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Hossen Teimoorinia

The Great Observatories Origins Deep Survey
2010 · I. Balestra, V. Mainieri, et al. · Astronomy and Astrophysics · 277
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How do central and satellite galaxies quench? – Insights from spatially resolved spectroscopy in the MaNGA survey
2020 · Asa F L Bluck, Roberto Maiolino, et al. · Monthly Notices of the Royal Astronomical Society · 142
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Are galactic star formation and quenching governed by local, global, or environmental phenomena?
2019 · Asa F L Bluck, Roberto Maiolino, et al. · Monthly Notices of the Royal Astronomical Society · 137
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The impact of galactic properties and environment on the quenching of central and satellite galaxies: a comparison between SDSS, Illustris and L-Galaxies
2016 · Asa F. L. Bluck, J. Trevor Mendel, et al. · Monthly Notices of the Royal Astronomical Society · 129
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Deep learning predictions of galaxy merger stage and the importance of observational realism
2019 · Connor Bottrell, Maan H Hani, et al. · Monthly Notices of the Royal Astronomical Society · 113
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The star formation rates of active galactic nuclei host galaxies
2016 · Sara L. Ellison, Hossen Teimoorinia, et al. · Monthly Notices of the Royal Astronomical Society Letters · 88
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Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG
2021 · Robert W Bickley, Connor Bottrell, et al. · Monthly Notices of the Royal Astronomical Society · 84
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The ALMaQUEST survey – III. Scatter in the resolved star-forming main sequence is primarily due to variations in star formation efficiency
2019 · Sara L Ellison, Mallory D Thorp, et al. · Monthly Notices of the Royal Astronomical Society Letters · 81
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An artificial neural network approach for ranking quenching parameters in central galaxies
2016 · Hossen Teimoorinia, Asa F. L. Bluck, et al. · Monthly Notices of the Royal Astronomical Society · 72
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What shapes a galaxy? – unraveling the role of mass, environment, and star formation in forming galactic structure
2019 · Asa F L Bluck, Connor Bottrell, et al. · Monthly Notices of the Royal Astronomical Society · 71
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Ly$\mathsf{\alpha}$ emitters in the GOODS-S field
2009 · A. Raiter, R. A. E. Fosbury, et al. · Astronomy and Astrophysics · 39
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The combined and respective roles of imaging and stellar kinematics in identifying galaxy merger remnants
2021 · Connor Bottrell, Maan H Hani, et al. · Monthly Notices of the Royal Astronomical Society · 34
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Metabolomics and computational analysis of the role of monoamine oxidase activity in delirium and SARS-COV-2 infection
2021 · Miroslava Cuperlovic-Culf, Emma L. Cunningham, et al. · Scientific Reports · 30
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Stellar populations with optical spectra: deep learning versus popular spectrum fitting codes
2024 · Joanna Woo, Dan Walters, et al. · Monthly Notices of the Royal Astronomical Society · 26
A reassessment of strong line metallicity conversions in the machine learning era
2021 · Hossen Teimoorinia, Mansoureh Jalilkhany, et al. · Monthly Notices of the Royal Astronomical Society · 24
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Pattern recognition in the ALFALFA.70 and Sloan Digital Sky Surveys: a catalogue of ∼500 000 H i gas fraction estimates based on artificial neural networks
2016 · Hossen Teimoorinia, Sara L. Ellison, et al. · Monthly Notices of the Royal Astronomical Society · 22
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Mapping the Diversity of Galaxy Spectra with Deep Unsupervised Machine Learning
2022 · Hossen Teimoorinia, Finn Archinuk, et al. · The Astronomical Journal · 20
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Velocity curve analysis of the spectroscopic binary stars by the non-linear least squares
2007 · K. Karami, H. Teimoorinia · Astrophysics and Space Science · 16
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Comparison of Multi-class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses
2020 · Hossen Teimoorinia, Robert D. Toyonaga, et al. · Publications of the Astronomical Society of the Pacific · 15
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The discrimination between star-forming and AGN galaxies in the absence of H α and [N ii]: a machine -learning approach
2018 · H Teimoorinia, J Keown · Monthly Notices of the Royal Astronomical Society · 15
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Classifying galaxy spectra at 0.5 < z < 1 with self-organizing maps
2018 · S Rahmani, H Teimoorinia, et al. · Monthly Notices of the Royal Astronomical Society · 15
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SPECTRAL CLASSIFICATION OF GALAXIES AT 0.5 ⩽z⩽ 1 IN THE CDFS: THE ARTIFICIAL NEURAL NETWORK APPROACH
2012 · H. Teimoorinia · The Astronomical Journal · 12
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Forecasting wavefront corrections in an adaptive optics system
2022 · Rehan Hafeez, Finn Archinuk, et al. · Journal of Astronomical Telescopes Instruments and Systems · 10
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Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning
2024 · Seyed Morteza Moghimi, Thomas Aaron Gulliver, et al. · Energies · 9
Mitigating the nonlinearities in a pyramid wavefront sensor
2023 · Finn Archinuk, Rehan Hafeez, et al. · Journal of Astronomical Telescopes Instruments and Systems · 9
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Works count: 45
Citation count: 1,518
H-index: 17
I10-index: 23
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