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Cited by 629

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Redeeming the Communist Past: The Regeneration of Communist Parties in East Central Europe

Grzymala-Busse, Anna M.·2002·Cambridge University Press eBooks

Abstract

This major study examines one of the most surprising developments in East Central European politics after the democratic transitions of 1989: the completely unexpected regeneration of the former communist parties. After the collapse of the communist regimes in 1989, these ruling communist parties seemed consigned to oblivion. However, confounding scholarly and popular expectations, all of these parties survived. Some have even returned to power. This in-depth, comparative study systematically analyzes the trajectories of four cases: the Czech Republic, Slovakia, Poland, and Hungary (with additional examination of other communist party successors). Relying on extensive, and unprecedented, primary research, this analysis employs a consistent analytical framework that combines the peculiarities of the post-socialist cases with broad theoretical concerns of institutional analysis, democratic transitions and consolidation, and party politics.

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Metadata

Authors
Grzymala-Busse, A. M.
Venue
Cambridge University Press eBooks
Published
2002-02-18
OpenAlex
W2291341743
Cited by
629
References
5
FWCI
38.25
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Redeeming the Communist Past: The Regeneration of Communist Parties in East Central Europe. https://app.cochat.ai/papers/10.1017/cbo9780511613388
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Grzymala-Busse, A. M. (2002). Redeeming the Communist Past: The Regeneration of Communist Parties in East Central Europe. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511613388

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.