O. J. Piccinni

73.2k total citations
29 papers, 447 citations indexed

About

O. J. Piccinni is a scholar working on Astronomy and Astrophysics, Oceanography and Geophysics. According to data from OpenAlex, O. J. Piccinni has authored 29 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Astronomy and Astrophysics, 12 papers in Oceanography and 9 papers in Geophysics. Recurrent topics in O. J. Piccinni's work include Pulsars and Gravitational Waves Research (29 papers), Geophysics and Gravity Measurements (12 papers) and Gamma-ray bursts and supernovae (9 papers). O. J. Piccinni is often cited by papers focused on Pulsars and Gravitational Waves Research (29 papers), Geophysics and Gravity Measurements (12 papers) and Gamma-ray bursts and supernovae (9 papers). O. J. Piccinni collaborates with scholars based in Italy, United States and France. O. J. Piccinni's co-authors include C. Palomba, P. Astone, P. Leaci, S. Mastrogiovanni, A. L. Miller, I. La Rosa, G. Intini, S. D’Antonio, 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

O. J. Piccinni

29 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
O. J. Piccinni Italy 12 422 137 87 79 78 29 447
P. Leaci Italy 13 512 1.2× 127 0.9× 131 1.5× 89 1.1× 133 1.7× 36 547
S. Mastrogiovanni Italy 16 809 1.9× 226 1.6× 125 1.4× 67 0.8× 61 0.8× 37 846
K. Ackley United States 9 582 1.4× 108 0.8× 60 0.7× 36 0.5× 109 1.4× 17 596
L. K. Nuttall United Kingdom 11 791 1.9× 216 1.6× 69 0.8× 46 0.6× 134 1.7× 20 804
M. Drago Italy 13 662 1.6× 95 0.7× 87 1.0× 41 0.5× 185 2.4× 28 680
S. D’Antonio Italy 9 264 0.6× 100 0.7× 51 0.6× 48 0.6× 43 0.6× 24 283
M. Pitkin United Kingdom 11 381 0.9× 70 0.5× 100 1.1× 45 0.6× 91 1.2× 27 387
I. La Rosa Italy 8 257 0.6× 97 0.7× 47 0.5× 43 0.5× 41 0.5× 13 272
T. L. Sidery United Kingdom 9 535 1.3× 79 0.6× 124 1.4× 109 1.4× 157 2.0× 9 549
Hsin-Yu Chen United States 14 1.1k 2.6× 225 1.6× 93 1.1× 49 0.6× 62 0.8× 26 1.1k

Countries citing papers authored by O. J. Piccinni

Since Specialization
Citations

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

Fields of papers citing papers by O. J. Piccinni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by O. J. Piccinni. 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 O. J. Piccinni. The network helps show where O. J. Piccinni may publish in the future.

Co-authorship network of co-authors of O. J. Piccinni

This figure shows the co-authorship network connecting the top 25 collaborators of O. J. Piccinni. A scholar is included among the top collaborators of O. J. Piccinni 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 O. J. Piccinni. O. J. Piccinni 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.
Ma, Sizheng, et al.. (2025). Statistical identification of ringdown modes with rational filters. Physical review. D. 112(6). 1 indexed citations
2.
Jones, D. H., Nils Siemonsen, L. Sun, et al.. (2025). Methodology for constraining ultralight vector bosons with gravitational wave searches targeting merger remnant black holes. Physical review. D. 111(6). 4 indexed citations
3.
Santoro, G. Caneva, Soumen Roy, Rodrigo Vicente, et al.. (2024). First Constraints on Compact Binary Environments from LIGO-Virgo Data. Physical Review Letters. 132(25). 251401–251401. 27 indexed citations
4.
Santoro, G. Caneva, Soumen Roy, Rodrigo Vicente, et al.. (2024). First constraints on binary black hole environments with LIGO-Virgo observations. Proceedings Of Science. 68–68. 2 indexed citations
5.
Miller, A. L., N. Aggarwal, Sébastien Clesse, et al.. (2024). Method to search for inspiraling planetary-mass ultracompact binaries using the generalized frequency-Hough transform in LIGO O3a data. Physical review. D. 110(8). 1 indexed citations
6.
Miller, A. L., N. Aggarwal, F. De Lillo, et al.. (2024). Gravitational Wave Constraints on Planetary-Mass Primordial Black Holes Using LIGO O3a Data. Physical Review Letters. 133(11). 111401–111401. 11 indexed citations
7.
Andrés‐Carcasona, M., et al.. (2023). BSD-COBI: New search pipeline to target inspiraling light dark compact objects.. 67–67. 2 indexed citations
8.
D’Onofrio, L., R. De Rosa, C. Palomba, et al.. (2023). Search for gravitational wave signals from known pulsars in LIGO-Virgo O3 data using the 5n-vector ensemble method. Physical review. D. 108(12). 3 indexed citations
9.
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
10.
Rosa, R. De, L. D’Onofrio, L. Errico, et al.. (2021). A method for detecting continuous gravitational wave signals from an ensemble of known pulsars. Classical and Quantum Gravity. 38(13). 135021–135021. 4 indexed citations
11.
Bersanetti, D., B. Patricelli, O. J. Piccinni, et al.. (2021). Advanced Virgo: Status of the Detector, Latest Results and Future Prospects. Universe. 7(9). 322–322. 18 indexed citations
12.
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
13.
Isi, M., S. Mastrogiovanni, M. Pitkin, & O. J. Piccinni. (2020). Establishing the significance of continuous gravitational-wave detections from known pulsars. Physical review. D. 102(12). 14 indexed citations
14.
Intini, G., P. Leaci, P. Astone, et al.. (2020). A Doppler-modulation based veto to discard false continuous gravitational-wave candidates. Classical and Quantum Gravity. 37(22). 225007–225007. 7 indexed citations
15.
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
16.
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
17.
Miller, A. L., P. Astone, G. Intini, et al.. (2018). Method to search for long duration gravitational wave transients from isolated neutron stars using the generalized frequency-Hough transform. Physical review. D. 98(10). 25 indexed citations
18.
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
19.
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
20.
Walsh, S., M. Pitkin, M. Oliver, et al.. (2016). Comparison of methods for the detection of gravitational waves from unknown neutron stars. Physical review. D. 94(12). 29 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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