Advanced search
Publication Cover
Political Research Exchange
An ECPR Journal
Volume 2, 2020 - Issue 1
Submit an article Journal homepage
2,963
Views
4
CrossRef citations to date
0
Altmetric
Research Articles

Neoclassical realism and Italy’s military behaviour, 1946–2010: a combined dyad/nation analysis

Paolo RosaSchool of International Studies, University of Trento, Trento, ItalyCorrespondence[email protected]
,
Stefano BenatiSchool of International Studies, University of Trento, Trento, ItalyORCID Iconhttps://orcid.org/0000-0002-1928-5224
ORCID Icon,
Paolo ForadoriSchool of International Studies, University of Trento, Trento, Italy
&
Gian Marco LongoniSchool of International Studies, University of Trento, Trento, Italy
Article: 1770103 | Received 29 Mar 2019, Accepted 09 May 2020, Published online: 03 Jun 2020

Citations (4)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Valerio Vignoli & Fabrizio Coticchia. (2022) Italy’s Military Operations Abroad (1945–2020): Data, Patterns, and Trends. International Peacekeeping 29:3, pages 436-462.
Read now

Articles from other publishers (3)

Mustafa Cüneyt Özşahin, Federico Donelli & Riccardo Gasco. (2021) China–Turkey Relations from the Perspective of Neoclassical Realism. Contemporary Review of the Middle East 9:2, pages 218-239.
Crossref
Paolo Rosa & Adriana Cuppuleri. (2021) Dangerous dyads in the post-Soviet space: explaining Russia's military escalation decisions, 1992–2010. Italian Political Science Review/Rivista Italiana di Scienza Politica 51:3, pages 355-372.
Crossref
Hazal Muslu El Berni. (2020) The Perceptual Shock of Qatar Foreign Policy in 2017 Crisis: Systemic Factors, Regional Struggles Versus Domestic Variables. Contemporary Review of the Middle East 8:1, pages 96-119.
Crossref

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.