What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Optics
- Photon
His primary scientific interests are in Astrophysics, Gravitational wave, LIGO, Astronomy and Binary black hole.
His work focuses on many connections between Astrophysics and other disciplines, such as General relativity, that overlap with his field of interest in Solar mass and Theory of relativity.
His work deals with themes such as Observatory and Interferometry, which intersect with Gravitational wave.
His LIGO study combines topics in areas such as Gamma-ray burst, Mass distribution and Pulsar.
His Binary black hole research is multidisciplinary, incorporating perspectives in X-ray binary, Gravitational wave background and Binary star.
Roman Schnabel interconnects Dimensionless quantity, Mass ratio, Order of magnitude, Galaxy and Kilonova in the investigation of issues within Neutron star.
His most cited work include:
- Observation of Gravitational Waves from a Binary Black Hole Merger (7103 citations)
- GW170817: observation of gravitational waves from a binary neutron star inspiral (4913 citations)
- GW151226: observation of gravitational waves from a 22-solar-mass binary black hole coalescence (2671 citations)
What are the main themes of his work throughout his whole career to date?
Roman Schnabel focuses on Gravitational wave, LIGO, Astrophysics, Optics and Astronomy.
His biological study spans a wide range of topics, including Pulsar, Detector and Neutron star.
His study of GW151226 is a part of LIGO.
His work in the fields of Binary black hole, Gamma-ray burst and Black hole overlaps with other areas such as Population.
His studies in Binary black hole integrate themes in fields like General relativity and Redshift.
His Optics research is multidisciplinary, relying on both Quantum noise and Squeezed coherent state.
He most often published in these fields:
- Gravitational wave (63.33%)
- LIGO (53.47%)
- Astrophysics (48.54%)
What were the highlights of his more recent work (between 2017-2021)?
- LIGO (53.47%)
- Gravitational wave (63.33%)
- Astrophysics (48.54%)
In recent papers he was focusing on the following fields of study:
Roman Schnabel mostly deals with LIGO, Gravitational wave, Astrophysics, Neutron star and Detector.
His LIGO study is concerned with the field of Astronomy as a whole.
His work carried out in the field of Gravitational wave brings together such families of science as General relativity, Pulsar, Sky and Interferometry.
His study in the field of Binary black hole, Redshift and Stars also crosses realms of Population.
His Neutron star research incorporates elements of Coalescence, Cosmology, Mass ratio and LIGO Scientific Collaboration.
His work deals with themes such as Noise, Noise and Sensitivity, which intersect with Detector.
Between 2017 and 2021, his most popular works were:
- GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs (1290 citations)
- GW170817: Measurements of Neutron Star Radii and Equation of State (831 citations)
- Prospects for Observing and Localizing Gravitational-Wave Transients with Advanced LIGO, Advanced Virgo and KAGRA (582 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Optics
- Photon
His main research concerns LIGO, Astrophysics, Gravitational wave, Neutron star and Binary black hole.
His work carried out in the field of LIGO brings together such families of science as Amplitude, Cosmic string and Sky.
His work on Black hole, Galaxy, Stars and Mass distribution as part of general Astrophysics research is frequently linked to Population, thereby connecting diverse disciplines of science.
His study on Gravitational wave is covered under Astronomy.
His studies in Neutron star integrate themes in fields like Coalescence, Gamma-ray burst, Tests of general relativity and LIGO Scientific Collaboration.
In his study, which falls under the umbrella issue of Binary black hole, Supernova is strongly linked to Redshift.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
