Michele Vallisneri

11.5k citations

49 papers · 2.7k indexed · 2 hit papers · h-index 28

Astronomy and Astrophysics top 1%
Oceanography top 2%
Geophysics top 5%
Nuclear and High Energy Physics top 5%
Atomic and Molecular Physics, and Optics top 10%

Co-authors: Yanbei Chen Alessandra Buonanno Curt Cutler Alvin J. K. Chua Rutger van Haasteren Yi Pan Joel E. Tohline Lee Lindblom
Topics: Pulsars and Gravitational Waves Research (38 papers)Gamma-ray bursts and supernovae (17 papers)Geophysics and Gravity Measurements (15 papers)
Cited by: Astronomy and Astrophysics Oceanography Geophysics
Journals: Physical Review Letters Monthly Notices of the Royal Astronomical Society Physical review. D
Partner nations: United States France Germany

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

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

#	Work	Indexed citations
1	Robust Bayesian inference with gapped LISA data using all-in-one TDI- ∞ 2025 ·Classical and Quantum Gravity ·(unknown),Jean-Baptiste Bayle,Michele Vallisneri	0
2	Accurate characterization of the stochastic gravitational-wave background with pulsar timing arrays by likelihood reweighting 2023 ·Physical review. D ·Sophie Hourihane,P. M. Meyers,Aaron D. Johnson,Katerina Chatziioannou,Michele Vallisneri	15
3	Posterior predictive checking for gravitational-wave detection with pulsar timing arrays. II. Posterior predictive distributions and pseudo-Bayes factors 2023 ·Physical review. D ·P. M. Meyers,Katerina Chatziioannou,Michele Vallisneri,Alvin J. K. Chua	3
4	Posterior predictive checking for gravitational-wave detection with pulsar timing arrays. I. The optimal statistic 2023 ·Physical review. D ·Michele Vallisneri,P. M. Meyers,Katerina Chatziioannou,Alvin J. K. Chua	7
5	Time-delay interferometry without delays 2021 ·Physical review. D ·Michele Vallisneri,Jean-Baptiste Bayle,S. Babak,Antoine Petiteau	29
6	ENTERPRISE: Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE 2020 ·Zenodo (CERN European Organization for Nuclear Research) ·Justin A. Ellis,Michele Vallisneri,Stephen R. Taylor,P. T. Baker	55
7	libstempo: Python wrapper for Tempo2 2020 ·Astrophysics Source Code Library ·Michele Vallisneri	8
8	What can we learn from multi-band observations of black hole binaries? 2019 ·arXiv (Cornell University) ·Curt Cutler,Emanuele Berti,Kelly Holley‐Bockelmann,K. Jani,Ely D. Kovetz,Shane L. Larson,T. B. Littenberg,Sean T. McWilliams,G. Mueller,Lisa Randall,Jeremy D. Schnittman,D. H. Shoemaker,Michele Vallisneri,S. Vitale,Kaze W. K. Wong	4
9	Reduced-Order Modeling with Artificial Neurons for Gravitational-Wave Inference 2019 ·Physical Review Letters ·Alvin J. K. Chua,Chad R. Galley,Michele Vallisneri	62
10	ROMAN: Reduced-Order Modeling with Artificial Neurons 2018 ·arXiv (Cornell University) ·Alvin J. K. Chua,Chad R. Galley,Michele Vallisneri	2
11	The emergence of gravitational wave science: 100 years of development of mathematical theory, detectors, numerical algorithms, and data analysis tools 2016 ·Bulletin of the American Mathematical Society ·Michael Holst,Olivier Sarbach,Manuel Tiglio,Michele Vallisneri	5
12	The LIGO Open Science Center 2015 ·Journal of Physics Conference Series ·Michele Vallisneri,J. B. Kanner,R. Williams,A. J. Weinstein,Branson C. Stephens	154
13	Low-rank approximations for large stationary covariance matrices, as used in the Bayesian and generalized-least-squares analysis of pulsar-timing data 2014 ·Monthly Notices of the Royal Astronomical Society ·Rutger van Haasteren,Michele Vallisneri	23
14	Testing general relativity with gravitational waves: A reality check 2012 ·Physical review. D. Particles, fields, gravitation, and cosmology ·Michele Vallisneri	28
15	Beyond the Fisher-Matrix Formalism: Exact Sampling Distributions of the Maximum-Likelihood Estimator in Gravitational-Wave Parameter Estimation 2011 ·Physical Review Letters ·Michele Vallisneri	43
16	An Overview of the Mock LISA Data Challenges 2006 ·AIP conference proceedings ·(unknown),Keith A. Arnaud,Stanislav Babak,John G. Baker,Matthew Benacquista,Neil J. Cornish,Curt Cutler,Shane L. Larson,B. S. Sathyaprakash,Michele Vallisneri,A. Vecchio,(unknown)	30
17	Detecting gravitational waves from precessing binaries of spinning compact objects. II. Search implementation for low-mass binaries 2005 ·Physical review. D. Particles, fields, gravitation, and cosmology ·Alessandra Buonanno,Yanbei Chen,Yi Pan,Hideyuki Tagoshi,Michele Vallisneri	29
18	Physical template family for gravitational waves from precessing binaries of spinning compact objects: Application to single-spin binaries 2004 ·Physical review. D. Particles, fields, gravitation, and cosmology ·Yi Pan,Alessandra Buonanno,Yanbei Chen,Michele Vallisneri	72
19	Nonlinear Evolution of ther-Modes in Neutron Stars 2001 ·Physical Review Letters ·Lee Lindblom,Joel E. Tohline,Michele Vallisneri	70
20	MÄRZKE-WHEELER COORDINATES FOR ACCELERATED OBSERVERS IN SPECIAL RELATIVITY 2000 ·Foundations of Physics Letters ·Massimo Pauri,Michele Vallisneri	14

About Michele Vallisneri

Michele Vallisneri is a scholar working on Astronomy and Astrophysics, Oceanography and Geophysics, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pulsars and Gravitational Waves Research (38 papers), Gamma-ray bursts and supernovae (17 papers) and Geophysics and Gravity Measurements (15 papers). The work is most often cited by research in Astronomy and Astrophysics (2.4k citations), Oceanography (584 citations) and Geophysics (446 citations). Michele Vallisneri has collaborated with scholars based in United States, France and Germany. Frequent 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. Their work appears in journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and Physical review. D.

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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