| Probabilistic random forest: A machine learning algorithm for noisy data sets I Reis, D Baron, S Shahaf The Astronomical Journal 157 (1), 16, 2018 | 144 | 2018 |
| HERA phase I limits on the cosmic 21 cm signal: constraints on astrophysics and cosmology during the epoch of reionization Z Abdurashidova, JE Aguirre, P Alexander, ZS Ali, Y Balfour, R Barkana, ... The Astrophysical Journal 924 (2), 51, 2022 | 104 | 2022 |
| Self-organized topological state in a magnetic chain on the surface of a superconductor I Reis, DJJ Marchand, M Franz Physical Review B 90 (8), 085124, 2014 | 68 | 2014 |
| High-redshift radio galaxies: a potential new source of 21-cm fluctuations I Reis, A Fialkov, R Barkana Monthly Notices of the Royal Astronomical Society 499 (4), 5993-6008, 2020 | 64 | 2020 |
| The subtlety of Ly α photons: changing the expected range of the 21-cm signal I Reis, A Fialkov, R Barkana Monthly Notices of the Royal Astronomical Society 506 (4), 5479-5493, 2021 | 54 | 2021 |
| Detecting outliers and learning complex structures with large spectroscopic surveys–A case study with APOGEE stars I Reis, D Poznanski, D Baron, G Zasowski, S Shahaf Monthly Notices of the Royal Astronomical Society 476 (2), 2117-2136, 2018 | 50 | 2018 |
| Effect of the cosmological transition to metal-enriched star formation on the hydrogen 21-cm signal M Magg, I Reis, A Fialkov, R Barkana, RS Klessen, SCO Glover, LH Chen, ... Monthly Notices of the Royal Astronomical Society 514 (3), 4433-4449, 2022 | 26 | 2022 |
| Effectively using unsupervised machine learning in next generation astronomical surveys I Reis, M Rotman, D Poznanski, JX Prochaska, L Wolf Astronomy and Computing 34, 100437, 2021 | 17 | 2021 |
| Shot noise and scatter in the star formation efficiency as a source of 21-cm fluctuations I Reis, R Barkana, A Fialkov Monthly Notices of the Royal Astronomical Society 511 (4), 5265-5273, 2022 | 15 | 2022 |
| Redshifted broad absorption line quasars found via machine-learned spectral similarity I Reis, D Poznanski, PB Hall Monthly Notices of the Royal Astronomical Society 480 (3), 3889-3897, 2018 | 10 | 2018 |
| Mapping Discrete Galaxies at Cosmic Dawn with 21 cm Observations I Reis, R Barkana, A Fialkov The Astrophysical Journal 933 (1), 51, 2022 | 6 | 2022 |
| Strong 21-cm fluctuations and anisotropy due to the line-of-sight effect of radio galaxies at cosmic dawn S Sikder, R Barkana, A Fialkov, I Reis Monthly Notices of the Royal Astronomical Society 527 (4), 10975-10985, 2024 | 5 | 2024 |
| PRF: Probabilistic Random Forest I Reis, D Baron Astrophysics Source Code Library, ascl: 1903.009, 2019 | 3 | 2019 |
| Detect the Unexpected: Novelty Detection in Large Astrophysical Surveys using Fisher Vectors. M Rotman, I Reis, D Poznanski, L Wolf KDIR, 124-134, 2019 | 3 | 2019 |
| Emulation of the cosmic dawn 21-cm power spectrum and classification of excess radio models using an artificial neural network S Sikder, R Barkana, I Reis, A Fialkov Monthly Notices of the Royal Astronomical Society 527 (4), 9977-9998, 2024 | 2 | 2024 |
| Machine Learning to Decipher the Astrophysical Processes at Cosmic Dawn S Sikder, R Barkana, I Reis, A Fialkov arXiv preprint arXiv:2201.08205, 2022 | 2 | 2022 |
| The Intrinsic Scatter of the Broad Lines–Narrow Line Correlation in Type I AGN I Reis The Astronomical Journal 159 (4), 159, 2020 | | 2020 |
| Probabilistic Random Forest I Reis, D Baron, S Shahaf | | 2018 |
| VizieR Online Data Catalog: Outliers and similarity in APOGEE (Reis+, 2018) I Reis, D Poznanski, D Baron, G Zasowski, S Shahaf VizieR Online Data Catalog, J/MNRAS/476/2117, 2017 | | 2017 |
