Immediate Impact

36 standout
Sub-graph 1 of 12

Citing Papers

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems
2024 Standout
Global analysis of soil bacterial genera and diversity in response to pH
2024 Standout
2 intermediate papers

Works of Marcos E. Angelini being referenced

Machine learning in space and time for modelling soil organic carbon change
2020
Multivariate mapping of soil with structural equation modelling
2017

Author Peers

Author Last Decade Papers Cites
Marcos E. Angelini 165 201 57 61 14 333
József Szabó 148 161 50 46 24 303
Braz Calderano Filho 149 239 69 69 18 355
P. Kamoni 220 146 37 85 14 356
R. Webster 124 197 52 47 9 337
Bertrand Laroche 141 194 71 62 8 325
Jonathan Hempel 120 169 65 89 8 363
Felix Stumpf 146 194 28 134 13 349
Stephen Akpa 189 226 80 84 8 335
Shao Ming-an 245 112 49 98 11 346
Giovanni L’Abate 175 114 32 68 16 348

All Works

Loading papers...

Rankless by CCL
2026