---
title: "Who cites Retrieving Floods without — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Retrieving Floods without Floodlights: Topic Models as Binary Classifiers for Extreme Climate…"
canonical: "https://research.elamur.ai/free/en/papers/madureira-2026-retrieving-floods-without-floodlights-topic/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/madureira-2026-retrieving-floods-without-floodlights-topic/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Retrieving Floods without Floodlights: Topic…](https://md.research.elamur.ai/free/en/papers/madureira-2026-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»](https://md.research.elamur.ai/free/en/papers/madureira-2026-retrieving-floods-without-floodlights-topic/)

1. [**How Loud Rumbles Hit Newsstands: A Data Analysis of Coverage and Spatial Bias in German News about Landslides Around the World arXiv:2605.18105**Brielen Madureira, Andreas Niekler, Marc Keuschnigg, et al.*2026*](https://md.research.elamur.ai/free/en/papers/madureira-2026-loud-rumbles-hit-newsstands-data/)
- [← back to](https://md.research.elamur.ai/free/en/papers/madureira-2026-retrieving-floods-without-floodlights-topic/) — Retrieving Floods without Floodlights: Topic Models as Binary Classifiers for Extreme Climate Events in German News