Die Wehrmacht im NS-Staat
German, Jürgen Förster, 2009More than 10 pieces in stock at supplier
Product details
The Wehrmacht has been extensively researched, yet its image remains controversial to this day. Jürgen Förster provides a concise account of this military organization based on profound knowledge of documents and literature. Beginning with the Reichswehr, he examines its structural development leading to the Wehrmacht as a pillar of the Third Reich. The influence of Nazi politics, the relationship with the SS, the personnel elite in the second half of the war, the July 20, 1944, as a structural turning point, and Hitler as a military leader are additional topics. Förster's study is essential reading for the historically interested public, students, and pupils.
Language | German |
Author | Jürgen Förster |
Year | 2009 |
Number of pages | 221 |
Book cover | Paperback |
Item number | 7277394 |
Publisher | De Gruyter |
Category | Non-fiction |
Release date | 13.1.2018 |
Language | German |
Author | Jürgen Förster |
Year | 2009 |
Number of pages | 221 |
Edition | 2 |
Book cover | Paperback |
CO₂ emissions | 0,94 kg |
Climate contribution | EUR 0,12 |
Product Safety |
30-day right of return if unopened
Compare products
Goes with
Reviews & Ratings
Statutory warranty score
How often does a product of this brand in the «Non-fiction» category have a defect within the first 24 months?
Source: Galaxus- De GruyterNot enough data
- 1.Albin Michel0 %
- 1.Beck C.H.0 %
- 1.Bergli Books0 %
- 1.Bloomsbury0 %
Statutory warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Galaxus- De GruyterNot enough data
- Abrams & ChronicleNot enough data
- Albin MichelNot enough data
- AnacondaNot enough data
- Beck C.H.Not enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Non-fiction» category returned?
Source: Galaxus- De GruyterNot enough data
- 1.Anaconda0 %
- 1.Bloomsbury0 %
- 1.Herder0 %
- 1.Klett-Cotta0 %