S. D’Antonio

5.3k total citations
24 papers, 283 citations indexed

About

S. D’Antonio is a scholar working on Astronomy and Astrophysics, Oceanography and Geophysics. According to data from OpenAlex, S. D’Antonio has authored 24 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 11 papers in Oceanography and 6 papers in Geophysics. Recurrent topics in S. D’Antonio's work include Pulsars and Gravitational Waves Research (24 papers), Geophysics and Gravity Measurements (11 papers) and Seismic Waves and Analysis (5 papers). S. D’Antonio is often cited by papers focused on Pulsars and Gravitational Waves Research (24 papers), Geophysics and Gravity Measurements (11 papers) and Seismic Waves and Analysis (5 papers). S. D’Antonio collaborates with scholars based in Italy, France and United States. S. D’Antonio's co-authors include P. Astone, C. Palomba, P. Leaci, O. J. Piccinni, S. Mastrogiovanni, A. L. Miller, I. La Rosa, G. Intini, F. Muciaccia and S. Frasca and has published in prestigious journals such as Physical Review Letters, Physical review. D and Classical and Quantum Gravity.

In The Last Decade

S. D’Antonio

22 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. D’Antonio Italy 9 264 100 51 48 43 24 283
F. Muciaccia Italy 6 250 0.9× 94 0.9× 39 0.8× 35 0.7× 42 1.0× 14 268
V. Mandic United States 5 291 1.1× 123 1.2× 47 0.9× 30 0.6× 27 0.6× 11 317
I. La Rosa Italy 8 257 1.0× 97 1.0× 47 0.9× 43 0.9× 41 1.0× 13 272
G. Intini Italy 8 239 0.9× 87 0.9× 45 0.9× 32 0.7× 41 1.0× 11 258
P. Raffai Hungary 9 385 1.5× 94 0.9× 32 0.6× 28 0.6× 59 1.4× 18 412
O. J. Piccinni Italy 12 422 1.6× 137 1.4× 87 1.7× 79 1.6× 78 1.8× 29 447
Drew Keppel Germany 12 372 1.4× 50 0.5× 74 1.5× 24 0.5× 80 1.9× 18 382
R. K. L. Lo United States 10 283 1.1× 62 0.6× 33 0.6× 23 0.5× 25 0.6× 17 292
S. J. Kapadia India 13 567 2.1× 110 1.1× 76 1.5× 34 0.7× 91 2.1× 36 581
P. M. Meyers United States 10 351 1.3× 92 0.9× 83 1.6× 46 1.0× 61 1.4× 29 383

Countries citing papers authored by S. D’Antonio

Since Specialization
Citations

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

Fields of papers citing papers by S. D’Antonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. D’Antonio

This figure shows the co-authorship network connecting the top 25 collaborators of S. D’Antonio. A scholar is included among the top collaborators of S. D’Antonio 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. D’Antonio. S. D’Antonio 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.
Leaci, P., P. Astone, S. D’Antonio, et al.. (2025). A directed continuous-wave search from Scorpius X-1 with the five-vector resampling technique. Classical and Quantum Gravity. 42(14). 145008–145008. 1 indexed citations
2.
Rosa, I. La, P. Leaci, P. Astone, et al.. (2025). Harnessing the potential of pystoch: Detecting continuous gravitational waves from interesting supernova remnant targets. Physical review. D. 112(8).
3.
Mirasola, L., Nils Siemonsen, C. Palomba, et al.. (2025). Search for continuous gravitational wave signals from luminous dark photon superradiance clouds with LVK O3 observations. Physical review. D. 111(8). 5 indexed citations
4.
D’Onofrio, L., P. Astone, Stefano Dal Pra, et al.. (2024). Two sides of the same coin: the F -statistic and the 5-vector method. Classical and Quantum Gravity. 42(1). 15005–15005. 3 indexed citations
5.
Palomba, C., P. Astone, S. Dall’Osso, et al.. (2024). Neural network method to search for long transient gravitational waves. Physical review. D. 110(10). 2 indexed citations
6.
D’Antonio, S., C. Palomba, P. Astone, et al.. (2023). Semicoherent method to search for continuous gravitational waves. Physical review. D. 108(12). 3 indexed citations
7.
Miller, A. L., P. Astone, G. Bruno, et al.. (2021). Probing new light gauge bosons with gravitational-wave interferometers using an adapted semicoherent method. Physical review. D. 103(10). 17 indexed citations
8.
D’Antonio, S., C. Palomba, S. Frasca, et al.. (2021). Sidereal filtering: A novel robust method to search for continuous gravitational waves. Physical review. D. 103(6). 5 indexed citations
9.
Singhal, A., P. Leaci, P. Astone, et al.. (2019). A resampling algorithm to detect continuous gravitational-wave signals from neutron stars in binary systems. Classical and Quantum Gravity. 36(20). 205015–205015. 8 indexed citations
10.
Palomba, C., S. D’Antonio, P. Astone, et al.. (2019). Direct Constraints on the Ultralight Boson Mass from Searches of Continuous Gravitational Waves. Physical Review Letters. 123(17). 171101–171101. 88 indexed citations
11.
Miller, A. L., P. Astone, S. D’Antonio, et al.. (2019). How effective is machine learning to detect long transient gravitational waves from neutron stars in a real search?. Physical review. D. 100(6). 44 indexed citations
12.
D’Antonio, S., C. Palomba, P. Astone, et al.. (2018). Semicoherent analysis method to search for continuous gravitational waves emitted by ultralight boson clouds around spinning black holes. Physical review. D. 98(10). 36 indexed citations
13.
Mastrogiovanni, S., P. Astone, S. D’Antonio, et al.. (2017). An improved algorithm for narrow-band searches of continuous gravitational waves. Classical and Quantum Gravity. 34(13). 135007–135007. 11 indexed citations
14.
Astone, P., M. Bassan, E. Coccia, et al.. (2013). Quark nuggets search using 2350 Kg gravitational waves aluminum bar detectors. arXiv (Cornell University). 33. 522.
15.
Astone, P., et al.. (2012). Coherent search of continuous gravitational wave signals: extension of the 5-vectors method to a network of detectors. Journal of Physics Conference Series. 363. 12038–12038. 10 indexed citations
16.
D’Antonio, S., et al.. (2009). Spectral filtering for CW searches. Classical and Quantum Gravity. 26(20). 204012–204012. 2 indexed citations
17.
Antonucci, F., et al.. (2008). Detection of periodic gravitational wave sources by Hough transform in the f versus \skew6\dot f plane. Classical and Quantum Gravity. 25(18). 184015–184015. 19 indexed citations
18.
D’Antonio, S., Archana Pai, & P. Astone. (2006). Validating delta-filters for resonant bar detectors of improved bandwidth foreseeing the future coincidence with interferometers. Journal of Physics Conference Series. 32. 192–197. 2 indexed citations
19.
D’Antonio, S.. (2002). The online data filters for Explorer and Nautilus. Classical and Quantum Gravity. 19(7). 1499–1505. 3 indexed citations
20.
Astone, P., S. D’Antonio, & G. Pizzella. (2000). Time dispersion and efficiency of coincident detection of signals in resonant bar gravitational wave detectors. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 62(4). 3 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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