Shoubaneh Hemmati

About Shoubaneh Hemmati

Shoubaneh Hemmati, With an exceptional h-index of 31 and a recent h-index of 29 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of cosmology, deep learning, galaxy evolution.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ultraviolet and Blue Optical Imaging of UVCANDELS

Large-scale Structures in COSMOS2020: Evolution of Star Formation Activity in Different Environments at 0.4< z< 4

Reducing the Dimensions of the AGN Glossary

A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys

The Universe SPHEREx Will See: Empirically Based Galaxy Simulations and Redshift Predictions

The UV luminosity function at 0.6< z< 1 from UVCANDELS

COSMOS-Web: an overview of the JWST Cosmic Origins Survey

The Lyman Continuum Escape Fraction of Star-forming Galaxies at from UVCANDELS

Shoubaneh Hemmati Information

University

Position

/ IPAC

Citations(all)

3148

Citations(since 2020)

2530

Cited By

1552

hIndex(all)

31

hIndex(since 2020)

29

i10Index(all)

39

i10Index(since 2020)

38

Email

University Profile Page

Google Scholar

Shoubaneh Hemmati Skills & Research Interests

cosmology

deep learning

galaxy evolution

Top articles of Shoubaneh Hemmati

Large-scale Structures in COSMOS2020: Evolution of Star Formation Activity in Different Environments at 0.4< z< 4

The Astrophysical Journal

2024/4/23

Reducing the Dimensions of the AGN Glossary

American Astronomical Society Meeting Abstracts

2024/2

A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys

The Astrophysical Journal

2023/1/17

The Universe SPHEREx Will See: Empirically Based Galaxy Simulations and Redshift Predictions

arXiv preprint arXiv:2312.04636

2023/12/7

Richard M Feder
Richard M Feder

H-Index: 2

Shoubaneh Hemmati
Shoubaneh Hemmati

H-Index: 22

VizieR Online Data Catalog: CANDELS/SHARDS multiwavelength cat. in GOODS-N (Barro+, 2019)

VizieR Online Data Catalog

2023/3

Deblending Galaxies with Generative Adversarial Networks

The Astrophysical Journal

2022/12/19

COSMOS2020: Manifold learning to estimate physical parameters in large galaxy surveys

Astronomy & Astrophysics

2022/9/1

Categorizing models using Self-Organizing Maps: an application to modified gravity theories probed by cosmic shear

arXiv preprint arXiv:2110.13171

2021/10/25

Shoubaneh Hemmati
Shoubaneh Hemmati

H-Index: 22

Jason Rhodes
Jason Rhodes

H-Index: 1

VizieR Online Data Catalog: 120 3<= z<= 5 galaxies candidates in CANDELS fields (Shahidi+, 2020)

VizieR Online Data Catalog

2021/10

Cosmology with the Roman Space Telescope – multiprobe strategies

Monthly Notices of the Royal Astronomical Society

2021/10

Cosmology with the Roman Space Telescope: synergies with the Rubin Observatory Legacy Survey of Space and Time

Monthly Notices of the Royal Astronomical Society

2021/10

SUPERCAL: Unified Reprocessing of the Large HST Cosmology Survey Fields-New Science, Archival Legacy, and Pathfinder for JWST

HST Proposal

2021/6

Generating HST-like Galaxy Images with Deep Neural Networks

HST Proposal

2021/6

A synthetic Roman Space Telescope High-Latitude Imaging Survey: simulation suite and the impact of wavefront errors on weak gravitational lensing

Monthly Notices of the Royal Astronomical Society

2021/2

See List of Professors in Shoubaneh Hemmati University(California Institute of Technology)