How European scientists will spend €100 billion
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DOI: 10.1038/d41586-019-01566-z
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Cited by:
- Agnieszka Kleszcz & Krzysztof Rusek, 2022. "Has EU accession boosted patents performance in the EU-13? -- A critical evaluation using causal impact analysis with Bayesian structural time-series models," Papers 2201.09878, arXiv.org.
- Lili Miao & Vincent Larivi`ere & Feifei Wang & Yong-Yeol Ahn & Cassidy R. Sugimoto, 2023. "Cooperation and interdependence in global science funding," Papers 2308.08630, arXiv.org, revised Feb 2024.
- Agnieszka Kleszcz & Krzysztof Rusek, 2022. "Has EU Accession Boosted Patent Performance in the EU-13? A Critical Evaluation Using Causal Impact Analysis with Bayesian Structural Time-Series Models," Forecasting, MDPI, vol. 4(4), pages 1-16, October.
- Marco Liverani & Kayla Song & James W. Rudge, 2023. "Mapping emerging trends and South–South cooperation in regional knowledge networks: A bibliometric analysis of avian influenza research in Southeast Asia," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 1667-1683, October.
- Krzysztof Rusek & Agnieszka Kleszcz & Albert Cabellos-Aparicio, 2022. "Bayesian inference of spatial and temporal relations in AI patents for EU countries," Papers 2201.07168, arXiv.org.
- Tokmachev, Andrey M., 2023. "Regular collective dynamics of research collaboration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
- Krzysztof Rusek & Agnieszka Kleszcz & Albert Cabellos-Aparicio, 2023. "Bayesian inference of spatial and temporal relations in AI patents for EU countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3313-3335, June.
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