Publications

139 co-authored refereed papers: Up-to-date list of all papers on ADS

First-author publications

Up-to-date list of first-author papers on ADS

15 first-author papers, 2415 citations.

• Buchner et al. (2026): A large population of overmassive black hole quasars at z=0.3-0.8 revealed by eROSITA, accepted by A&A — selected for A&A featured image; press release planned for Sep 7th 2026.
• Buchner (2025): High-impact Scientific Software in Astronomy and its creators, BAAS, 57, 1
• Buchner et al. (2024): Genuine Retrieval of the AGN Host Stellar Population (GRAHSP), A&A, A161, 692 (24 citations) — the first SED code validated to produce unbiased stellar mass estimates in AGN hosts.
• Buchner & Fotopoulou (2024): How to set up your first machine learning project in astronomy, Nature Reviews Physics, 535, 6 (1 citation)
• Buchner (2024): Impediments to the cosmic growth of galaxies: The outflow budget from Star Formation and Active Galactic Nuclei, A&A, L2, 689 (4 citations)
• Buchner (2024): Relative Jump Distance: a diagnostic for Nested Sampling, arXiv e-prints (3 citations)
• Buchner (2023): Nested Sampling Methods, Statistics Surveys, 169, 17 (124 citations)
• Buchner et al. (2022): Systematic evaluation of variability detection methods for eROSITA, A&A, A18, 661 (14 citations)
• Buchner (2021): UltraNest - a robust, general purpose Bayesian inference engine, JOSS, 3001, 6 (500 citations)
• Buchner et al. (2021): Physically motivated X-ray obscurer models, A&A, A58, 651 (35 citations) — X-ray simulations of obscurers around black holes, based on radiative-hydrodynamic simulations.
• Buchner (2019): Collaborative Nested Sampling: Big Data versus Complex Physical Models, PASP special issue: Focus on Machine Intelligence in Astronomy and Astrophysics, 108005, 131 (241 citations)
• Buchner et al. (2019): X-ray spectral and eclipsing model of the clumpy obscurer in active galactic nuclei, A&A, A16, 629 (92 citations) — simulation of a clumpy environment near the black hole; predictions and testing of the X-ray spectrum and variability.
• Buchner et al. (2019): On the Prevalence of Supermassive Black Holes over Cosmic Time, ApJ, 117, 874 (21 citations) — explores the origin of super-massive black holes; predictions for space-based gravitational waves.
• Buchner & Bauer (2017): Galaxy gas as obscurer - II. Separating the galaxy-scale and nuclear obscurers of active galactic nuclei, MNRAS, 4348, 465 (77 citations)
• Buchner, Schulze & Bauer (2017): Galaxy gas as obscurer - I. GRBs x-ray galaxies and find an N_H³∝ M_* relation, MNRAS, 4545, 464 (45 citations)
• Buchner (2016): A statistical test for Nested Sampling algorithms, Statistics and Computing, 383-392, 26 (136 citations)
• Buchner et al. (2015): Obscuration-dependent Evolution of Active Galactic Nuclei, ApJ, 89, 802 (263 citations) — reconstructs the distribution and evolution of AGN in obscuration and luminosity; first constraint on the luminosity function of the most heavily obscured AGN.
• Buchner et al. (2014): X-ray spectral modelling of the AGN obscuring region in the CDFS: Bayesian model selection and catalogue, A&A, A125, 564 (1361 citations) — Bayesian model comparison of AGN obscurer geometries; presents advances in X-ray spectral analysis including Bayesian parametric analysis and Goodness-of-Fit.
• Buchner (2011) — Dynamic scheduling and planning parallel observations on large Radio Telescope Arrays with the Square Kilometre Array in mind. Master thesis
• Buchner (2009) — An Introduction to Bayesian Inference with Parallel Tempering MCMC. Bachelor thesis
• Buchner (2007) — Auswahlalgorithmen und Quorumbasierte Protokolle für verteilte Datenbanksysteme. Computer Science Bachelor thesis

Books

• Buchner & Boorman: Statistical Aspects of X-ray Spectral Analysis, invited chapter for the Handbook of X-ray and Gamma-ray Astrophysics (Eds. A. Santangelo, C. Bambi, Springer) — 20 citations.

I regularly referee papers for ApJ, A&A, MNRAS and Nature Astronomy.