Fabio De Colle

2.3k total citations
61 papers, 1.1k citations indexed

About

Fabio De Colle is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Computational Mechanics. According to data from OpenAlex, Fabio De Colle has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Astronomy and Astrophysics, 19 papers in Nuclear and High Energy Physics and 3 papers in Computational Mechanics. Recurrent topics in Fabio De Colle's work include Gamma-ray bursts and supernovae (32 papers), Pulsars and Gravitational Waves Research (18 papers) and Astrophysical Phenomena and Observations (17 papers). Fabio De Colle is often cited by papers focused on Gamma-ray bursts and supernovae (32 papers), Pulsars and Gravitational Waves Research (18 papers) and Astrophysical Phenomena and Observations (17 papers). Fabio De Colle collaborates with scholars based in Mexico, United States and Ireland. Fabio De Colle's co-authors include Diego López-Cámara, E. Ramírez-Ruiz, A. C. Raga, Enrique Moreno Méndez, Jonathan Granot, W. J. Henney, Garrelt Mellema, S. J. Arthur, P. F. Velázquez and A. Esquivel and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Journal of Fluid Mechanics.

In The Last Decade

Fabio De Colle

59 papers receiving 1.0k citations

Peers

Fabio De Colle

NHEP

AMPO

SPECT

EEE

D. K. Sahu India

K. Masai Japan

Mark Hurwitz United States

J. Cottam United States

Franz-Josef Hambsch Belgium

J. P. Morgenthaler United States

S. Palmerini Italy

David Schiminovich United States

Maurice A. Leutenegger United States

D. Lemke Germany

D. K. Sahu India

Fabio De Colle

1.1k ×1.1

276 ×0.8

NHEP

28 ×0.6

AMPO

29 ×0.7

SPECT

34 ×0.8

EEE

Citations per year, relative to Fabio De Colle Fabio De Colle (= 1×) peers D. K. Sahu

Countries citing papers authored by Fabio De Colle

Since Specialization

Citations

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

Fields of papers citing papers by Fabio De Colle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabio De Colle. 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 Fabio De Colle. The network helps show where Fabio De Colle may publish in the future.

Co-authorship network of co-authors of Fabio De Colle

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Colle, Fabio De, et al.. (2025). Numerical simulations of the interaction between the stellar magnetic field and a planet. Monthly Notices of the Royal Astronomical Society. 539(4). 3459–3472.

Alexander, K. D., R. Margutti, M. H. Wieringa, et al.. (2024). The Peculiar Radio Evolution of the Tidal Disruption Event ASASSN-19bt. The Astrophysical Journal. 974(1). 18–18. 8 indexed citations

Becerra, R. L., et al.. (2024). ClassiPyGRB: Machine Learning-Based Classification andVisualization of Gamma Ray Bursts using t-SNE. The Journal of Open Source Software. 9(96). 5923–5923. 1 indexed citations

Becerra, R. L., et al.. (2023). Unraveling parameter degeneracy in GRB data analysis. Monthly Notices of the Royal Astronomical Society. 527(3). 6752–6762. 3 indexed citations

Becerra, R. L., A. M. Watson, Fabio De Colle, et al.. (2023). Machine-learning enhanced photometric analysis of the extremely bright GRB 210822A. Monthly Notices of the Royal Astronomical Society. 527(3). 8140–8150. 2 indexed citations

Becerra, R. L., et al.. (2023). Identification of Extended Emission Gamma-Ray Burst Candidates Using Machine Learning. The Astrophysical Journal. 951(1). 4–4. 8 indexed citations

Colle, Fabio De, et al.. (2021). Transient time-delay focusing of shock waves in thin liquids. Journal of Fluid Mechanics. 910. 6 indexed citations

Izzo, L., Katie Auchettl, J. Hjorth, et al.. (2020). Broad-line type Ic SN 2020bvc. Astronomy and Astrophysics. 639. L11–L11. 23 indexed citations

Veysset, David, Leora E. Dresselhaus‐Marais, Fabio De Colle, et al.. (2018). Single-bubble and multibubble cavitation in water triggered by laser-driven focusing shock waves. Physical review. E. 97(5). 53112–53112. 25 indexed citations

10.

Colle, Fabio De, Wenbin Lu, Pawan Kumar, E. Ramírez-Ruiz, & George F. Smoot. (2018). Thermal and non-thermal emission from the cocoon of a gamma-ray burst jet. Monthly Notices of the Royal Astronomical Society. 478(4). 4553–4564. 30 indexed citations

11.

Velázquez, P. F., E. Giacani, Juan C. Toledo-Roy, et al.. (2017). Origin of the bilateral structure of the supernova remnant G296.5+10. Monthly Notices of the Royal Astronomical Society. 472(2). 2117–2125. 7 indexed citations

12.

Méndez, Enrique Moreno, Diego López-Cámara, & Fabio De Colle. (2017). Dynamics of jets during the common-envelope phase. Monthly Notices of the Royal Astronomical Society. 470(3). 2929–2937. 39 indexed citations

13.

Gracia, José, Fabio De Colle, & T. P. Downes. (2009). Jets from young stars V : high performance computing and applications. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

14.

Cabrit, S., M. Camenzind, A. Ciardi, et al.. (2009). Dynamics of magnetized YSO jets: Examples of results from the JETSET network. IRIS Research product catalog (Sapienza University of Rome). 36(2). 171–178. 6 indexed citations

15.

Colle, Fabio De, C. del Burgo, & A. C. Raga. (2008). Diagnostics of inhomogeneous stellar jets. Astronomy and Astrophysics. 485(3). 765–772. 3 indexed citations

16.

Raga, A. C., Fabio De Colle, Primož Kajdič, A. Esquivel, & J. Cantó. (2007). High resolution simulations of a variable HH jet. Astronomy and Astrophysics. 465(3). 879–885. 25 indexed citations

17.

Esquivel, A., A. C. Raga, & Fabio De Colle. (2007). A 3-mode variable ejection velocity, precessing jet model for HH 30. Astronomy and Astrophysics. 468(2). 613–616. 7 indexed citations

18.

Colle, Fabio De & A. C. Raga. (2006). MHD simulations of radiative jets from young stellar objects. Springer Link (Chiba Institute of Technology). 32 indexed citations

19.

Cerqueira, A. H., et al.. (2006). Emission lines from rotating proto-stellar jets with variable velocity profiles. Astronomy and Astrophysics. 448(1). 231–241. 31 indexed citations

20.

̃Riccardi, C., R Barni, Fabio De Colle, & M. Fontanesi. (1999). Analysis of the diffusion with negative ions in a SF6 plasma. Technical Physics. 40(1). 221–224. 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.

Explore authors with similar magnitude of impact