| The Dramatic Size and Kinematic Evolution of Massive Early-type Galaxies A Lapi, L Pantoni, L Zanisi, J Shi, C Mancuso, M Massardi, F Shankar, ... The Astrophysical Journal 857 (1), 22, 2018 | 86 | 2018 |
| The Main Sequence at z∼ 1.3 Contains a Sizable Fraction of Galaxies with Compact Star Formation Sizes: A New Population of Early Post-starbursts? A Puglisi, E Daddi, D Liu, F Bournaud, JD Silverman, C Circosta, ... The Astrophysical Journal Letters 877 (2), L23, 2019 | 68 | 2019 |
| A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulations L Zanisi, M Huertas-Company, F Lanusse, C Bottrell, A Pillepich, ... Monthly Notices of the Royal Astronomical Society 501 (3), 4359-4382, 2021 | 54 | 2021 |
| Constraining black hole–galaxy scaling relations and radiative efficiency from galaxy clustering F Shankar, V Allevato, M Bernardi, C Marsden, A Lapi, N Menci, PJ Grylls, ... Nature Astronomy 4 (3), 282-291, 2020 | 48 | 2020 |
| Detecting outliers in astronomical images with deep generative networks B Margalef-Bentabol, M Huertas-Company, T Charnock, ... Monthly Notices of the Royal Astronomical Society 496 (2), 2346-2361, 2020 | 45 | 2020 |
| Probing black hole accretion tracks, scaling relations, and radiative efficiencies from stacked X-ray active galactic nuclei F Shankar, DH Weinberg, C Marsden, PJ Grylls, M Bernardi, G Yang, ... Monthly Notices of the Royal Astronomical Society 493 (1), 1500-1511, 2020 | 38 | 2020 |
| Galaxy sizes and the galaxy–halo connection–I. The remarkable tightness of the size distributions L Zanisi, F Shankar, A Lapi, N Menci, M Bernardi, C Duckworth, ... Monthly Notices of the Royal Astronomical Society 492 (2), 1671-1690, 2020 | 36 | 2020 |
| A statistical semi-empirical model: satellite galaxies in groups and clusters PJ Grylls, F Shankar, L Zanisi, M Bernardi Monthly Notices of the Royal Astronomical Society 483 (2), 2506-2523, 2019 | 35 | 2019 |
| The MAGPI survey: Science goals, design, observing strategy, early results and theoretical framework C Foster, JT Mendel, CDP Lagos, E Wisnioski, T Yuan, F D’eugenio, ... Publications of the Astronomical Society of Australia 38, e031, 2021 | 33 | 2021 |
| LeMMINGs III. The e-MERLIN legacy survey of the Palomar sample: exploring the origin of nuclear radio emission in active and inactive galaxies through the [O iii]–radio connection RD Baldi, DRA Williams, RJ Beswick, I McHardy, BT Dullo, JH Knapen, ... Monthly Notices of the Royal Astronomical Society 508 (2), 2019-2038, 2021 | 24 | 2021 |
| Predicting fully self-consistent satellite richness, galaxy growth, and star formation rates from the STatistical sEmi-Empirical modeL steel PJ Grylls, F Shankar, J Leja, N Menci, B Moster, P Behroozi, L Zanisi Monthly Notices of the Royal Astronomical Society 491 (1), 634-654, 2020 | 23 | 2020 |
| The evolution of compact massive quiescent and star-forming galaxies derived from the Re–Rh and Mstar–Mh relations L Zanisi, F Shankar, H Fu, A Rodriguez-Puebla, V Avila-Reese, A Faisst, ... Monthly Notices of the Royal Astronomical Society 505 (3), 4555-4570, 2021 | 16 | 2021 |
| Revisiting the bulge–halo conspiracy–II. Towards explaining its puzzling dependence on redshift F Shankar, A Sonnenfeld, P Grylls, L Zanisi, C Nipoti, KH Chae, ... Monthly Notices of the Royal Astronomical Society 475 (3), 2878-2890, 2018 | 15 | 2018 |
| Impact of therapeutic inertia on long-term blood pressure control: a Monte Carlo simulation study A Augustin, L Coutts, L Zanisi, AS Wierzbicki, F Shankar, PJ Chowienczyk, ... Hypertension 77 (4), 1350-1359, 2021 | 13 | 2021 |
| Testing the key role of the stellar mass–halo mass relation in galaxy merger rates and morphologies via DECODE, a novel Discrete statistical sEmi-empiriCal mODEl H Fu, F Shankar, M Ayromlou, M Dickson, I Koutsouridou, ... Monthly Notices of the Royal Astronomical Society 516 (3), 3206-3233, 2022 | 4 | 2022 |
| The size function of massive satellites from the Re–Rh and Mstar–Mh relations: constraining the role of environment L Zanisi, F Shankar, M Bernardi, S Mei, M Huertas-Company Monthly Notices of the Royal Astronomical Society: Letters 505 (1), L84-L89, 2021 | 4 | 2021 |
| Plasma Surrogate Modelling using Fourier Neural Operators V Gopakumar, S Pamela, L Zanisi, Z Li, A Gray, D Brennand, N Bhatia, ... arXiv preprint arXiv:2311.05967, 2023 | 3 | 2023 |
| Fourier Neural Operator for Plasma Modelling V Gopakumar, S Pamela, L Zanisi, Z Li, A Anandkumar, M Team arXiv preprint arXiv:2302.06542, 2023 | 3 | 2023 |
| Active learning pipeline for surrogate models of gyrokinetic turbulence J Burr, T Madula, L Zanisi, A Ho, J Citrin, V Gopakumar, S Pamela, ... APS Division of Plasma Physics Meeting Abstracts 2022, BP11. 002, 2022 | 3 | 2022 |
| Data efficiency and long term prediction capabilities for neural operator surrogate models of core and edge plasma codes N Carey, L Zanisi, S Pamela, V Gopakumar, J Omotani, J Buchanan, ... arXiv preprint arXiv:2402.08561, 2024 | 2 | 2024 |
