Francesca Capel

667 total citations
27 papers, 112 citations indexed

About

Francesca Capel is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Atmospheric Science. According to data from OpenAlex, Francesca Capel has authored 27 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Nuclear and High Energy Physics, 12 papers in Astronomy and Astrophysics and 6 papers in Atmospheric Science. Recurrent topics in Francesca Capel's work include Astrophysics and Cosmic Phenomena (20 papers), Dark Matter and Cosmic Phenomena (14 papers) and Neutrino Physics Research (11 papers). Francesca Capel is often cited by papers focused on Astrophysics and Cosmic Phenomena (20 papers), Dark Matter and Cosmic Phenomena (14 papers) and Neutrino Physics Research (11 papers). Francesca Capel collaborates with scholars based in Sweden, Germany and Italy. Francesca Capel's co-authors include D. Mortlock, А. А. Белов, П. А. Климов, C. Finley, M. Casolino, М. Бертаина, L. W. Piotrowski, H. Miyamoto, Francesco Fenu and M. Mignone and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

Francesca Capel

23 papers receiving 98 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesca Capel Sweden 6 100 52 26 13 10 27 112
S. Westerhoff United States 8 109 1.1× 53 1.0× 15 0.6× 2 0.2× 13 1.3× 21 133
S. Sharakin Russia 4 40 0.4× 30 0.6× 11 0.4× 3 0.2× 4 0.4× 15 51
K. Kosack France 7 136 1.4× 105 2.0× 11 0.4× 2 0.2× 5 0.5× 21 146
C. Deil Germany 4 80 0.8× 53 1.0× 11 0.4× 2 0.2× 4 0.4× 5 92
Johannes Eser United States 6 71 0.7× 18 0.3× 7 0.3× 3 0.2× 4 0.4× 22 76
Е. Г. Ларионова Russia 5 57 0.6× 50 1.0× 6 0.2× 2 0.2× 4 0.4× 15 71
M. Mostafá United States 6 83 0.8× 39 0.8× 18 0.7× 12 1.2× 17 97
V. Verzi Italy 5 73 0.7× 29 0.6× 8 0.3× 2 0.2× 2 0.2× 15 82
Jan Ebr Czechia 5 34 0.3× 30 0.6× 20 0.8× 15 1.5× 28 67
V. Marandon France 6 119 1.2× 104 2.0× 11 0.4× 5 0.5× 25 136

Countries citing papers authored by Francesca Capel

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Capel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Capel

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Capel. A scholar is included among the top collaborators of Francesca Capel 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 Francesca Capel. Francesca Capel 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.
Capel, Francesca, et al.. (2025). Investigating the AGN-neutrino connection with public IceCube data. EPJ Web of Conferences. 319. 6004–6004. 1 indexed citations
2.
Capel, Francesca, et al.. (2025). Impact of Multimessenger Spectral Modeling on Blazar–Neutrino Associations. The Astrophysical Journal. 994(2). 136–136. 1 indexed citations
3.
Capel, Francesca, et al.. (2024). A Hierarchical Bayesian Approach to Point-source Analysis in High-energy Neutrino Telescopes. The Astrophysical Journal. 976(1). 127–127. 4 indexed citations
4.
Fedynitch, Anatoli, et al.. (2023). A Bayesian source association analysis of UHECRs: Impact of the Galactic magnetic field and composition. SHILAP Revista de lepidopterología. 283. 3009–3009. 1 indexed citations
5.
Aggarwal, R., M. Botje, A. Caldwell, Francesca Capel, & O. Schulz. (2023). Constraints on the Up-Quark Valence Distribution in the Proton. Physical Review Letters. 130(14). 141901–141901. 2 indexed citations
6.
Capel, Francesca, et al.. (2023). Evaluation of an FPGA-based fast machine-learning trigger for neutrino telescopes. Proceedings Of Science. 1104–1104. 1 indexed citations
7.
Capel, Francesca, et al.. (2023). Beyond the null hypothesis: Physics-driven searches for astrophysical neutrino sources. Proceedings Of Science. 1576–1576. 2 indexed citations
8.
Capel, Francesca, J. Michael Burgess, D. Mortlock, & P. Padovani. (2022). Assessing coincident neutrino detections using population models. Astronomy and Astrophysics. 668. A190–A190. 5 indexed citations
9.
Capel, Francesca. (2021). Evaluating cosmic coincidences in the context of astrophysical source populations. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 981–981. 1 indexed citations
10.
Capel, Francesca, D. Mortlock, & C. Finley. (2020). Bayesian constraints on the astrophysical neutrino source population from IceCube data. Physical review. D. 101(12). 22 indexed citations
11.
Barghini, D., Matteo Battisti, А. А. Белов, et al.. (2020). Meteor detection from space with Mini-EUSO telescope. 1 indexed citations
12.
Capel, Francesca, А. А. Белов, M. Casolino, et al.. (2019). Mini-EUSO (Extreme Universe Space Observatory) data acquisition and control software. arXiv (Cornell University).
13.
Shinozaki, K., Matteo Battisti, М. Бертаина, et al.. (2019). Trigger developments for the fluorescence detector of EUSO-TA and EUSO-SPB2. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 426–426. 1 indexed citations
14.
Capel, Francesca & D. Mortlock. (2019). Impact of using the ultrahigh-energy cosmic ray arrival energies to constrain source associations. Monthly Notices of the Royal Astronomical Society. 484(2). 2324–2340. 7 indexed citations
15.
Бертаина, М., E. Bertola, R. Bonino, et al.. (2017). Simulations of mini-EUSO observations of UV phenomena in the atmosphere. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 421–421. 2 indexed citations
16.
Capel, Francesca, et al.. (2017). The Mini-EUSO multi-level trigger algorithm and its performance. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 453–453. 5 indexed citations
17.
Piotrowski, L. W. & Francesca Capel. (2017). Mini-EUSO data processing and quasi-real time analysis. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 373–373. 3 indexed citations
18.
Casolino, M., А. А. Белов, М. Бертаина, et al.. (2017). Science of Mini-EUSO detector on board the International Space Station. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 369–369. 4 indexed citations
19.
Климов, П. А., et al.. (2017). Mini-EUSO photodetector module data processing system. Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017). 409–409. 5 indexed citations
20.
Белов, А. А., М. Бертаина, Francesca Capel, et al.. (2017). The integration and testing of the Mini-EUSO multi-level trigger system. Advances in Space Research. 62(10). 2966–2976. 17 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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