M. Zanolin

60.1k total citations
29 papers, 356 citations indexed

About

M. Zanolin is a scholar working on Astronomy and Astrophysics, Oceanography and Nuclear and High Energy Physics. According to data from OpenAlex, M. Zanolin has authored 29 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Astronomy and Astrophysics, 9 papers in Oceanography and 9 papers in Nuclear and High Energy Physics. Recurrent topics in M. Zanolin's work include Pulsars and Gravitational Waves Research (18 papers), Gamma-ray bursts and supernovae (10 papers) and Astrophysics and Cosmic Phenomena (7 papers). M. Zanolin is often cited by papers focused on Pulsars and Gravitational Waves Research (18 papers), Gamma-ray bursts and supernovae (10 papers) and Astrophysics and Cosmic Phenomena (7 papers). M. Zanolin collaborates with scholars based in United States, Mexico and United Kingdom. M. Zanolin's co-authors include Kiranjyot Gill, Nicholas C. Makris, Aaron M. Thode, Haakon Andresen, S. Vitale, A. L. Stuver, Ewald Müller, Hans‐Thomas Janka, S. E. Gossan and P. J. Sutton and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and The Journal of the Acoustical Society of America.

In The Last Decade

M. Zanolin

27 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Zanolin United States 10 283 132 64 53 34 29 356
D. Thornton United Kingdom 4 615 2.2× 146 1.1× 28 0.4× 36 0.7× 10 0.3× 5 692
P. Cañizares United Kingdom 9 316 1.1× 92 0.7× 51 0.8× 48 0.9× 25 0.7× 15 346
Chad Hanna United States 11 376 1.3× 79 0.6× 49 0.8× 73 1.4× 14 0.4× 19 411
Vishal Gajjar United States 12 473 1.7× 130 1.0× 27 0.4× 38 0.7× 13 0.4× 49 503
O. K. Cheremnykh Ukraine 12 451 1.6× 85 0.6× 96 1.5× 161 3.0× 6 0.2× 113 496
V. Tiwari United Kingdom 11 568 2.0× 84 0.6× 68 1.1× 123 2.3× 25 0.7× 17 582
M. L. Parkinson Australia 16 624 2.2× 83 0.6× 81 1.3× 256 4.8× 8 0.2× 53 681
S. А. Tyul’bashev Russia 12 537 1.9× 239 1.8× 74 1.2× 23 0.4× 31 0.9× 101 546
P. M. Meyers United States 10 351 1.2× 92 0.7× 83 1.3× 61 1.2× 24 0.7× 29 383
Matthias U. Kruckow United Kingdom 12 975 3.4× 88 0.7× 56 0.9× 76 1.4× 22 0.6× 25 1.0k

Countries citing papers authored by M. Zanolin

Since Specialization
Citations

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

Fields of papers citing papers by M. Zanolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Zanolin

This figure shows the co-authorship network connecting the top 25 collaborators of M. Zanolin. A scholar is included among the top collaborators of M. Zanolin 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 M. Zanolin. M. Zanolin 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.
Moreno, Claudia, et al.. (2025). Parameter estimation from the core-bounce phase of rotating core collapse supernovae in real interferometer noise. Classical and Quantum Gravity. 42(11). 115001–115001. 1 indexed citations
2.
Mezzacappa, Anthony, M. Zanolin, Eric J. Lentz, et al.. (2024). Dependence of the reconstructed core-collapse supernova gravitational wave high-frequency feature on the nuclear equation of state in real interferometric data. Physical review. D. 110(8). 2 indexed citations
3.
4.
Lin, Zidu, et al.. (2023). Characterizing a supernova’s standing accretion shock instability with neutrinos and gravitational waves. Physical review. D. 107(8). 8 indexed citations
5.
Jones, P. B., et al.. (2023). Gravito-optics and intensity correlations for binary inspiral signal detections. International Journal of Modern Physics A. 38(06n07). 1 indexed citations
6.
Gill, Kiranjyot, G. Hosseinzadeh, E. Berger, M. Zanolin, & M. J. Szczepańczyk. (2022). Constraining the Time of Gravitational Wave Emission from Core-Collapse Supernovae. arXiv (Cornell University). 5 indexed citations
7.
Lin, Zidu, Cecilia Lunardini, M. Zanolin, Kei Kotake, & C. J. Richardson. (2020). Detectability of standing accretion shock instabilities activity in supernova neutrino signals. Physical review. D. 101(12). 9 indexed citations
8.
Andresen, Haakon, Ewald Müller, Hans‐Thomas Janka, et al.. (2019). Gravitational waves from 3D core-collapse supernova models: The impact of moderate progenitor rotation. Monthly Notices of the Royal Astronomical Society. 486(2). 2238–2253. 78 indexed citations
9.
Gill, Kiranjyot, M. Branchesi, M. Zanolin, & M. J. Szczepańczyk. (2017). Prospects for Gravitational Wave Searches for Core-Collapse Supernovae within the Local Universe. Bulletin of the American Physical Society. 2017.
10.
Vitale, S. & M. Zanolin. (2011). Application of asymptotic expansions for maximum likelihood estimators’ errors to gravitational waves from inspiraling binary systems: The network case. Physical review. D. Particles, fields, gravitation, and cosmology. 84(10). 25 indexed citations
11.
Zanolin, M., et al.. (2010). General second-order covariance of Gaussian maximum likelihood estimates applied to passive source localization in fluctuating waveguides. The Journal of the Acoustical Society of America. 128(5). 2635–2651. 1 indexed citations
12.
Markowitz, J., M. Zanolin, L. Cadonati, & E. Katsavounidis. (2008). Gravitational wave burst source direction estimation using time and amplitude information. Physical review. D. Particles, fields, gravitation, and cosmology. 78(12). 10 indexed citations
13.
Cadonati, L., Lucio Baggio, I. S. Heng, et al.. (2005). The AURIGA–LIGO joint burst search. Classical and Quantum Gravity. 22(18). S1337–S1347. 2 indexed citations
14.
Makris, Nicholas C., et al.. (2004). Obtaining optimal time-delay, source localization and tracking estimates in free space and in an ocean waveguide. The Journal of the Acoustical Society of America. 116(4_Supplement). 2606–2606. 2 indexed citations
15.
Ratilal, Purnima, et al.. (2004). Optimal passive source localization in a fluctuating ocean waveguide based on an analytic model for the mean field and covariance. The Journal of the Acoustical Society of America. 115(5_Supplement). 2473–2473. 2 indexed citations
16.
17.
Makris, Nicholas C., et al.. (2001). Probing Europa's Interior Structure With Natural Ambient Noise. AGUFM. 2001. 1 indexed citations
18.
Thode, Aaron M., M. Zanolin, Sunwoong Lee, et al.. (2001). The other ocean: probing Europa’s interior with natural ambient noise sources. The Journal of the Acoustical Society of America. 109(5_Supplement). 2371–2371.
19.
Zanolin, M., et al.. (2000). Active Control of Noise by Wave Field Synthesis. Journal of the Audio Engineering Society. 4 indexed citations
20.
Farina, Angelo, et al.. (2000). Measurement of Sound Scattering Properties of Diffusing Panels through the Wave Field Synthesis Approach. Journal of the Audio Engineering Society. 1 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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