Science policy and democracy
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DOI: 10.1016/j.techsoc.2021.101783
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References listed on IDEAS
- Briggle, Adam & Mitcham, Carl, 2009. "Embedding and networking: conceptualizing experience in a technosociety," Technology in Society, Elsevier, vol. 31(4), pages 374-383.
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Cited by:
- Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
- Xinhua Chai & Qiang Wu, 2025. "What kind of research network configurations lead to high academic productivity for young management scholars?—A fuzzy-set qualitative comparative analysis (fsQCA)," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(5), pages 2705-2748, May.
- Malte Hückstädt, 2023. "Ten reasons why research collaborations succeed—a random forest approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1923-1950, March.
- Deng Cheng & Zhang Xue & Yang Zhibo & Zhang Mingze, 2025. "Impact of interdisciplinarity on disruptive innovation: the moderating role of collaboration pattern and collaboration size," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(4), pages 2379-2401, April.
- Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2022. "Using the Leiden Rankings as a Heuristics: Evidence from Italian universities in the European landscape," LEM Papers Series 2022/08, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Bornmann, Lutz & Haunschild, Robin, 2024. "The Prize Winner Index (PWI): A proposal for an indicator based on scientific prizes," Journal of Informetrics, Elsevier, vol. 18(4).
- Martin Mende & David Glen Mick, 2024. "A commentary on transformative consumer research: Musings on its genesis, evolution, and opportunity for scientific specialization," AMS Review, Springer;Academy of Marketing Science, vol. 14(3), pages 182-193, December.
- Michael Färber & Melissa Coutinho & Shuzhou Yuan, 2023. "Biases in scholarly recommender systems: impact, prevalence, and mitigation," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2703-2736, May.
- Liang, Zhentao & Ba, Zhichao & Mao, Jin & Li, Gang, 2023. "Research complexity increases with scientists’ academic age: Evidence from library and information science," Journal of Informetrics, Elsevier, vol. 17(1).
- Pedro Pessoa & Steve Pressé, 2023. "How many submissions are needed to discover friendly suggested reviewers?," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-17, April.
- Marton Gellen, 2021. "Development Through Intervention? Revisiting Criticism Of Hungarian Democracy," Public administration issues, Higher School of Economics, issue 6, pages 84-102.
- Lutz Bornmann, 2024. "Skewed distributions of scientists’ productivity: a research program for the empirical analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(4), pages 2455-2468, April.
- Liyin Zhang & Yuchen Qian & Chao Ma & Jiang Li, 2023. "Continued collaboration shortens the transition period of scientists who move to another institution," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1765-1784, March.
- Ingemar Elander, 2022. "Urban Renewal, Governance and Sustainable Development: More of the Same or New Paths?," Sustainability, MDPI, vol. 14(3), pages 1-7, January.
- Martin Baily & David Byrne & Aidan Kane & Paul Soto, 2025. "Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope?," Papers 2505.14588, arXiv.org, revised Jun 2025.
- Stefan Wallaschek & Kavyanjali Kaushik & Monika Verbalyte & Aleksandra Sojka & Giuliana Sorci & Hans-Jörg Trenz & Monika Eigmüller, 2022. "Same Same but Different? Gender Politics and (Trans-)National Value Contestation in Europe on Twitter," Politics and Governance, Cogitatio Press, vol. 10(1), pages 146-160.
- Cinzia Daraio & Simone Di Leo & Loet Leydesdorff, 2023. "A heuristic approach based on Leiden rankings to identify outliers: evidence from Italian universities in the European landscape," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 483-510, January.
- Baicun Li & Aruhan Bai, 2025. "The influence of grant renewal on research content: evidence from NIH-funded PIs," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(5), pages 2617-2638, May.
- Zhou, Yuhao & Gong, Faming & Wang, Yanwei & Wang, Ruijie & Zeng, An, 2025. "Fusing structural and temporal information in citation networks for identifying milestone works," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).
- Garbe, Lisa & Selvik, Lisa-Marie & Lemaire, Pauline, 2021. "How African countries respond to fake news and hate speech," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Latest Ar, pages 1-1.
- Manuel Goyanes & Márton Demeter & Aurea Grané & Tamás Tóth & Homero Gil Zúñiga, 2023. "Research patterns in communication (2009–2019): testing female representation and productivity differences, within the most cited authors and the field," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 137-156, January.
- Alex J. Yang & Hongcun Gong & Yuhao Wang & Chao Zhang & Sanhong Deng, 2024. "Rescaling the disruption index reveals the universality of disruption distributions in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(1), pages 561-580, January.
- Jiang, Zhuoren & Lin, Tianqianjin & Huang, Cui, 2023. "Deep representation learning of scientific paper reveals its potential scholarly impact," Journal of Informetrics, Elsevier, vol. 17(1).
- Rainer Frietsch & Sonia Gruber & Lutz Bornmann, 2025. "The definition of highly cited researchers: the effect of different approaches on the empirical outcome," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 881-907, February.
- Weihua Li & Sam Zhang & Zhiming Zheng & Skyler J. Cranmer & Aaron Clauset, 2022. "Untangling the network effects of productivity and prominence among scientists," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
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Keywords
Science policy; Democracy; Science education; Science communication;All these keywords.
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