What is he best known for?
The fields of study he is best known for:
- Astronomy
- Astrophysics
- Galaxy
Paul T. P. Ho mainly investigates Astrophysics, Astronomy, Submillimeter Array, Star formation and Galaxy.
Stars, Protostar, Line, Continuum and Accretion are among the areas of Astrophysics where the researcher is concentrating his efforts.
His research in Protostar intersects with topics in Velocity gradient, Millimeter, Radial velocity and Molecular cloud.
His work in the fields of Astronomy, such as Luminous infrared galaxy, Radius, Supermassive black hole and Young stellar object, overlaps with other areas such as Collimated light.
Paul T. P. Ho interconnects Radiative transfer, Spectral line, Emission spectrum, Jet and Star cluster in the investigation of issues within Submillimeter Array.
His work deals with themes such as Polarization and Thick disk, which intersect with Star formation.
His most cited work include:
- First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole (1011 citations)
- The Submillimeter Array (678 citations)
- The Submillimeter Array (678 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Astrophysics, Astronomy, Submillimeter Array, Star formation and Galaxy.
His research in Stars, Protostar, Line, Molecular cloud and Continuum are components of Astrophysics.
His Astronomy study frequently links to other fields, such as Wavelength.
His study in Submillimeter Array is interdisciplinary in nature, drawing from both Velocity gradient, Brown dwarf, Polarization, Radius and Millimeter.
His Star formation research is multidisciplinary, incorporating elements of Accretion, Stellar evolution and Star cluster.
His study in Active galactic nucleus, Luminosity, Luminous infrared galaxy and Spiral galaxy is done as part of Galaxy.
He most often published in these fields:
- Astrophysics (122.82%)
- Astronomy (63.73%)
- Submillimeter Array (51.69%)
What were the highlights of his more recent work (between 2013-2021)?
- Astrophysics (122.82%)
- Astronomy (63.73%)
- Submillimeter Array (51.69%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Astrophysics, Astronomy, Submillimeter Array, Telescope and Protostar.
His work on Astrophysics is being expanded to include thematically relevant topics such as Polarization.
As a member of one scientific family, Paul T. P. Ho mostly works in the field of Submillimeter Array, focusing on Wavelength and, on occasion, Dust lane.
His Telescope study also includes
- Interferometry most often made with reference to Remote sensing,
- Observatory that connect with fields like Telecommunications.
His research integrates issues of Circumbinary planet, Atmosphere, Radius and Spiral galaxy in his study of Protostar.
His study looks at the relationship between Radius and topics such as Envelope, which overlap with Stellar mass.
Between 2013 and 2021, his most popular works were:
- First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole (1011 citations)
- First M87 Event Horizon Telescope Results. VI. The Shadow and Mass of the Central Black Hole (402 citations)
- First M87 Event Horizon Telescope Results. V. Physical Origin of the Asymmetric Ring (375 citations)
In his most recent research, the most cited papers focused on:
- Astronomy
- Astrophysics
- Galaxy
Astrophysics, Submillimeter Array, Astronomy, Protostar and Accretion are his primary areas of study.
His Astrophysics study frequently draws parallels with other fields, such as Jet.
His Submillimeter Array study introduces a deeper knowledge of Star formation.
His research in the fields of Molecular cloud, Magnitude and Sky overlaps with other disciplines such as Summit and Survey research.
His studies in Protostar integrate themes in fields like Atmosphere, Envelope, Line, Radius and Binary star.
Paul T. P. Ho combines subjects such as Wavelength and Accretion disc with his study of Accretion.
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.
