Skip to main navigation Skip to search Skip to main content

Main topics in EIST during its first decade: A computational-linguistic analysis

Research output: Contribution to Journal › Review article › Academic › peer-review

Abstract

We analyse 465 articles published in EIST from June 2011 until June 2021 to identify topics addressed in the journal. We find eight main topics and assess how their shares changed over time as well as how many citations they received. The topics with the largest shares in all publications are “Theory of socio-technical transitions” and “Urban regimes and niches”. The two most cited topics, “Theory of socio-technical transitions” and “Geography and diffusion of eco-innovations”, showed a rising share over time, while the share of topic “Finance, investment and growth” declined. We further assess the geographical coverage of topics, through affiliations of the corresponding authors. The resulting map indicates dominant topics for the 34 countries that contributed to publications in EIST.
Original languageEnglish
Pages (from-to)10-17
Number of pages8
JournalEnvironmental Innovation and Societal Transitions
Volume41
Early online date31 Jul 2021
DOIs
Publication statusPublished - Dec 2021

Funding

This research was supported by European Research Council (ERC) Grant 741087 in EU-Horizon2020. I.S. acknowledges financial support from the Russian Science Foundation [RSF grant number 19–18–00262]. We would like to thank Sharmila Vadivelan and Sandra Broerse from Elsevier for the help in collecting the data.

FundersFunder number
EU-Horizon2020
European Research Council741087
Russian Science Foundation19–18–00262

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure
    2. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    Fingerprint

    Dive into the research topics of 'Main topics in EIST during its first decade: A computational-linguistic analysis'. Together they form a unique fingerprint.

    Cite this