# Analyse der Entwicklungstreiber milit"arischer Schwarmdrohnen durch Natural Language Processing

arXiv: https://arxiv.org/abs/2211.09680 · HTML: https://mlsanity.com/paper/2211.09680/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 20 references that are in the map.
- First posted on arXiv 15 Nov 2022.

## Builds on (most cited first, 1 of 1)

- [Provider-centric Allocation of Drone Swarm Services](https://mlsanity.com/paper/2107.05173/) (2021)

## Abstract (arXiv)

Military drones are taking an increasingly prominent role in armed conflict, and the use of multiple drones in a swarm can be useful. Who the drivers of the research are and what sub-domains exist is analyzed and visually presented in this research using NLP techniques based on 946 studies. Most research is conducted in the Western world, led by the United States, the United Kingdom, and Germany. Through Tf-idf scoring, it is shown that countries have significant differences in the subdomains studied. Overall, 2019 and 2020 saw the most works published, with significant interest in military swarm drones as early as 2008. This study provides a first glimpse into research in this area and prompts further investigation.