Standout Papers

The myth of generalisability in clinical research and machine learning in health care 2020 2026 2022 2024231
  1. The myth of generalisability in clinical research and machine learning in health care (2020)
    Joseph Futoma, Morgan Simons et al. The Lancet Digital Health

Immediate Impact

2 from Science/Nature 58 standout
Sub-graph 1 of 22

Citing Papers

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Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation study
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2 intermediate papers

Works of Morgan Simons being referenced

The myth of generalisability in clinical research and machine learning in health care
2020 Standout

Author Peers

Author Last Decade Papers Cites
Morgan Simons 88 142 17 91 90 6 324
Nariman Noorbakhsh-Sabet 65 71 4 65 125 7 338
Meghan R. Hutch 57 116 2 72 62 10 321
Nathan Brajer 100 138 27 64 143 5 342
Boris Pfahringer 95 116 4 45 61 4 310
Anna Siefkas 64 69 3 84 36 15 282
Irfan Ahmed 30 72 8 68 98 15 317
Zherui Liu 52 79 8 62 98 11 338
Florence M. Aellen 29 94 6 80 167 9 361
Marta Fernandes 66 107 9 53 85 16 335
Modi Liu 73 108 6 44 50 7 343

All Works

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2026