A network analysis of research productivity by country, discipline, and wealth
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DOI: 10.1371/journal.pone.0232458
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Cited by:
- Camil Demetrescu & Irene Finocchi & Andrea Ribichini & Marco Schaerf, 2022. "On computer science research and its temporal evolution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4913-4938, August.
- Qun Zhao & Leifu Zhang & Zhongguo Liu & Hongyan Wang & Jie Yao & Xiaowei Zhang & Rongze Yu & Tianqi Zhou & Lixia Kang, 2022. "A Big Data Method Based on Random BP Neural Network and Its Application for Analyzing Influencing Factors on Productivity of Shale Gas Wells," Energies, MDPI, vol. 15(7), pages 1-13, March.
- Apichai Wattanapisit & Manas Kotepui & Sanhapan Wattanapisit & Noah Crampton, 2022. "Bibliometric Analysis of Literature on Physical Activity and COVID-19," IJERPH, MDPI, vol. 19(12), pages 1-9, June.
- Dr. Mary A. Mosha, 2022. "Challenges Faced by Academicians in Research and Publications in Higher Learning Institutions: A Case Study of Kampala International University in Tanzania," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(7), pages 801-807, July.
- Tânia Pinto & Aurora Teixeira, 2023. "Does scientific research output matter for Portugal’s economic growth?," GEE Papers 0174, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2023.
- Francisco Galuppo Azevedo & Fabricio Murai, 2021. "Evaluating the state-of-the-art in mapping research spaces: A Brazilian case study," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-27, March.
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