Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.
Papers
(1 of 16)
Scalable signed exponential random graph models under local dependence
published2026 · Computational Statistics & Data Analysis
Discussion of “A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Pavel N. Krivitsky, Pietro Coletti, and Niel Hens
published2023 · Journal of the American Statistical Association · 1 citations
deepregression : A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
published2023 · Journal of Statistical Software · 8 citations · first circulated 2021
with David Rügamer, Chris Kolb, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann, Lucas Kook, Nadja Klein, …
Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany
published2022 · Journal of Computational and Graphical Statistics · 2 citations
with Giacomo De Nicola, Felix Günther, David Rügamer, Martje Rave, Marc Schneble, Andreas Bender, Maximilian Weigert, Ralph Brinks, Annika Hoyer, Ursula Berger, Helmut Küchenhoff, Göran Kauermann, …
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.