What is he best known for?
The fields of study he is best known for:
- Astronomy
- Galaxy
- Astrophysics
His primary scientific interests are in Astrophysics, Astronomy, Galaxy, Sky and Redshift.
His Astrophysics research focuses on Supernova, Photometry, Stars, Halo and Dark matter.
Naoki Yasuda usually deals with Galaxy and limits it to topics linked to Universe and Stellar population.
His research investigates the link between Sky and topics such as Magnitude that cross with problems in Spiral galaxy and Dwarf galaxy.
His research in Redshift intersects with topics in Fast radio burst, Interstellar medium and Radio galaxy.
His Quasar research is multidisciplinary, relying on both Planetary system, Planet, Giant planet, Celestial sphere and Bulge.
His most cited work include:
- Sloan digital sky survey: Early data release (2156 citations)
- SDSS-III: MASSIVE SPECTROSCOPIC SURVEYS OF THE DISTANT UNIVERSE, THE MILKY WAY, AND EXTRA-SOLAR PLANETARY SYSTEMS (1779 citations)
- SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and Extra-Solar Planetary Systems (1777 citations)
What are the main themes of his work throughout his whole career to date?
Naoki Yasuda mainly investigates Astrophysics, Galaxy, Astronomy, Redshift and Supernova.
Light curve, Sky, Stars, Photometry and Luminosity are the primary areas of interest in his Astrophysics study.
Galaxy is represented through his Star formation, Hubble Deep Field, Quasar, Extinction and Active galactic nucleus research.
His work in the fields of Photometric redshift overlaps with other areas such as Population.
His work on Ejecta as part of general Supernova study is frequently linked to Type, therefore connecting diverse disciplines of science.
His Subaru Telescope research is multidisciplinary, incorporating perspectives in Field of view, Software and Remote sensing.
He most often published in these fields:
- Astrophysics (65.73%)
- Galaxy (42.46%)
- Astronomy (37.85%)
What were the highlights of his more recent work (between 2016-2021)?
- Astrophysics (65.73%)
- Supernova (25.83%)
- Galaxy (42.46%)
In recent papers he was focusing on the following fields of study:
Naoki Yasuda spends much of his time researching Astrophysics, Supernova, Galaxy, Light curve and Redshift.
His Astrophysics study frequently links to adjacent areas such as Astronomy.
The Supernova study combines topics in areas such as Artificial neural network, Artificial intelligence, COSMIC cancer database and Sky.
His research investigates the connection between Galaxy and topics such as Magnitude that intersect with issues in Photometric redshift and Fast radio burst.
His studies examine the connections between Light curve and genetics, as well as such issues in Brightness, with regards to Absolute magnitude and Star.
His study in Redshift is interdisciplinary in nature, drawing from both Spectral line, Emission spectrum and Active galactic nucleus.
Between 2016 and 2021, his most popular works were:
- The Hyper Suprime-Cam SSP Survey: Overview and survey design (285 citations)
- The Hyper Suprime-Cam software pipeline (277 citations)
- Microlensing constraints on primordial black holes with the Subaru/HSC Andromeda observation (209 citations)
In his most recent research, the most cited papers focused on:
- Astronomy
- Galaxy
- Milky Way
Naoki Yasuda mostly deals with Astrophysics, Astronomy, Supernova, Light curve and Subaru Telescope.
Active galactic nucleus, Stars, Gravitational wave and Ejecta are the core of his Astrophysics study.
His work on Galaxy and Observatory as part of general Astronomy study is frequently linked to Max planck institute and Basic research, bridging the gap between disciplines.
His Supernova study frequently draws connections to adjacent fields such as Redshift.
The concepts of his Redshift study are interwoven with issues in Variable star, COSMIC cancer database, Star formation, Methods observational and Photometry.
His Subaru Telescope research incorporates themes from Pipeline, Computer graphics and Sky.
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.
