Cambridge Journal of Regions Economy and Society

Papers
(The H4-Index of Cambridge Journal of Regions Economy and Society is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
The politics of path reproduction under vulnerable climate conditions: the case of skiing infrastructure expansion in the Austrian Alps197
Strategies for circular economy in the Nordics: a comparative analysis of directionality81
Turning the tide: how public R&D investment shapes European regional development65
Learning from architectural theory about how cities work as complex and evolving spatial systems42
What do we owe a place? How the debate about left-behind places is challenging how we distribute public funding and the problems it should address40
Mustering the political will to help left-behind places in a polarized USA34
Masking the Strangulation of Opposition Parties as Pandemic Response: Austerity Measures Targeting the Local Level in Hungary30
The impact of innovation policy on the regional economies of Europe29
Embedding city revival into state-driven innovation system: unravelling the state–local entrepreneurial toolkits for innovation26
An agency perspective of regional economic resilience during COVID-19: the role of the local state’s place-based leadership in Kunshan, China25
Cities, innovation and entrepreneurial ecosystems: assessing the impact of the COVID-19 pandemic24
Localization of global networks: new mandates for MNEs in Toronto’s innovation economy23
First-mover alliance: mission-oriented innovation policy implementation in Shenzhen’s low-altitude economy22
Correction to: The power of platforms—precarity and place21
Platforming populism: the services transition, precarious urbanization, and digital platforms in the rise of illiberal populism in the Philippines21
Upward job mobility in local economies19
Deglobalization: three scenarios19
Urban-regional disparities in mental health signals in Australia during the COVID-19 pandemic: a study via Twitter data and machine learning models19
The manufactured crisis of COVID-Keynesianism in Britain, Germany and the USA18
0.043436050415039