| Planck 2018 results-VI. Cosmological parameters N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, ... Astronomy & Astrophysics 641, A6, 2020 | 14698 | 2020 |
| Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and weak lensing TMC Abbott, M Aguena, A Alarcon, S Allam, O Alves, A Amon, ... Physical Review D 105 (2), 023520, 2022 | 1016 | 2022 |
| Planck 2018 results. VI. Cosmological parameters P Collaboration, N Aghanim, Y Akrami, M Ashdown, J Aumont, ... EDP Sciences, 2020 | 974 | 2020 |
| Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to data calibration A Amon, D Gruen, MA Troxel, N MacCrann, S Dodelson, A Choi, C Doux, ... Physical Review D 105 (2), 023514, 2022 | 413 | 2022 |
| Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty LF Secco, S Samuroff, E Krause, B Jain, J Blazek, M Raveri, A Campos, ... Physical Review D 105 (2), 023515, 2022 | 366 | 2022 |
| Dark Energy Survey year 1 results: Constraints on extended cosmological models from galaxy clustering and weak lensing TMC Abbott, FB Abdalla, S Avila, M Banerji, E Baxter, K Bechtol, ... Physical Review D 99 (12), 123505, 2019 | 240 | 2019 |
| Baryon acoustic oscillations and the Hubble constant: past, present and future A Cuceu, J Farr, P Lemos, A Font-Ribera Journal of Cosmology and Astroparticle Physics 2019 (10), 044, 2019 | 218 | 2019 |
| A buyer’s guide to the Hubble constant P Shah, P Lemos, O Lahav The Astronomy and Astrophysics Review 29, 1-69, 2021 | 175 | 2021 |
| Planck 2018 results. VI. Cosmological parameters (2018) N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, ... arXiv preprint arXiv:1807.06209 5 (6), 2018 | 142 | 2018 |
| Planck 2018 results-III. High Frequency Instrument data processing and frequency maps N Aghanim, Y Akrami, M Ashdown, J Aumont, C Baccigalupi, M Ballardini, ... Astronomy & Astrophysics 641, A3, 2020 | 141 | 2020 |
| Model independent H(z) reconstruction using the cosmic inverse distance ladder P Lemos, E Lee, G Efstathiou, S Gratton Monthly Notices of the Royal Astronomical Society 483 (4), 4803-4810, 2019 | 137 | 2019 |
| Quantifying tensions in cosmological parameters: Interpreting the DES evidence ratio W Handley, P Lemos Physical Review D 100 (4), 043504, 2019 | 130 | 2019 |
| Cosmological constraints from multiple probes in the dark energy survey TMC Abbott, A Alarcon, S Allam, P Andersen, F Andrade-Oliveira, J Annis, ... Physical review letters 122 (17), 171301, 2019 | 130 | 2019 |
| Dark Energy Survey Year 3 results: Constraints on extensions to with weak lensing and galaxy clustering TMC Abbott, M Aguena, A Alarcon, O Alves, A Amon, F Andrade-Oliveira, ... Physical Review D 107 (8), 083504, 2023 | 128 | 2023 |
| The effect of Limber and flat-sky approximations on galaxy weak lensing P Lemos, A Challinor, G Efstathiou Journal of Cosmology and Astroparticle Physics 2017 (05), 014, 2017 | 118 | 2017 |
| Survey geometry and the internal consistency of recent cosmic shear measurements MA Troxel, E Krause, C Chang, TF Eifler, O Friedrich, D Gruen, ... Monthly Notices of the Royal Astronomical Society 479 (4), 4998-5004, 2018 | 105 | 2018 |
| The unique potential of extreme mass-ratio inspirals for gravitational-wave astronomy CPL Berry, SA Hughes, CF Sopuerta, AJK Chua, A Heffernan, ... arXiv preprint arXiv:1903.03686, 2019 | 97 | 2019 |
| Rediscovering orbital mechanics with machine learning P Lemos, N Jeffrey, M Cranmer, S Ho, P Battaglia Machine Learning: Science and Technology 4 (4), 045002, 2023 | 96 | 2023 |
| A theory of continuous generative flow networks S Lahlou, T Deleu, P Lemos, D Zhang, A Volokhova, A Hernández-Garcıa, ... International Conference on Machine Learning, 18269-18300, 2023 | 86 | 2023 |
| Assessing tension metrics with dark energy survey and Planck data P Lemos, M Raveri, A Campos, Y Park, C Chang, N Weaverdyck, ... Monthly Notices of the Royal Astronomical Society 505 (4), 6179-6194, 2021 | 85 | 2021 |
