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Advanced text-mining for trend analysis of Russia’s Extractive Industries

Bibliographic Data

ID9844368
AuthorsЛеонид Гохберг (0000-0003-3544-7219, National Research University Higher School of Economics), Leonid Gokhberg, Ilya Kuzminov (0000-0002-7321-3934, National Research University Higher School of Economics), Elena Khabirova (National Research University Higher School of Economics), Thomas Thurner (0000-0003-2947-6021, National Research University Higher School of Economics, corresponding author)
Year2020
Volume115
Pages102476
Publication date2020-01-01
Open AccessYes
TypeARTICLE
VenueFutures (JOURNAL)
Journal identifiersISSN: 0016-3287 • E-ISSN: 1873-6378
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.futures.2019.102476
OpenAlexW2980770822
LanguageEN
Citations received4
References cited66

Business · Futures studies · Geography · Industrial organization · Investment (military · Political science · Regional science · Artificial Intelligence · Computer Science · Global Energy and Sustainability Research · Global Energy Security and Policy · Natural Resources and Economic Development

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Citations per year0.67
Citation span2020 - 2025 (6)
Highly citedNo

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae