Immediate Impact
2 from Science/Nature 57 standout
Citing Papers
Bias recognition and mitigation strategies in artificial intelligence healthcare applications
2025 Standout
From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare
2025 Standout
Works of Carlos Sáez being referenced
Potential limitations in COVID-19 machine learning due to data source variability: A case study in the nCov2019 dataset
2020
Author Peers
| Author | Last Decade | Papers | Cites | |||
|---|---|---|---|---|---|---|
| Carlos Sáez | 104 | 90 | 75 | 45 | 442 | |
| Dennis Toddenroth | 135 | 107 | 39 | 30 | 388 | |
| A. N. Yakovlev | 93 | 74 | 37 | 46 | 398 | |
| Luis Marco-Ruiz | 68 | 124 | 35 | 22 | 430 | |
| Athanasios Kiourtis | 121 | 113 | 53 | 36 | 403 | |
| Varadraj P. Gurupur | 106 | 56 | 48 | 40 | 462 | |
| Scott McLachlan | 168 | 80 | 32 | 22 | 460 | |
| Ashwin Belle | 90 | 103 | 18 | 18 | 471 | |
| Peter Weller | 132 | 67 | 25 | 25 | 470 | |
| Jeffrey G. Klann | 190 | 219 | 59 | 32 | 500 | |
| Enea Parimbelli | 115 | 73 | 15 | 42 | 425 |
All Works
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