Elamur Research⌕
☰
home / papers / Retrieving Floods without Floodlights: Topic… / cited by

Who cites «Retrieving Floods without Floodlights: Topic Models as Binary Classifiers for Extreme Climate Events in German News»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · ← back to «Retrieving Floods without Floodlights: Topic Models as Binary Classifiers for Extreme Climate Events in German News»

  1. How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the WorldarXiv:2605.18105Brielen Madureira, Andreas Niekler, Marc Keuschnigg, et al.2026

This page in Markdown → https://md.research.elamur.ai/free/en/papers/madureira-2026-retrieving-floods-without-floodlights-topic/cited-by/