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Johannes Gussenbauer

Observed names: Gussenbauer, J., J. Gussenbauer
Institution: Statistics Austria
Observed institution: Statistics Austria
ORCID: 0000-0002-4666-4174
Observed ORCID: 0000-0002-4666-4174
OpenAlex ID: A5062876520
Evaluation of robust outlier detection methods for zero-inflated complex data
2019 · M. Templ, J. Gussenbauer, et al. · Journal of Applied Statistics · 45
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High-resolution synthetic population mapping for quantifying disparities in disaster impacts: An application in the Bangladesh Coastal Zone
2022 · Steven Rubinyi, Jasper Verschuur, et al. · Frontiers in Environmental Science · 14
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sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
2007 · Matthias Templ, Bernhard Meindl, et al. · 4
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Simulation of Calibrated Complex Synthetic Population Data with XGBoost
2024 · Johannes Gussenbauer, Matthias Templ, et al. · Algorithms · 3
Performance evaluation of machine learning-based imputation for missing data analysis in the R package VIM
2025 · Nina Niederhametner, Johannes Gussenbauer, et al. · Statistical Journal of the IAOS · 2
The R-package surveysd: Estimating standard errors for complex surveys with a rotating panel design
2021 · Johannes Gussenbauer, Gregor de Cillia · Statistical Journal of the IAOS · 1
Spatially referenced synthetic households for high-resolution population modeling
2021 · Steven Rubinyi, Jim W. Hall, et al. · Oxford University Research Archive (ORA) (University of Oxford) · 1
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surveysd: Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs
2019 · Johannes Gussenbauer, Alexander Kowarik, et al. · 1
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Survey Standard Error Estimation for Cumulated Estimates and their Differences in Complex Panel Designs [R package surveysd version 1.3.0]
2020 · Johannes Gussenbauer, Alexander Kowarik, et al.
Works count: 10
Citation count: 71
H-index: 3
I10-index: 2
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