| p-Curve and p-Hacking in Observational Research SB Bruns, JPA Ioannidis PloS one 11 (2), e0149144, 2016 | 214 | 2016 |
| The impact of electricity on economic development: A macroeconomic perspective DI Stern, PJ Burke, SB Bruns | 209 | 2019 |
| Is there really Granger causality between energy use and output? SB Bruns, C Gross, DI Stern Energy Journal 35 (4), 101-134, 2014 | 128 | 2014 |
| Determinants of economic growth: Different time different answer? SB Bruns, JPA Ioannidis Journal of Macroeconomics 63, 103185, 2020 | 58 | 2020 |
| Reporting errors and biases in published empirical findings: Evidence from innovation research SB Bruns, I Asanov, R Bode, M Dunger, C Funk, SM Hassan, J Hauschildt, ... Research Policy 48 (9), 103796, 2019 | 56 | 2019 |
| Estimating the economy-wide rebound effect using empirically identified structural vector autoregressions SB Bruns, A Moneta, DI Stern Energy Economics 97, 105158, 2021 | 53* | 2021 |
| Do energy efficiency improvements reduce energy use? Empirical evidence on the economy-wide rebound effect in Europe and the United States A Berner, S Bruns, A Moneta, DI Stern Energy Economics 110, 105939, 2022 | 49 | 2022 |
| Lag length selection and p-hacking in Granger causality testing: prevalence and performance of meta-regression models SB Bruns, DI Stern Empirical Economics 56, 797-830, 2019 | 47* | 2019 |
| Research assessment using early citation information SB Bruns, DI Stern Scientometrics 108, 917-935, 2016 | 37 | 2016 |
| Meta‐regression models and observational research SB Bruns Oxford Bulletin of Economics and Statistics 79 (5), 637-653, 2017 | 35* | 2017 |
| Systematic review and meta-analysis of ex-post evaluations on the effectiveness of carbon pricing N Döbbeling-Hildebrandt, K Miersch, TM Khanna, M Bachelet, SB Bruns, ... Nature communications 15 (1), 4147, 2024 | 33 | 2024 |
| Reproducibility in Management Science M Fišar, B Greiner, C Huber, E Katok, AI Ozkes, ... Management Science 70 (3), 1343-1356, 2024 | 33 | 2024 |
| What if energy time series are not independent? Implications for energy-GDP causality analysis SB Bruns, C Gross Energy Economics 40, 753-759, 2013 | 33 | 2013 |
| Footprint of publication selection bias on meta‐analyses in medicine, environmental sciences, psychology, and economics F Bartoš, M Maier, EJ Wagenmakers, F Nippold, H Doucouliagos, ... Research Synthesis Methods 15 (3), 500-511, 2024 | 32 | 2024 |
| A multicointegration model of global climate change SB Bruns, Z Csereklyei, DI Stern Journal of Econometrics 214 (1), 175-197, 2020 | 29 | 2020 |
| Mass reproducibility and replicability: A new hope A Brodeur, D Mikola, N Cook IZA Discussion Papers, 2024 | 28 | 2024 |
| Are biodiversity losses valued differently when they are caused by human activities? A meta-analysis of the non-use valuation literature A Nobel, S Lizin, R Brouwer, SB Bruns, DI Stern, R Malina Environmental Research Letters 15 (7), 073003, 2020 | 26 | 2020 |
| Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking SB Bruns, M Kalthaus Research Policy 49 (1), 103877, 2020 | 26* | 2020 |
| Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review M Bekchanova, L Campion, S Bruns, T Kuppens, J Lehmann, ... Environmental evidence 13 (1), 3, 2024 | 18 | 2024 |
| Replication and robustness analysis of ‘energy and economic growth in the USA: A multivariate approach’ SB Bruns, J König, DI Stern Energy Economics 82, 100-113, 2019 | 14 | 2019 |
David I. SternProfessor, ACDE, Crawford School of Public Policy, The Australian National UniversityZweryfikowany adres z anu.edu.au
