What is he best known for?
The fields of study he is best known for:
- Galaxy
- Astronomy
- Astrophysics
The scientist’s investigation covers issues in Astrophysics, Galaxy, Redshift, Astronomy and Galaxy formation and evolution.
His Astrophysics research focuses on Sample and how it connects with Data release.
His work carried out in the field of Galaxy brings together such families of science as Cosmology and Dark matter.
His Dark matter research incorporates themes from Dark energy, Physical cosmology, Weak gravitational lensing and Cosmic Vision.
His research integrates issues of Magnitude, Spectral line, Sigma and Stars in his study of Redshift.
His studies in Galaxy cluster integrate themes in fields like Sky, ROSAT and Dwarf galaxy.
His most cited work include:
- The Cosmic Evolution Survey (COSMOS): Overview* (1495 citations)
- Accurate photometric redshifts for the CFHT legacy survey calibrated using the VIMOS VLT deep survey (1225 citations)
- Accurate photometric redshifts for the CFHT Legacy Survey calibrated using the VIMOS VLT Deep Survey (1209 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Astrophysics, Galaxy, Redshift, Astronomy and Redshift survey.
His study in Luminosity, Galaxy cluster, Galaxy formation and evolution, Luminosity function and Dark matter is carried out as part of his Astrophysics studies.
His research in Galaxy cluster intersects with topics in ROSAT and Velocity dispersion.
He interconnects Cosmology, Cluster analysis and Sky in the investigation of issues within Galaxy.
His Redshift study combines topics from a wide range of disciplines, such as Magnitude, Dark energy, Universe and Photometry.
The study incorporates disciplines such as COSMIC cancer database, Cosmic variance, Sigma and Very Large Telescope in addition to Redshift survey.
He most often published in these fields:
- Astrophysics (101.54%)
- Galaxy (85.08%)
- Redshift (70.67%)
What were the highlights of his more recent work (between 2014-2021)?
- Astrophysics (101.54%)
- Galaxy (85.08%)
- Redshift (70.67%)
In recent papers he was focusing on the following fields of study:
Astrophysics, Galaxy, Redshift, Redshift survey and Astronomy are his primary areas of study.
His study on Astrophysics is mostly dedicated to connecting different topics, such as Sigma.
His work deals with themes such as Cosmology, COSMIC cancer database and Telescope, which intersect with Galaxy.
His biological study spans a wide range of topics, including Dark energy, Neutrino, Spectral density and Dark matter.
The Redshift survey study combines topics in areas such as Sky, Stars, Very Large Telescope, Luminosity and Universe.
As part of the same scientific family, Luigi Guzzo usually focuses on Astronomy, concentrating on Number density and intersecting with Wiener filter.
Between 2014 and 2021, his most popular works were:
- The galaxy-halo connection from a joint lensing, clustering and abundance analysis in the CFHTLenS/VIPERS field (126 citations)
- The galaxy-halo connection from a joint lensing, clustering and abundance analysis in the CFHTLenS/VIPERS field (126 citations)
- The VIMOS Public Extragalactic Redshift Survey (VIPERS). Full spectroscopic data and auxiliary information release (PDR-2) (109 citations)
In his most recent research, the most cited papers focused on:
- Galaxy
- Astronomy
- Statistics
His main research concerns Astrophysics, Galaxy, Redshift, Redshift survey and Astronomy.
His Astrophysics research integrates issues from General relativity and Cosmological constant.
Luigi Guzzo combines subjects such as Metric expansion of space and Strong gravity with his study of Galaxy.
His Redshift research is multidisciplinary, incorporating elements of Neutrino, Spectral density, Photometry and Sigma.
His study explores the link between Redshift survey and topics such as COSMIC cancer database that cross with problems in Distortion.
The concepts of his Luminous infrared galaxy study are interwoven with issues in Galaxy formation and evolution and Elliptical galaxy.
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.
