Standout Papers
Immediate Impact
1 from Science/Nature 59 standout
Citing Papers
Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
2025 Standout
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
2025 Standout
Works of Christoph Molnar being referenced
iml: An R package for Interpretable Machine Learning
2018 Standout
Author Peers
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Christoph Molnar | 135 | 11 | 10 | 182 | 111 | 10 | 669 | |
| Guo Tang | 48 | 3 | 137 | 14 | 18 | 729 | ||
| Søren Feodor Nielsen | 99 | 165 | 1 | 80 | 27 | 34 | 741 | |
| Frauke Degenhardt | 37 | 13 | 27 | 60 | 25 | 722 | ||
| Dae‐Jin Lee | 24 | 79 | 27 | 14 | 35 | 774 | ||
| Steven J. Rigatti | 144 | 5 | 13 | 39 | 12 | 839 | ||
| Donald McKay | 352 | 1 | 4 | 38 | 4 | 17 | 651 | |
| A. J. B. Anderson | 56 | 15 | 1 | 10 | 8 | 12 | 641 | |
| Gaurav Pandey | 32 | 5 | 13 | 31 | 15 | 693 | ||
| Qi Gong | 20 | 65 | 1 | 17 | 18 | 25 | 780 | |
| Philipp Probst | 144 | 24 | 5 | 10 | 11 | 13 | 783 |
All Works
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