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
2024 Standout
AI for science: Predicting infectious diseases
2024 Standout
2 intermediate papers

Works of Sajaysurya Ganesh being referenced

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

Author Peers

Author Last Decade Papers Cites
Sajaysurya Ganesh 217 47 20 287 173 8 849
Thomas Varsavsky 215 56 1 287 173 6 855
Julie Domen 220 25 3 424 27 7 731
Pierre Cabaraux 398 4 8 276 230 17 720
Thomas Struyf 216 24 4 341 26 21 734
Quentin Mat 355 4 3 273 140 18 740
Chiara Piliego 213 15 5 438 11 10 939
Emily L. Clarke 193 142 3 287 15 17 784
Xuqin Kang 329 21 3 572 14 9 982
Shengmei Niu 328 21 3 572 14 10 982
Frédérique Jacquérioz 108 12 2 445 15 23 934

All Works

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Rankless by CCL
2026