F. Di Renzo

45.5k total citations
9 papers, 82 citations indexed

About

F. Di Renzo is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Geophysics. According to data from OpenAlex, F. Di Renzo has authored 9 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 4 papers in Nuclear and High Energy Physics and 3 papers in Geophysics. Recurrent topics in F. Di Renzo's work include Pulsars and Gravitational Waves Research (9 papers), Seismic Waves and Analysis (3 papers) and Gamma-ray bursts and supernovae (3 papers). F. Di Renzo is often cited by papers focused on Pulsars and Gravitational Waves Research (9 papers), Seismic Waves and Analysis (3 papers) and Gamma-ray bursts and supernovae (3 papers). F. Di Renzo collaborates with scholars based in Italy, United Kingdom and United States. F. Di Renzo's co-authors include J. McIver, T. B. Littenberg, G. Ashton, I. M. Romero-Shaw, D. Davis, M. Millhouse, G. Hemming, F. Fidecaro, M. Razzano and S. Katsanevas and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

F. Di Renzo

7 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Di Renzo Italy 3 77 32 19 11 7 9 82
T. J. Massinger United States 5 120 1.6× 41 1.3× 18 0.9× 8 0.7× 10 1.4× 10 126
B. U. Gadre United States 7 116 1.5× 31 1.0× 21 1.1× 7 0.6× 11 1.6× 9 119
T. Yokozawa Japan 6 73 0.9× 33 1.0× 13 0.7× 21 1.9× 20 2.9× 16 91
K. Wiesner Germany 2 116 1.5× 24 0.8× 14 0.7× 5 0.5× 9 1.3× 2 123
C. McIsaac United Kingdom 5 135 1.8× 24 0.8× 14 0.7× 8 0.7× 11 1.6× 6 138
L. M. Modafferi Spain 4 46 0.6× 18 0.6× 10 0.5× 6 0.5× 5 0.7× 4 46
V. Necula United States 4 80 1.0× 34 1.1× 16 0.8× 4 0.4× 15 2.1× 5 89
Benjamin Knispel Germany 4 82 1.1× 18 0.6× 16 0.8× 9 0.8× 15 2.1× 6 87
P. B. Covas Spain 5 55 0.7× 15 0.5× 17 0.9× 8 0.7× 6 0.9× 5 56
S. Dorsher United States 3 64 0.8× 23 0.7× 10 0.5× 11 1.0× 7 1.0× 3 70

Countries citing papers authored by F. Di Renzo

Since Specialization
Citations

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

Fields of papers citing papers by F. Di Renzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Di Renzo. 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 F. Di Renzo. The network helps show where F. Di Renzo may publish in the future.

Co-authorship network of co-authors of F. Di Renzo

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

All Works

9 of 9 papers shown
1.
Buscicchio, R., Antoine Klein, Valeriya Korol, et al.. (2025). Test for LISA foreground Gaussianity and stationarity: galactic white-dwarf binaries. The European Physical Journal C. 85(8). 1 indexed citations
2.
Sorrentino, N., M. Razzano, F. Di Renzo, F. Fidecaro, & G. Hemming. (2024). NICE: A Web-Based Tool for the Characterization of Transient Noise in Gravitational Wave Detectors. SHILAP Revista de lepidopterología. 3(2). 169–182. 1 indexed citations
3.
Chan, M., J. McIver, A. Mahabal, et al.. (2024). GWSkyNet. II. A Refined Machine-learning Pipeline for Real-time Classification of Public Gravitational Wave Alerts. The Astrophysical Journal. 972(1). 50–50. 2 indexed citations
4.
Davis, D., T. B. Littenberg, I. M. Romero-Shaw, et al.. (2022). Subtracting glitches from gravitational-wave detector data during the third LIGO-Virgo observing run. Classical and Quantum Gravity. 39(24). 245013–245013. 45 indexed citations
5.
Renzo, F. Di. (2022). Gravitational-wave event validation by Advanced LIGO and Advanced Virgo detectors. Procedures and challenges for the upcoming observing runs. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 110–110.
6.
Renzo, F. Di, F. Fidecaro, G. Hemming, S. Katsanevas, & M. Razzano. (2022). GWitchHunters – A citizen science project for the improvement of gravitational wave detectors. Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022). 1152–1152. 1 indexed citations
7.
Razzano, M., F. Di Renzo, F. Fidecaro, G. Hemming, & S. Katsanevas. (2022). GWitchHunters: Machine learning and citizen science to improve the performance of gravitational wave detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1048. 167959–167959. 11 indexed citations
8.
Renzo, F. Di, et al.. (2022). REINFORCE-ing citizen science. Florence Research (University of Florence). 119–119.
9.
Fiori, I., F. Paoletti, M. C. Tringali, et al.. (2020). The Hunt for Environmental Noise in Virgo during the Third Observing Run. Galaxies. 8(4). 82–82. 21 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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