Standout Papers

Probabilistic programming in Python using PyMC3 2016 2026 2019 2022 1.3k
  1. Probabilistic programming in Python using PyMC3 (2016)
    John Salvatier, Thomas V. Wiecki et al. PeerJ Computer Science
  2. Inferring the effectiveness of government interventions against COVID-19 (2020)
    Jan Brauner, Sören Mindermann et al. Science

Immediate Impact

3 by Nobel laureates 23 from Science/Nature 52 standout
Sub-graph 1 of 21

Citing Papers

A 485-million-year history of Earth’s surface temperature
2024 StandoutScience
Self-Driving Laboratories for Chemistry and Materials Science
2024 Standout
4 intermediate papers

Works of John Salvatier being referenced

Probabilistic programming in Python using PyMC3
2016 Standout

Author Peers

Author Last Decade Papers Cites
John Salvatier 188 135 248 464 297 4 2.0k
Jean-François Pinton 160 29 99 525 338 53 2.8k
Skipper Seabold 306 53 122 47 60 5 3.1k
Κ. N. Trirogoff 113 3 236 278 97 4 2.9k
Michael Wilczek 22 49 186 398 67 83 1.5k
Mikhail Prokopenko 345 26 363 292 56 107 2.8k
Qi Liu 20 246 102 168 145 105 1.8k
Antonietta Mira 579 8 134 167 64 88 2.4k
Yun Li 82 124 139 183 104 80 2.1k
Andrea Riebler 191 27 383 156 14 29 2.4k
Sigrunn H. Sørbye 188 23 335 156 15 32 1.7k

All Works

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Rankless by CCL
2026