M. Cavaglià

89.1k total citations
65 papers, 1.5k citations indexed

About

M. Cavaglià is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, M. Cavaglià has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Astronomy and Astrophysics, 43 papers in Nuclear and High Energy Physics and 18 papers in Statistical and Nonlinear Physics. Recurrent topics in M. Cavaglià's work include Cosmology and Gravitation Theories (46 papers), Black Holes and Theoretical Physics (41 papers) and Noncommutative and Quantum Gravity Theories (18 papers). M. Cavaglià is often cited by papers focused on Cosmology and Gravitation Theories (46 papers), Black Holes and Theoretical Physics (41 papers) and Noncommutative and Quantum Gravity Theories (18 papers). M. Cavaglià collaborates with scholars based in United States, Italy and United Kingdom. M. Cavaglià's co-authors include Vítor Cardoso, Leonardo Gualtieri, Emanuele Berti, B. Bolen, Mariano Cadoni, Eun-Joo Ahn, Jaime S. Cardoso, Angela V. Olinto, Paolo Pani and V. de Alfaro and has published in prestigious journals such as Physical Review Letters, The Astrophysical Journal and Physics Letters B.

In The Last Decade

M. Cavaglià

63 papers receiving 1.5k 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. Cavaglià United States 21 1.4k 1.2k 458 181 44 65 1.5k
Carlos F. Sopuerta Spain 23 1.7k 1.3× 1.1k 0.9× 182 0.4× 82 0.5× 68 1.5× 70 1.9k
Rodolfo Russo United Kingdom 25 1.4k 1.0× 1.6k 1.3× 440 1.0× 137 0.8× 40 0.9× 57 1.8k
Dejan Stojković United States 30 2.3k 1.7× 2.1k 1.8× 478 1.0× 463 2.6× 15 0.3× 98 2.5k
H. Shinkai Japan 15 709 0.5× 545 0.5× 110 0.2× 307 1.7× 31 0.7× 42 1.0k
Yu-tin Huang Taiwan 17 612 0.4× 852 0.7× 178 0.4× 83 0.5× 21 0.5× 24 998
I. D. Novikov Russia 22 1.4k 1.0× 787 0.7× 179 0.4× 132 0.7× 38 0.9× 78 1.5k
C. V. Vishveshwara India 19 1.4k 1.0× 1.1k 0.9× 284 0.6× 190 1.0× 57 1.3× 65 1.6k
B. Linet France 17 1.1k 0.8× 787 0.7× 291 0.6× 516 2.9× 14 0.3× 48 1.3k
Tekin Dereli Türkiye 18 852 0.6× 790 0.7× 353 0.8× 108 0.6× 12 0.3× 120 1.1k
Vilson T. Zanchin Brazil 21 1.8k 1.3× 1.6k 1.3× 326 0.7× 187 1.0× 34 0.8× 55 2.0k

Countries citing papers authored by M. Cavaglià

Since Specialization
Citations

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

Fields of papers citing papers by M. Cavaglià

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Cavaglià. A scholar is included among the top collaborators of M. Cavaglià 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. Cavaglià. M. Cavaglià 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.
Cuoco, E., M. Cavaglià, I. S. Heng, D. Keitel, & C. Messenger. (2025). Applications of machine learning in gravitational-wave research with current interferometric detectors. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 28(1). 7 indexed citations
2.
Berbel, M., M. Miravet-Tenés, Sushant Sharma Chaudhary, et al.. (2024). Bayesian real-time classification of multi-messenger electromagnetic and gravitational-wave observations. Classical and Quantum Gravity. 41(8). 85012–85012. 5 indexed citations
3.
Portilla, M. Lopez, A. L. Miller, S. Schmidt, et al.. (2024). Detection of anomalies amongst LIGO’s glitch populations with autoencoders. Classical and Quantum Gravity. 41(5). 55004–55004. 4 indexed citations
4.
Zheng, Y., N. Kouvatsos, Jacob Golomb, et al.. (2023). Angular Power Spectrum of Gravitational-Wave Transient Sources as a Probe of the Large-Scale Structure. Physical Review Letters. 131(17). 3 indexed citations
5.
Zheng, Y., M. Cavaglià, R. Quitzow-James, & K. Mogushi. (2021). A Needle in (Many) Haystacks: Using the False Alarm Rate to Sift Gravitational Waves from Noise. Significance. 18(1). 26–31. 1 indexed citations
6.
Piotrzkowski, B. J., et al.. (2020). Modeling spurious forces on the LISA spacecraft across a full solar cycle. Classical and Quantum Gravity. 37(17). 175007–175007. 7 indexed citations
7.
Cuoco, E., I. S. Heng, José A. Font, et al.. (2017). Strategy for signal classification to improve data quality for Advanced Detectors gravitational-wave searches. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 40(3). 124. 1 indexed citations
8.
Cavaglià, M. & Saurya Das. (2015). How classical are TeV-scale black holes?. Open ULeth Scholarship (OPUS) (University of Lethbridge). 25 indexed citations
9.
Cavaglià, M., M. Hendry, D. R. Ingram, et al.. (2008). Gravitational-wave Astronomy: Opening a New Window on the Universe for Students, Educators and the Public. Max Planck Digital Library. 400. 328–332. 1 indexed citations
10.
Cavaglià, M., R. Godang, L. Cremaldi, & D. J. Summers. (2007). Catfish: A Monte Carlo simulator for black holes at the LHC. Computer Physics Communications. 177(6). 506–517. 31 indexed citations
11.
Cardoso, Vítor, M. Cavaglià, & Leonardo Gualtieri. (2006). Black Hole Particle Emission in Higher-Dimensional Spacetimes. Physical Review Letters. 96(7). 71301–71301. 89 indexed citations
12.
Cavaglià, M., et al.. (2005). Relic gravitons on Kasner-like branes. Physics Letters B. 610(1-2). 9–17. 5 indexed citations
13.
Cavaglià, M., Gérard Clément, & Alessandro Fabbri. (2004). Approximately self-similar critical collapse in 2+1 dimensions. Physical review. D. Particles, fields, gravitation, and cosmology. 70(4). 7 indexed citations
14.
Cavaglià, M.. (2003). BLACK HOLE AND BRANE PRODUCTION IN TEV GRAVITY: A REVIEW. International Journal of Modern Physics A. 18(11). 1843–1882. 144 indexed citations
15.
Cadoni, Mariano & M. Cavaglià. (2001). Open strings, 2D gravity, and AdS/CFT correspondence. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 63(8). 20 indexed citations
16.
Cavaglià, M. & Carlo Ungarelli. (2000). Quantum gravity corrections to the Schwarzschild mass. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 61(6). 8 indexed citations
17.
Cavaglià, M.. (2000). A NOTE ON WEYL TRANSFORMATIONS IN TWO-DIMENSIONAL DILATON GRAVITY. Modern Physics Letters A. 15(34). 2113–2118. 5 indexed citations
18.
Cavaglià, M.. (1999). The Birkhoff Theorem for Topologically Massive Gravity. Gravitation and Cosmology. 5. 101–103. 6 indexed citations
19.
Cavaglià, M.. (1998). Solvable model of two-dimensional dilaton gravity coupled to a massless scalar field. Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields. 57(8). 5295–5298. 9 indexed citations
20.
Cavaglià, M.. (1996). Quantisation of gauge systems: Application to minisuperspace models in canonical quantum gravity.. PhDT. 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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