Richard O'Shaughnessy

Richard O'Shaughnessy

Rochester Institute of Technology

H-index: 131

North America-United States

About Richard O'Shaughnessy

Richard O'Shaughnessy, With an exceptional h-index of 131 and a recent h-index of 95 (since 2020), a distinguished researcher at Rochester Institute of Technology,

His recent articles reflect a diverse array of research interests and contributions to the field:

Analyzing Binary Black Hole Populations Using Gravitational Wave and N-Body Formation Channel Simulations

Waveform systematics in gravitational-wave inference of signals from binary neutron star merger models incorporating higher order modes information

Kilonova Light-Curve Inference Using a Neural Network

The Effect of the Velocity Distribution on Kilonova Emission

Exploring electromagnetic and gravitational wave constraints on the dense matter equation of state.

GWTC-2.1: Deep extended catalog of compact binary coalescences observed by LIGO and Virgo during the first half of the third observing run

Parameter Estimation for Low-Mass Eccentric Black Hole Binaries

Kilonova Light-Curve Interpolation with Neural Networks

Richard O'Shaughnessy Information

University

Position

___

Citations(all)

108203

Citations(since 2020)

74124

Cited By

63981

hIndex(all)

131

hIndex(since 2020)

95

i10Index(all)

319

i10Index(since 2020)

281

Email

University Profile Page

Rochester Institute of Technology

Google Scholar

View Google Scholar Profile

Top articles of Richard O'Shaughnessy

Title

Journal

Author(s)

Publication Date

Analyzing Binary Black Hole Populations Using Gravitational Wave and N-Body Formation Channel Simulations

American Astronomical Society Meeting Abstracts

Gayathri Vivekananthaswamy

Daniel Wysocki

Imre Bartos

Richard O'Shaughnessy

2024/2

Waveform systematics in gravitational-wave inference of signals from binary neutron star merger models incorporating higher order modes information

Bulletin of the American Physical Society

Anjali Balasaheb Yelikar

Richard O'Shaughnessy

Jacob Lange

Aasim Jan

2024/4/5

Kilonova Light-Curve Inference Using a Neural Network

Bulletin of the American Physical Society

Marko Ristic

Yinglei Peng

Atul Kedia

Richard O'Shaughnessy

Christopher Fontes

...

2024/4/5

The Effect of the Velocity Distribution on Kilonova Emission

The Astrophysical Journal

Chris L Fryer

Aimee L Hungerford

Ryan T Wollaeger

Jonah M Miller

Soumi De

...

2024/1/10

Exploring electromagnetic and gravitational wave constraints on the dense matter equation of state.

Bulletin of the American Physical Society

Atul Kedia

Richard O'Shaughnessy

Leslie Wade

Anjali Yelikar

2024/4/3

GWTC-2.1: Deep extended catalog of compact binary coalescences observed by LIGO and Virgo during the first half of the third observing run

Physical Review D

R Abbott

TD Abbott

F Acernese

K Ackley

C Adams

...

2024/1/5

Parameter Estimation for Low-Mass Eccentric Black Hole Binaries

arXiv preprint arXiv:2402.08039

Katelyn J Wagner

Richard O'Shaughnessy

2024/2/12

Kilonova Light-Curve Interpolation with Neural Networks

arXiv preprint arXiv:2402.05871

Yinglei Peng

Marko Ristić

Atul Kedia

Richard O'Shaughnessy

Christopher J Fontes

...

2024/2/8

Eccentricity matters: Impact of eccentricity on inferred binary black hole populations

arXiv preprint arXiv:2404.08185

Muhammad Zeeshan

Richard O'Shaughnessy

2024/4/12

Re-analyzing GWTC-3 events with a numerical relativity surrogate waveform model for precessing spin binary black holes

APS April Meeting Abstracts

Tousif Islam

Feroz Shaik

Carl-Johan Haster

Vijay Varma

Scott Field

...

2022/4

Waveform modelling for the laser interferometer space antenna

arXiv preprint arXiv:2311.01300

Niaesh Afshordi

Sarp Akçay

Pau Amaro Seoane

Andrea Antonelli

Josu C Aurrekoetxea

...

2023/11/2

Iteratively comparing gravitational-wave observations to the evolution of massive stellar binaries

Physical Review D

Vera Delfavero

Richard O’Shaughnessy

Krzysztof Belczynski

Paweł Drozda

Daniel Wysocki

2023/8/22

Gravitational wave source populations: Disentangling an AGN component

The Astrophysical Journal Letters

V Gayathri

Daniel Wysocki

Y Yang

Vera Delfavero

R O’Shaughnessy

...

2023/3/13

Testing new methods within RIFT for parameter inference of gravitational waves from NS binaries

APS April Meeting Abstracts

Anjali Balasaheb Yelikar

Vera Delfavero

Richard O'Shaughnessy

Jacob Lange

2023

Interpolated kilonova spectra models: Examining the effects of a phenomenological, blue component in the fitting of AT2017gfo spectra

Physical Review Research

Marko Ristić

Richard O'Shaughnessy

V Ashley Villar

Ryan T Wollaeger

Oleg Korobkin

...

2023/11/2

Surrogate light curve models for kilonovae with comprehensive wind ejecta outflows and parameter estimation for AT2017gfo

Physical Review Research

Atul Kedia

Marko Ristic

Richard O'Shaughnessy

Anjali B Yelikar

Ryan T Wollaeger

...

2023/3/13

Constraints on the cosmic expansion history from GWTC-3

Astrophysical Journal

R Abbott

H Abe

F Acernese

K Ackley

N Adhikari

...

2023/6/1

Simulated Kilonova Spectra Interpolation with Comparison to AT2017gfo Observations

APS April Meeting Abstracts

Marko Ristic

Richard O'Shaughnessy

V Ashley Villar

Ryan Wollaeger

Oleg Korobkin

...

2023

Open data from the third observing run of LIGO, Virgo, KAGRA and GEO

arXiv preprint arXiv:2302.03676

R Abbott

H Abe

F Acernese

K Ackley

S Adhicary

...

2023/2/7

Constraining inputs to realistic kilonova simulations through comparison to observed r-process abundances

The Astrophysical Journal

Marko Ristić

Erika M Holmbeck

Ryan T Wollaeger

Oleg Korobkin

Elizabeth Champion

...

2023/10/9

See List of Professors in Richard O'Shaughnessy University(Rochester Institute of Technology)

Co-Authors

H-index: 138
Vassiliki Kalogera

Vassiliki Kalogera

Northwestern University

H-index: 101
Deirdre Shoemaker

Deirdre Shoemaker

Georgia Institute of Technology

H-index: 92
Emanuele Berti

Emanuele Berti

Johns Hopkins University

H-index: 40
Davide Gerosa

Davide Gerosa

University of Birmingham

academic-engine