Work

Identifying geographic clusters: A network analytic approach

Year: 2015

Type: article

Source: Research Policy

DOI: 10.1016/j.respol.2015.01.011

Authors: Roberto Catini, Dmytro Karamshuk, Orion Penner, Massimo Riccaboni

Institutions: IMT School for Advanced Studies Lucca, King's College London, KU Leuven

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: Social Sciences and Humanities Research Council of Canada

OpenAlex ID: W1511090589

FWCI: 3.34

Cites: 45

Cited by: 44

Related to: 10