Get started
Author

Jonathan Gair

Observed names: Gair, J., Gair, Jonathan, Gair, Jonathan R.
ORCID: 0000-0002-1671-3668
Observed ORCID: 0000-0002-1671-3668
OpenAlex ID: A5105718702
The Gravitational Universe
2013 · Consortium, The eLISA, :, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 140
PDF
Constraining accretion physics with gravitational waves from eccentric extreme-mass-ratio inspirals
2025 · Francisco Duque, Shubham Kejriwal, et al. · Physical review. D/Physical review. D. · 38
PDF
Is the stochastic signal really detectable?
2025 · Federico Pozzoli, Jonathan Gair, et al. · Physical review. D/Physical review. D. · 5
PDF
Data Driven Approach for Extracting Tidal Information from Neutron Star Binary Mergers Observed with the Einstein Telescope
2025 · Adrian Abac, Anna Puecher, et al. · Physical Review Letters · 2
PDF
Reversible-jump MCMC reveals binary black hole subpopulations with distinct redshift evolution
2026 · April Cheng, Alexandre Toubiana, et al. · Research Square · 1
PDF
Systematics in tests of general relativity using LISA massive black hole binaries
2024 · Garg, Mudit, Sberna, Laura, et al. · arXiv (Cornell University) · 1
PDF
Probing Accretion Physics with Gravitational Waves
2022 · Speri, Lorenzo, Antonelli, Andrea, et al. · arXiv (Cornell University) · 1
PDF
Enhancing dark siren cosmology via Gaussian process reconstruction of incomplete galaxy catalogs
2026 · Matteo Tagliazucchi, Jonathan Gair, et al. · Physical review. D/Physical review. D.
Eccentricity Constraints Disfavor Single–Single Capture in Nuclear Star Clusters as the Origin of all LIGO–Virgo–KAGRA Binary Black Holes
2026 · Nihar Gupte, M. Coleman Miller, et al. · The Astrophysical Journal
PDF
Reversible jump MCMC for model selection in the analysis of gravitational-wave signals from the coalescence of compact objects
2026 · Anna Puecher, Tim Dietrich, et al. · Physical review. D/Physical review. D.
Not all those missing are lost: leveraging galaxy clustering in incomplete catalogs to unleash dark sirens cosmology
2026 · Barbieri, Riccardo, Kalomenopoulos, Marios, et al. · arXiv (Cornell University)
PDF
Dingo-Pop model for gravitational-wave hierarchical inference
2026 · Leyde, Konstantin, Green, Stephen, et al. · arXiv (Cornell University)
PDF
Gotta light? Illuminating AGN disks with LISA EMRIs
2026 · Fantoccoli, Federico, Duque, Francisco, et al. · arXiv (Cornell University)
PDF
Accurate and efficient simulation-based inference for massive black-hole binaries with LISA
2026 · Alice Spadaro, Jonathan Gair, et al. · Physical review. D/Physical review. D.
Reversible-jump MCMC reveals binary black hole subpopulations with distinct redshift evolution
2026 · Cheng, April Qiu, Toubiana, Alexandre, et al. · arXiv (Cornell University)
Reversible-jump MCMC reveals binary black hole subpopulations with distinct redshift evolution
2026 · Cheng, April Qiu, Toubiana, Alexandre, et al. · arXiv (Cornell University)
PDF
End-to-End Population Inference from Gravitational-Wave Strain using Transformers
2026 · Leyde, Konstantin, Green, Stephen R., et al. · MPG.PuRe (Max Planck Society)
Pre-localization of Massive Black Hole Binaries in the Millihertz Band
2026 · Zhang, Xue-Ting, Gair, Jonathan, et al. · arXiv (Cornell University)
PDF
Non parametric constraints of gravitational-electromagnetic luminosity distance ratio
2026 · Vallejo-Peña, Sergio Andrés, Romano, Antonio Enea, et al. · arXiv (Cornell University)
PDF
Reducing cosmological degeneracies by combining multiple classes of LISA gravitational-wave standard sirens
2026 · Laghi, Danny, Tamanini, Nicola, et al. · HAL (Le Centre pour la Communication Scientifique Directe)
PDF
A unified harmonic framework for dark siren cosmology
2026 · Cheng, April Qiu, Gair, Jonathan · arXiv (Cornell University)
PDF
A pipeline for searching and fitting instrumental glitches in LISA data
2026 · Martina Muratore, Jonathan Gair, et al. · Journal of Physics Conference Series
LISA and the LISA Science Team
2026 · Heffernan, Anna, Caprini, Chiara, et al. · arXiv (Cornell University)
PDF
A framework for LISA population inference
2026 · Toubiana, Alexandre, Gair, Jonathan · MPG.PuRe (Max Planck Society)
PDF
A framework for LISA population inference
2026 · Toubiana, Alexandre, Gair, Jonathan · arXiv (Cornell University)
PDF
Works count: 29
Citation count: 188
H-index: 3
I10-index: 2
Year
Topic
Type