Michele Vallisneri

11.5k total citations · 2 hit papers
49 papers, 2.7k citations indexed

About

Michele Vallisneri is a scholar working on Astronomy and Astrophysics, Oceanography and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michele Vallisneri has authored 49 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Astronomy and Astrophysics, 15 papers in Oceanography and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michele Vallisneri's work include Pulsars and Gravitational Waves Research (38 papers), Gamma-ray bursts and supernovae (17 papers) and Geophysics and Gravity Measurements (15 papers). Michele Vallisneri is often cited by papers focused on Pulsars and Gravitational Waves Research (38 papers), Gamma-ray bursts and supernovae (17 papers) and Geophysics and Gravity Measurements (15 papers). Michele Vallisneri collaborates with scholars based in United States, France and Germany. Michele Vallisneri's co-authors include Yanbei Chen, Alessandra Buonanno, Curt Cutler, Alvin J. K. Chua, Rutger van Haasteren, Yi Pan, Joel E. Tohline, Lee Lindblom, Branson C. Stephens and R. Williams and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Physical review. D.

In The Last Decade

Michele Vallisneri

48 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Use and abuse of the Fisher information matrix in the assessment of gravitational-wave parameter-estimation prospects

2008 462 citations Michele Vallisneri Physical review. D. Particles, fields, gravitation, and cosmology profile →
GipsyX/RTGx, a new tool set for space geodetic operations and research

2020 246 citations Michele Vallisneri et al. profile →

Peers

Michele Vallisneri

OCEAN

GEOPH

NHEP

AMPO

W. van Straten Australia

Sanjeev Dhurandhar India

M. J. Keith United Kingdom

N. D. R. Bhat Australia

M. W. Coughlin United States

F. Crawford United States

M. Burgay Italy

Béla Szilágyi United States

A. Vecchio United Kingdom

Massimo Tinto United States

W. van Straten Australia

Michele Vallisneri

3.7k ×1.5

601 ×1.0

OCEAN

387 ×0.9

GEOPH

1.1k ×2.7

NHEP

395 ×1.3

AMPO

Citations per year, relative to Michele Vallisneri Michele Vallisneri (= 1×) peers W. van Straten

Countries citing papers authored by Michele Vallisneri

Since Specialization

Citations

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

Fields of papers citing papers by Michele Vallisneri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Vallisneri

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

All Works

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20 of 20 papers shown

Bayle, Jean-Baptiste, et al.. (2025). Robust Bayesian inference with gapped LISA data using all-in-one TDI- ∞ . Classical and Quantum Gravity. 42(14). 145007–145007.

Hourihane, Sophie, P. M. Meyers, Aaron D. Johnson, Katerina Chatziioannou, & Michele Vallisneri. (2023). Accurate characterization of the stochastic gravitational-wave background with pulsar timing arrays by likelihood reweighting. Physical review. D. 107(8). 15 indexed citations

Meyers, P. M., Katerina Chatziioannou, Michele Vallisneri, & Alvin J. K. Chua. (2023). Posterior predictive checking for gravitational-wave detection with pulsar timing arrays. II. Posterior predictive distributions and pseudo-Bayes factors. Physical review. D. 108(12). 3 indexed citations

Vallisneri, Michele, P. M. Meyers, Katerina Chatziioannou, & Alvin J. K. Chua. (2023). Posterior predictive checking for gravitational-wave detection with pulsar timing arrays. I. The optimal statistic. Physical review. D. 108(12). 7 indexed citations

Vallisneri, Michele, Jean-Baptiste Bayle, S. Babak, & Antoine Petiteau. (2021). Time-delay interferometry without delays. Physical review. D. 103(8). 29 indexed citations

Ellis, Justin A., Michele Vallisneri, Stephen R. Taylor, & P. T. Baker. (2020). ENTERPRISE: Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE. Zenodo (CERN European Organization for Nuclear Research). 55 indexed citations

Vallisneri, Michele. (2020). libstempo: Python wrapper for Tempo2. Astrophysics Source Code Library. 8 indexed citations

Cutler, Curt, Emanuele Berti, Kelly Holley‐Bockelmann, et al.. (2019). What can we learn from multi-band observations of black hole binaries?. arXiv (Cornell University). 51(3). 109. 4 indexed citations

Chua, Alvin J. K., Chad R. Galley, & Michele Vallisneri. (2019). Reduced-Order Modeling with Artificial Neurons for Gravitational-Wave Inference. Physical Review Letters. 122(21). 211101–211101. 62 indexed citations

10.

Chua, Alvin J. K., Chad R. Galley, & Michele Vallisneri. (2018). ROMAN: Reduced-Order Modeling with Artificial Neurons. arXiv (Cornell University). 2 indexed citations

11.

Holst, Michael, Olivier Sarbach, Manuel Tiglio, & Michele Vallisneri. (2016). The emergence of gravitational wave science: 100 years of development of mathematical theory, detectors, numerical algorithms, and data analysis tools. Bulletin of the American Mathematical Society. 53(4). 513–554. 5 indexed citations

12.

Vallisneri, Michele, J. B. Kanner, R. Williams, A. J. Weinstein, & Branson C. Stephens. (2015). The LIGO Open Science Center. Journal of Physics Conference Series. 610. 12021–12021. 154 indexed citations

13.

Haasteren, Rutger van & Michele Vallisneri. (2014). Low-rank approximations for large stationary covariance matrices, as used in the Bayesian and generalized-least-squares analysis of pulsar-timing data. Monthly Notices of the Royal Astronomical Society. 446(2). 1170–1174. 23 indexed citations

14.

Vallisneri, Michele. (2012). Testing general relativity with gravitational waves: A reality check. Physical review. D. Particles, fields, gravitation, and cosmology. 86(8). 28 indexed citations

15.

Vallisneri, Michele. (2011). Beyond the Fisher-Matrix Formalism: Exact Sampling Distributions of the Maximum-Likelihood Estimator in Gravitational-Wave Parameter Estimation. Physical Review Letters. 107(19). 191104–191104. 43 indexed citations

16.

Arnaud, Keith A., Stanislav Babak, John G. Baker, et al.. (2006). An Overview of the Mock LISA Data Challenges. AIP conference proceedings. 873. 619–624. 30 indexed citations

17.

Buonanno, Alessandra, Yanbei Chen, Yi Pan, Hideyuki Tagoshi, & Michele Vallisneri. (2005). Detecting gravitational waves from precessing binaries of spinning compact objects. II. Search implementation for low-mass binaries. Physical review. D. Particles, fields, gravitation, and cosmology. 72(8). 29 indexed citations

18.

Pan, Yi, Alessandra Buonanno, Yanbei Chen, & Michele Vallisneri. (2004). Physical template family for gravitational waves from precessing binaries of spinning compact objects: Application to single-spin binaries. Physical review. D. Particles, fields, gravitation, and cosmology. 69(10). 72 indexed citations

19.

Lindblom, Lee, Joel E. Tohline, & Michele Vallisneri. (2001). Nonlinear Evolution of ther-Modes in Neutron Stars. Physical Review Letters. 86(7). 1152–1155. 70 indexed citations

20.

Pauri, Massimo & Michele Vallisneri. (2000). MÄRZKE-WHEELER COORDINATES FOR ACCELERATED OBSERVERS IN SPECIAL RELATIVITY. Foundations of Physics Letters. 13(5). 401–425. 14 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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