Standout Papers

To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opac... 2021 2026 2022 2024211
  1. To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis (2022)
    Sarah Lebovitz, Hila Lifshitz‐Assaf et al. Organization Science
  2. Is AI ground truth really true? The dangers of training and evaluating AI tools based on experts’ know-what \n (2021)
    Sarah Lebovitz, Natalia Levina et al. Warwick Research Archive Portal (University of Warwick)

Immediate Impact

1 by Nobel laureates 7 from Science/Nature 57 standout
Sub-graph 1 of 22

Citing Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities
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Nationwide real-world implementation of AI for cancer detection in population-based mammography screening
2025 Standout
3 intermediate papers

Works of Natalia Levina being referenced

To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis
2022 Standout
Is AI ground truth really true? The dangers of training and evaluating AI tools based on experts’ know-what \n
2021 Standout
and 1 more

Author Peers

Author Last Decade Papers Cites
Natalia Levina 499 541 428 70 2.1k
Elizabeth Davidson 648 989 587 92 3.0k
Daniel Veit 256 567 231 124 2.4k
Matthew Jones 421 894 325 60 2.1k
Eric Monteiro 335 821 290 50 1.6k
Ana Castillo 266 596 590 34 2.3k
Ping Wang 199 321 291 120 1.4k
Edgar A. Whitley 430 673 268 113 2.4k
Rolf T. Wigand 410 828 657 119 2.9k
Kai R. Larsen 380 1149 232 66 2.9k
Xiaodong Deng 166 370 152 73 1.8k

All Works

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Rankless by CCL
2026