The DESI experiment part I: science, targeting, and survey design A Aghamousa, J Aguilar, S Ahlen, S Alam, LE Allen, CA Prieto, J Annis, ... arXiv preprint arXiv:1611.00036, 2016 | 537 | 2016 |

CosmoSIS: Modular cosmological parameter estimation J Zuntz, M Paterno, E Jennings, D Rudd, A Manzotti, S Dodelson, S Bridle, ... Astronomy and Computing 12, 45-59, 2015 | 415 | 2015 |

The abundance of voids and the excursion set formalism E Jennings, Y Li, W Hu Monthly Notices of the Royal Astronomical Society 434 (3), 2167-2181, 2013 | 157 | 2013 |

The non-linear matter and velocity power spectra in *f*(*R*) gravityB Li, WA Hellwing, K Koyama, GB Zhao, E Jennings, CM Baugh Monthly Notices of the Royal Astronomical Society 428 (1), 743-755, 2013 | 156 | 2013 |

Modelling redshift space distortions in hierarchical cosmologies E Jennings, CM Baugh, S Pascoli Monthly Notices of the Royal Astronomical Society 410 (3), 2081-2094, 2011 | 154 | 2011 |

Forward modeling of large-scale structure: An open-source approach with Halotools AP Hearin, D Campbell, E Tollerud, P Behroozi, B Diemer, NJ Goldbaum, ... The Astronomical Journal 154 (5), 190, 2017 | 144 | 2017 |

Redshift-space distortions in *f*(R) gravityE Jennings, CM Baugh, B Li, GB Zhao, K Koyama Monthly Notices of the Royal Astronomical Society 425 (3), 2128-2143, 2012 | 140 | 2012 |

Biased tracers in redshift space in the EFT of large-scale structure A Perko, L Senatore, E Jennings, RH Wechsler arXiv preprint arXiv:1610.09321, 2016 | 114 | 2016 |

The DESI experiment part I: science, targeting, and survey design D Collaboration, A Aghamousa, J Aguilar, S Ahlen, S Alam, L Allen, ... | 102 | 2016 |

Enabling real-time multi-messenger astrophysics discoveries with deep learning EA Huerta, G Allen, I Andreoni, JM Antelis, E Bachelet, GB Berriman, ... Nature Reviews Physics 1 (10), 600-608, 2019 | 80 | 2019 |

The DESI experiment part II: instrument design A Aghamousa, J Aguilar, S Ahlen, S Alam, LE Allen, CA Prieto, J Annis, ... arXiv preprint arXiv:1611.00037, 2016 | 78 | 2016 |

astroABC: an approximate Bayesian computation sequential Monte Carlo sampler for cosmological parameter estimation E Jennings, M Madigan Astronomy and computing 19, 16-22, 2017 | 75 | 2017 |

A turbulent eddy-viscosity surrogate modeling framework for Reynolds-averaged Navier-Stokes simulations R Maulik, H Sharma, S Patel, B Lusch, E Jennings Computers & Fluids 227, 104777, 2021 | 74 | 2021 |

Galaxy infall kinematics as a test of modified gravity Y Zu, DH Weinberg, E Jennings, B Li, M Wyman Monthly Notices of the Royal Astronomical Society 445 (2), 1885-1897, 2014 | 74 | 2014 |

Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey A Khan, EA Huerta, S Wang, R Gruendl, E Jennings, H Zheng Physics Letters B 795, 248-258, 2019 | 58 | 2019 |

Bayesian strategies for uncertainty quantification of the thermodynamic properties of materials NH Paulson, E Jennings, M Stan International Journal of Engineering Science 142, 74-93, 2019 | 49 | 2019 |

Testing gravity using the growth of large scale structure in the Universe E Jennings, E Jennings Simulations of Dark Energy Cosmologies, 83-96, 2012 | 49 | 2012 |

Simulations of quintessential cold dark matter: beyond the cosmological constant E Jennings, CM Baugh, RE Angulo, S Pascoli Monthly Notices of the Royal Astronomical Society 401 (4), 2181-2201, 2010 | 48 | 2010 |

Galaxy cluster lensing masses in modified lensing potentials A Barreira, B Li, E Jennings, J Merten, L King, CM Baugh, S Pascoli Monthly Notices of the Royal Astronomical Society 454 (4), 4085-4102, 2015 | 47 | 2015 |

An improved model for the non-linear velocity power spectrum E Jennings Monthly Notices of the Royal Astronomical Society: Letters 427 (1), L25-L29, 2012 | 44 | 2012 |