Standout Papers

Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on ... 2020 2026 2022 2024282
  1. Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery (2020)
    Marije Wijnberge, Bart F. Geerts et al. JAMA

Immediate Impact

1 from Science/Nature 61 standout
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2 intermediate papers

Works of Liselotte Hol being referenced

Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery
2020 Standout

Author Peers

Author Last Decade Papers Cites
Liselotte Hol 82 42 200 233 98 12 379
Lotte E. Terwindt 26 27 206 244 95 15 348
Marijn P. Mulder 31 18 217 239 96 9 356
Andrew Bishara 18 38 102 79 126 16 389
Guy Meyer 143 42 119 86 13 11 419
Akash Nayak 33 66 136 81 6 12 350
Tezcan Ozrazgat Baslanti 51 89 96 129 7 17 402
Carlos Mena 138 10 109 217 14 24 421
Michelle Simon 60 14 119 148 4 15 357
Davy van de Sande 66 14 26 111 141 17 353
Vincent J. Major 197 38 15 26 53 29 342

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