А. Бемпорад

2.9k total citations
109 papers, 1.2k citations indexed

About

А. Бемпорад is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, А. Бемпорад has authored 109 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Astronomy and Astrophysics, 13 papers in Aerospace Engineering and 11 papers in Molecular Biology. Recurrent topics in А. Бемпорад's work include Solar and Space Plasma Dynamics (100 papers), Stellar, planetary, and galactic studies (60 papers) and Ionosphere and magnetosphere dynamics (54 papers). А. Бемпорад is often cited by papers focused on Solar and Space Plasma Dynamics (100 papers), Stellar, planetary, and galactic studies (60 papers) and Ionosphere and magnetosphere dynamics (54 papers). А. Бемпорад collaborates with scholars based in Italy, United States and Belgium. А. Бемпорад's co-authors include G. Poletto, Salvatore Mancuso, Roberto Susino, M. Romoli, M. Mierla, J. C. Raymond, L. Abbo, C. Jacobs, Stefaan Poedts and F. Frassati and has published in prestigious journals such as The Astrophysical Journal, Geophysical Research Letters and Astronomy and Astrophysics.

In The Last Decade

А. Бемпорад

103 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
А. Бемпорад Italy 19 1.1k 219 85 53 35 109 1.2k
Andrew Driesman United States 6 800 0.7× 181 0.8× 85 1.0× 32 0.6× 40 1.1× 8 836
N. J. Fox United States 3 758 0.7× 171 0.8× 82 1.0× 24 0.5× 39 1.1× 5 784
M. B. Kusterer United States 3 826 0.7× 226 1.0× 81 1.0× 21 0.4× 38 1.1× 3 849
Yuanyong Deng China 18 1.2k 1.1× 317 1.4× 124 1.5× 29 0.5× 16 0.5× 125 1.3k
Lidong Xia China 22 1.4k 1.2× 346 1.6× 90 1.1× 22 0.4× 47 1.3× 90 1.4k
Amir Caspi United States 11 746 0.7× 93 0.4× 130 1.5× 58 1.1× 23 0.7× 44 803
Cooper Downs United States 23 1.3k 1.1× 285 1.3× 138 1.6× 17 0.3× 30 0.9× 70 1.3k
Jiangtao Su China 20 1.3k 1.1× 353 1.6× 141 1.7× 20 0.4× 23 0.7× 95 1.3k
David Alexander United States 19 930 0.8× 211 1.0× 69 0.8× 27 0.5× 13 0.4× 44 982
L. Teriaca Germany 20 1.1k 0.9× 210 1.0× 111 1.3× 22 0.4× 15 0.4× 78 1.1k

Countries citing papers authored by А. Бемпорад

Since Specialization
Citations

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

Fields of papers citing papers by А. Бемпорад

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. Бемпорад

This figure shows the co-authorship network connecting the top 25 collaborators of А. Бемпорад. A scholar is included among the top collaborators of А. Бемпорад 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 А. Бемпорад. А. Бемпорад 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.
2.
Бемпорад, А., et al.. (2023). Two-dimensional MHD modelling of switchbacks from jetlets in the slow solar wind. Astronomy and Astrophysics. 679. L14–L14.
3.
Бемпорад, А., Francesco Marchetti, Federico Benvenuto, et al.. (2023). Physics-driven Machine Learning for the Prediction of Coronal Mass Ejections’ Travel Times. The Astrophysical Journal. 954(2). 151–151. 11 indexed citations
4.
Vásquez, A. M., F. Frassati, А. Бемпорад, et al.. (2022). Tomography of the Solar Corona with the Metis Coronagraph I: Predictive Simulations with Visible-Light Images. Solar Physics. 297(9). 3 indexed citations
5.
Mancuso, Salvatore, D. Barghini, А. Бемпорад, et al.. (2022). Three-dimensional reconstruction of type U radio bursts: a novel remote sensing approach for coronal loops. Astronomy and Astrophysics. 669. A28–A28. 2 indexed citations
6.
Frassati, F., Monica Laurenza, А. Бемпорад, et al.. (2022). Acceleration of Solar Energetic Particles through CME-driven Shock and Streamer Interaction. The Astrophysical Journal. 926(2). 227–227. 7 indexed citations
7.
Pagano, P., et al.. (2021). Tracing the ICME plasma with a MHD simulation. Astronomy and Astrophysics. 654. L3–L3. 2 indexed citations
8.
Бемпорад, А., S. Giordano, L. Zangrilli, & F. Frassati. (2021). Combining white light and UV Lyman-αcoronagraphic images to determine the solar wind speed. Astronomy and Astrophysics. 654. A58–A58. 8 indexed citations
9.
Mancuso, Salvatore, А. Бемпорад, F. Frassati, et al.. (2021). Radio evidence for a shock wave reflected by a coronal hole. Astronomy and Astrophysics. 651. L14–L14. 10 indexed citations
10.
Heinzel, P., Jiří Štěpán, А. Бемпорад, et al.. (2020). On the Possibility of Detecting Helium D3 Line Polarization with Metis. The Astrophysical Journal. 900(1). 8–8. 5 indexed citations
11.
Pagano, P., А. Бемпорад, & D. H. Mackay. (2020). Hydrogen non-equilibrium ionisation effects in coronal mass ejections. Astronomy and Astrophysics. 637. A49–A49. 6 indexed citations
12.
Frassati, F., Roberto Susino, Salvatore Mancuso, & А. Бемпорад. (2019). Comprehensive Analysis of the Formation of a Shock Wave Associated with a Coronal Mass Ejection. The Astrophysical Journal. 871(2). 212–212. 17 indexed citations
13.
Telloni, Daniele, E. Antonucci, А. Бемпорад, et al.. (2019). Detection of Coronal Mass Ejections at L1 and Forecast of Their Geoeffectiveness. The Astrophysical Journal. 885(2). 120–120. 18 indexed citations
14.
Frassati, F., Roberto Susino, Salvatore Mancuso, & А. Бемпорад. (2019). Kinematics of a compression front associated with a Coronal Mass Ejection. 42(1). 35. 1 indexed citations
15.
Бемпорад, А. & P. Pagano. (2015). Uncertainties in polarimetric 3D reconstructions of coronal mass ejections. Springer Link (Chiba Institute of Technology). 8 indexed citations
16.
Andretta, V., А. Бемпорад, Mauro Focardi, et al.. (2014). On-board detection and removal of cosmic ray and solar energetic particle signatures for the Solar Orbiter-METIS coronagraph. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9152. 91522Q–91522Q. 2 indexed citations
17.
Dolei, S., А. Бемпорад, & D. Spadaro. (2014). Measurements with STEREO/COR1 data of drag forces acting on small-scale blobs falling in the intermediate corona. Springer Link (Chiba Institute of Technology). 18 indexed citations
18.
Бемпорад, А., Silvano Fineschi, Mauro Focardi, et al.. (2014). HeMISE (Helio-Magnetism Investigation from the Sun to Earth): a twin spacecraft mission at the Sun-Earth Lagrangian points L4 and L5. 40. 1 indexed citations
19.
Бемпорад, А., et al.. (2013). Characteristics of polar coronal hole jets. Springer Link (Chiba Institute of Technology). 8 indexed citations
20.
Zuccarello, F., А. Бемпорад, C. Jacobs, M. Mierla, & Stefaan Poedts. (2012). The role of streamers in the deflection of coronal mass ejections: comparison between STEREO 3D reconstructions and numerical simulations. AGU Fall Meeting Abstracts. 2012. 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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