G., et al.. (2018). Natal molecular cloud of SNR Kes 41. Complete characterisation. Springer Link (Chiba Institute of Technology). 1 indexed citations

Supanitsky, A. D., et al.. (2018). Origin of the light cosmic ray component below the ankle. Physical review. D. 98(10). 8 indexed citations

Castelletti, G., et al.. (2018). Unidentified γ-ray emission towards the SNR Kes 41 revisited. Astronomy and Astrophysics. 619. A109–A109. 3 indexed citations

Supanitsky, A. D., et al.. (2016). The environment of the gamma-ray emitting SNR G338.3-0.0: a hadronic interpretation for HESS J1640-465. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 4 indexed citations

Ravignani, D., A. D. Supanitsky, & D. Melo. (2016). Reconstruction of air shower muon densities using segmented counters with time resolution. Astroparticle Physics. 82. 108–116. 7 indexed citations

10.

Supanitsky, A. D., A. Etchegoyen, D. Melo, & F. Sánchez. (2015). A composition dependent energy scale and the determination of the cosmic ray primary mass in the ankle region. Astroparticle Physics. 68. 7–15. 1 indexed citations

11.

Guzmán, A., T. Mernik, A. D. Supanitsky, et al.. (2013). A study on JEM-EUSO’s trigger probability for neutrino-initiated EAS. International Cosmic Ray Conference. 33. 533.

12.

Supanitsky, A. D. & Gustavo Medina‐Tanco. (2011). The potential of the JEM-EUSO telescope for the astrophysics of extreme energy photons. International Cosmic Ray Conference. 2. 153.

13.

Rovero, Adrián, et al.. (2011). Optical performance related to mechanical deformations of a Davies-Cotton mount for the high energy section of the Cherenkov Telescope Array. ICRC. 9. 46.

14.

Supanitsky, A. D. & Gustavo Medina‐Tanco. (2011). Neutrino initiated cascades at mid and high altitudes in the atmosphere. Astroparticle Physics. 35(1). 8–16. 3 indexed citations

15.

Ros, G., A. D. Supanitsky, Gustavo Medina‐Tanco, et al.. (2011). A new composition-sensitive parameter for ultra-high energy cosmic rays. Astroparticle Physics. 35(3). 140–151. 12 indexed citations

16.

Supanitsky, A. D., Gustavo Medina‐Tanco, & A. Etchegoyen. (2008). A new numerical technique to determine primary cosmic ray composition in the ankle region. Astroparticle Physics. 31(2). 75–85. 3 indexed citations

17.

Supanitsky, A. D., Gustavo Medina‐Tanco, & A. Etchegoyen. (2008). On the possibility of primary identification of individual cosmic ray showers. Astroparticle Physics. 31(2). 116–127. 6 indexed citations

18.

Etchegoyen, A., D. Melo, A. D. Supanitsky, & M. C. Medina. (2007). Pierre Auger Enhancements: Transition from Galactic to Extragalactic Cosmic Ray Sources. AIP conference proceedings. 917. 210–218. 1 indexed citations

19.

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

20.

Génolini, B., et al.. (2001). DESIGN OF THE PHOTOMULTIPLIER BASES FOR THE SURFACE DETECTORS OF THE PIERRE AUGER OBSERVATORY. CERN Document Server (European Organization for Nuclear Research). 1 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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