| FABIO—the construction of the food and agriculture biomass input–output model M Bruckner, R Wood, D Moran, N Kuschnig, H Wieland, V Maus, ... Environmental Science & Technology 53 (19), 11302-11312, 2019 | 105 | 2019 |
| BVAR: Bayesian vector autoregressions with hierarchical prior selection in R N Kuschnig, L Vashold Journal of Statistical Software 100 (14), 2021 | 30 | 2021 |
| A pantropical assessment of deforestation caused by industrial mining S Giljum, V Maus, N Kuschnig, S Luckeneder, M Tost, LJ Sonter, ... Proceedings of the National Academy of Sciences 119 (38), e2118273119, 2022 | 26 | 2022 |
| Spatial spillover effects from agriculture drive deforestation in Mato Grosso, Brazil N Kuschnig, J Crespo Cuaresma, T Krisztin, S Giljum Scientific Reports 11 (1), 1-9, 2021 | 25* | 2021 |
| BVAR: hierarchical Bayesian vector autoregression N Kuschnig, L Vashold R package version 1.0.2, 2021 | 6 | 2021 |
| Bayesian spatial econometrics: a software architecture N Kuschnig Journal of Spatial Econometrics 3 (1), 6, 2022 | 2 | 2022 |
| Hidden in plain sight: influential sets in linear regression N Kuschnig, G Zens, JC Cuaresma | 2* | 2022 |
| Eroding resilience of deforestation interventions—evidence from Brazil’s lost decade N Kuschnig, L Vashold, AC Soterroni, M Obersteiner Environmental Research Letters, 2023 | | 2023 |
| Inadequate methods undermine a study of malaria, deforestation and trade N Kuschnig Nature Communications 12 (1), 1-3, 2021 | | 2021 |
Jesus Crespo CuaresmaVienna University of Economics and BusinessVerified email at wu.ac.at
