Standout Papers

Real-time tracking of self-reported symptoms to predict potential COVID-19 2020 2026 2022 2024813
  1. Real-time tracking of self-reported symptoms to predict potential COVID-19 (2020)
    Cristina Menni, Ana M. Valdes et al. Nature Medicine

Immediate Impact

4 from Science/Nature 59 standout
Sub-graph 1 of 22

Citing Papers

Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
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2 intermediate papers

Works of Thomas Varsavsky being referenced

Real-time tracking of self-reported symptoms to predict potential COVID-19
2020 Standout

Author Peers

Author Last Decade Papers Cites
Thomas Varsavsky 139 20 29 287 215 6 855
Sajaysurya Ganesh 113 4 29 287 217 8 849
Sammy Place 55 4 617 347 22 1.0k
Quentin Mat 31 2 273 355 18 740
Fujun Peng 61 2 56 450 139 22 1.1k
Chiara Piliego 107 5 20 438 213 10 939
Tiantian Wu 83 3 32 504 119 21 1.0k
Yi Ye 51 1 20 299 117 29 1.1k
Romualdo Del Buono 123 5 20 440 220 23 1.1k
Emily L. Clarke 140 36 13 287 193 17 784
Huixin Lian 108 3 34 570 327 11 1.0k

All Works

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Rankless by CCL
2026