Immediate Impact
1 standout
Citing Papers
Colloquium: Machine learning in nuclear physics
2022 Standout
Works of B. Seilhan being referenced
Applying a Template of Expected Uncertainties to Updating 239Pu(n,f) Cross-section Covariances in the Neutron Data Standards Database
2020
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| B. Seilhan | 23 | 19 | 6 | 10 | 3 | 28 | |
| B. M. Ciungu | 15 | 11 | 4 | 2 | 18 | ||
| D. Lacour | 20 | 6 | 4 | 2 | 4 | 23 | |
| X. Li | 17 | 18 | 18 | 3 | 22 | ||
| D. Sampsonidis | 18 | 12 | 4 | 2 | 18 | ||
| I. Goulas | 29 | 18 | 4 | 3 | 33 | ||
| R. A. Salmin | 19 | 5 | 2 | 2 | 2 | 22 | |
| M. G. Kurth | 15 | 4 | 3 | 4 | 2 | 22 | |
| T. Huddleston | 22 | 25 | 17 | 3 | 33 | ||
| A. Laurier | 9 | 23 | 21 | 2 | 26 | ||
| P. Puzo | 11 | 11 | 2 | 3 | 20 |
All Works
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