What is he best known for?
The fields of study he is best known for:
- Astronomy
- Galaxy
- Milky Way
Paul Martini spends much of his time researching Astrophysics, Galaxy, Astronomy, Active galactic nucleus and Quasar.
As part of one scientific family, Paul Martini deals mainly with the area of Astrophysics, narrowing it down to issues related to the Emission spectrum, and often Extragalactic astronomy.
As part of his studies on Galaxy, Paul Martini often connects relevant subjects like Dark energy.
His Dark energy research is multidisciplinary, relying on both Weak gravitational lensing, Point spread function, Photometric redshift and Data set.
His Active galactic nucleus research incorporates elements of Position angle, Radius and Galactic plane.
In his work, Large quasar group, OVV quasar and Wavelength is strongly intertwined with Eddington luminosity, which is a subfield of Quasar.
His most cited work include:
- Spectroscopic Discovery of the Supernova 2003dh Associated with GRB 030329 (1051 citations)
- Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing (670 citations)
- Black Holes in Galaxy Mergers: Evolution of Quasars (567 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Astrophysics, Galaxy, Astronomy, Redshift and Dark energy.
His Quasar, Active galactic nucleus, Luminosity, Galaxy formation and evolution and Supermassive black hole investigations are all subjects of Astrophysics research.
His studies in Quasar integrate themes in fields like Spectral line, Balmer series, Emission spectrum and Eddington luminosity.
His biological study spans a wide range of topics, including Black hole and Photometry.
As part of the same scientific family, Paul Martini usually focuses on Dark energy, concentrating on Supernova and intersecting with Light curve.
Paul Martini combines subjects such as Observatory and Spectrograph with his study of Telescope.
He most often published in these fields:
- Astrophysics (93.85%)
- Galaxy (64.40%)
- Astronomy (43.74%)
What were the highlights of his more recent work (between 2018-2021)?
- Astrophysics (93.85%)
- Dark energy (24.40%)
- Galaxy (64.40%)
In recent papers he was focusing on the following fields of study:
Paul Martini mainly investigates Astrophysics, Dark energy, Galaxy, Redshift and Quasar.
In his research on the topic of Astrophysics, Full width at half maximum is strongly related with Spectral line.
His Dark energy study combines topics from a wide range of disciplines, such as Weak gravitational lensing, Telescope, Baryon and Dark matter.
Galaxy is a subfield of Astronomy that he investigates.
The Redshift study combines topics in areas such as Galaxy formation and evolution, Universe and Convolutional neural network.
He interconnects Line, Luminosity, Supermassive black hole and Emission spectrum in the investigation of issues within Quasar.
Between 2018 and 2021, his most popular works were:
- Overview of the DESI legacy imaging surveys (262 citations)
- The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra (221 citations)
- The Sixteenth Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra (192 citations)
In his most recent research, the most cited papers focused on:
- Astronomy
- Galaxy
- Milky Way
Paul Martini focuses on Astrophysics, Dark energy, Redshift, Galaxy and Cosmology.
He carries out multidisciplinary research, doing studies in Astrophysics and Omega.
His work carried out in the field of Dark energy brings together such families of science as Weak gravitational lensing, Supernova and Universe.
The concepts of his Redshift study are interwoven with issues in Lens, Methods statistical and Convolutional neural network.
His Galaxy study typically links adjacent topics like Sky.
His research integrates issues of Galaxy formation and evolution, Supermassive black hole, Black hole and Emission spectrum in his study of Quasar.
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.
