S. Garrappa

5.9k total citations
14 papers, 176 citations indexed

About

S. Garrappa is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, S. Garrappa has authored 14 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Nuclear and High Energy Physics, 7 papers in Astronomy and Astrophysics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in S. Garrappa's work include Astrophysics and Cosmic Phenomena (10 papers), Neutrino Physics Research (7 papers) and Radio Astronomy Observations and Technology (4 papers). S. Garrappa is often cited by papers focused on Astrophysics and Cosmic Phenomena (10 papers), Neutrino Physics Research (7 papers) and Radio Astronomy Observations and Technology (4 papers). S. Garrappa collaborates with scholars based in Germany, United States and Finland. S. Garrappa's co-authors include Vaidehi S. Paliya, Mattia Di Mauro, M. Ajello, A. Franckowiak, Walter Winter, Shan Gao, B. J. Shappee, J. F. Beacom, S. Buson and G. H. Collin and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron).

In The Last Decade

S. Garrappa

9 papers receiving 161 citations

Peers

S. Garrappa
M. Joshi United States
A. Gurrola United States
Dipan Sengupta India
W.E. Johns United States
Leonardo de Lima Brazil
Dorota Sokołowska Poland
Colin Turley United States
A. Franckowiak Germany
Sincheol Kang South Korea
M. Joshi United States
S. Garrappa
Citations per year, relative to S. Garrappa S. Garrappa (= 1×) peers M. Joshi

Countries citing papers authored by S. Garrappa

Since Specialization
Citations

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

Fields of papers citing papers by S. Garrappa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Garrappa

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

All Works

14 of 14 papers shown
1.
Garrappa, S., E. O. Ofek, Sagi Ben-Ami, et al.. (2025). Accurate photometric calibration by fitting the system transmission. Astronomy and Astrophysics. 699. A50–A50.
2.
Garrappa, S., S. Buson, A. Franckowiak, et al.. (2024). Fermi-LAT follow-up observations in seven years of real-time high-energy neutrino alerts. Astronomy and Astrophysics. 687. A59–A59. 3 indexed citations
3.
Jaeger, Thomas de, B. J. Shappee, C. S. Kochanek, et al.. (2023). Optical/γ-ray blazar flare correlations: understanding the high-energy emission process using ASAS-SN and Fermi light curves. Monthly Notices of the Royal Astronomical Society. 519(4). 6349–6380. 9 indexed citations
4.
Paliya, Vaidehi S., et al.. (2023). Leptohadronic multi-messenger modeling of 324 gamma-ray blazars. Astronomy and Astrophysics. 681. A119–A119. 25 indexed citations
5.
Garrappa, S., et al.. (2021). Fermi-LAT realtime follow-ups of high-energy neutrino alerts. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 956–956. 5 indexed citations
6.
Garrappa, S., et al.. (2020). Multi-wavelength and neutrino emission from blazar PKS 1502 + 106. DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron). 43 indexed citations
7.
Buson, S., S. Garrappa, & C. C. Cheung. (2020). Fermi-LAT evidence for VHE emission from NVSS J065844+063711. The astronomer's telegram. 14200. 1.
8.
Ajello, M., Mattia Di Mauro, Vaidehi S. Paliya, & S. Garrappa. (2020). The $\gamma$-ray Emission of Star-Forming Galaxies. DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron). 66 indexed citations
9.
Angioni, R., et al.. (2020). Fermi-LAT detection of a hard-spectrum GeV flare from the BL Lac B2 1811+31. The astronomer's telegram. 14060. 1.
10.
Garrappa, S. & S. Buson. (2019). Fermi-LAT detection of increasing gamma-ray activity of the blazar BL Lacertae. ATel. 12718. 1.
11.
Garrappa, S., et al.. (2019). DSpace@MIT (Massachusetts Institute of Technology). 22 indexed citations
12.
Garrappa, S., et al.. (2019). Cosmic@Web - Astroparticle learning platform for students. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 419–419. 1 indexed citations
13.
Liao, Neng-Hui, Yun-Feng Liang, Jin Chang, et al.. (2018). DAMPE detection of a GeV gamma-ray flare from blazar 3C 279. ATel. 11246. 1.
14.
Garrappa, S., F. Gargano, M. N. Mazziotta, P. Fusco, & F. Loparco. (2017). A Machine Learning classifier for photon selection with the DAMPE detector. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 764–764. 2 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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