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 62 standout
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2 intermediate papers

Works of Lotte E. Terwindt 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
Lotte E. Terwindt 244 206 35 95 15 348
Marijn P. Mulder 239 217 31 96 9 356
Liselotte Hol 233 200 27 98 12 379
Soo Bin Yoon 130 89 46 29 17 322
Andrew Bishara 79 102 28 126 16 389
Stephen M. Engstrom 251 45 15 113 18 386
Benjamin J. Vaccaro 146 106 28 29 10 308
Alexander Volodarskiy 125 178 22 20 19 346
Alyssa T. Watanabe 87 26 31 52 18 310
Julian S. Haimovich 48 162 50 44 14 337
Veena Goel 185 84 38 8 13 319

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2026