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, Fermi Gamma-ray Space Telescope, Galaxy and Telescope.
His studies in Dark matter, Milky Way, Gamma ray, Redshift and Cosmic ray are all subfields of Astrophysics research.
His study in the field of LIGO, Galaxy groups and clusters and Sky is also linked to topics like European research.
His Fermi Gamma-ray Space Telescope study integrates concerns from other disciplines, such as Spectral line, Supernova, Pulsar and Galactic halo.
His Galaxy research includes elements of Stars and Cosmology, Dark energy.
His Telescope study incorporates themes from Supernova remnant, Pixel, Gamma-ray burst and Aperture.
His most cited work include:
- Fermi Large Area Telescope Second Source Catalog (1327 citations)
- Searching for dark matter annihilation from Milky Way dwarf spheroidal galaxies with six years of Fermi Large Area Telescope data (811 citations)
- THE SECOND FERMI LARGE AREA TELESCOPE CATALOG OF GAMMA-RAY PULSARS (728 citations)
What are the main themes of his work throughout his whole career to date?
Astrophysics, Astronomy, Galaxy, Dark energy and Fermi Gamma-ray Space Telescope are his primary areas of study.
His is involved in several facets of Astrophysics study, as is seen by his studies on Dark matter, Milky Way, Dwarf galaxy, Redshift and Stars.
He focuses mostly in the field of Milky Way, narrowing it down to topics relating to Large Magellanic Cloud and, in certain cases, Proper motion.
His Astronomy study frequently links to other fields, such as Gamma-ray astronomy.
While the research belongs to areas of Dark energy, he spends his time largely on the problem of Supernova, intersecting his research to questions surrounding Gravitational wave, LIGO, Neutron star and Light curve.
His study looks at the relationship between Fermi Gamma-ray Space Telescope and topics such as Telescope, which overlap with Aperture.
He most often published in these fields:
- Astrophysics (92.76%)
- Astronomy (41.59%)
- Galaxy (43.46%)
What were the highlights of his more recent work (between 2020-2021)?
- Astrophysics (92.76%)
- Galaxy (43.46%)
- Dark energy (37.15%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Astrophysics, Galaxy, Dark energy, Dark matter and Milky Way.
His study looks at the intersection of Galaxy and topics like Artificial intelligence with Machine learning.
His Dark energy study combines topics in areas such as Cluster analysis, Surface brightness and Sigma.
Alex Drlica-Wagner has included themes like Gravitation and Halo in his Dark matter study.
His work carried out in the field of Milky Way brings together such families of science as Star formation, Star cluster and Dwarf galaxy.
Satellite galaxy is the subject of his research, which falls under Astronomy.
Between 2020 and 2021, his most popular works were:
- Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey (8 citations)
- Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis (6 citations)
- Constraints on Dark Matter Properties from Observations of Milky Way Satellite Galaxies (5 citations)
In his most recent research, the most cited papers focused on:
- Astronomy
- Statistics
- Galaxy
Alex Drlica-Wagner mainly focuses on Galaxy, Redshift, Astrophysics, Dark energy and Stellar mass.
His Galaxy and Dwarf galaxy, Stellar population, Metallicity, Star formation and Star cluster investigations all form part of his Galaxy research activities.
His study in Redshift is interdisciplinary in nature, drawing from both Machine learning and Random forest.
In most of his Astrophysics studies, his work intersects topics such as Sigma.
His Dark energy research includes themes of Luminosity, Observatory, Surface brightness, Coma Cluster and Data set.
His Stellar mass research is multidisciplinary, incorporating elements of Probability distribution, Galaxy formation and evolution, Copula and Artificial intelligence.
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