Artículos revisados por pares Rodrigo Costas
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Robinson-Garcia, N., Costas, R., Sugimoto, C.R., Larivière, V., Nane, T. (2020). Task specialization and its effects on research careers. eLife. 2020;9:e60586.
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Robinson-Garcia, N., Sugimoto, C.R., Murray, D., Yegros-Yegros, A., Larivière, V., Costas. R. (2018). The many faces of mobility: Using bibliometric data to track scientific exchanges. Journal of Informetrics, 13(1), 50-63.
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Robinson-Garcia, N., Sugimoto, C.R., Murray, D., Yegros-Yegros, A., Larivière, V., Costas, R. (2018). Scientific mobility indicators in practice: International mobility profiles at the country level. El profesional de la información, 27(3), 511-520.
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Desrochers, N., Paul-Hus, A., Haustein, S., Costas, R., Mongeon, P., Quan-Haase, A., Bowman, T.D., Pecoskie, J., Tsou, A., Larivière, V. (2018). Authorship, citations, acknowledgments and visibility in social media: Symbolic capital in the multifaceted reward system of science. Social Science Information, 57(2): 223–248.
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Robinson-Garcia, N., Mongeon, P., Jeng, W. & Costas, R. (2017). DataCite as a novel bibliometric source: Coverage, strengths and limitations. Journal of Informetrics, 11(3), 841-854.
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Mongeon, P., Robinson-Garcia, N., Jeng, W. & Costas, R. (2017). Incorporating data sharing to the reward system of science: Linking DataCite records to authors in the Web of Science. Aslib Journal of Information Management, 69(5), 545-556.
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Paul-Hus, A., Diaz-Faes, A.A., Sainte-Marie, M., Desrochers, N., Costas, R., Larivière, V. 2017. Beyond funding: Acknowledgement patterns in biomedical, natural and social sciences. PLoSONE 12(10): e0185578.
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Nane, G.F., Larivière, V., Costas, R. (2017). Predicting the age of researchers using bibliometric data. Journal of Informetrics 11 (3), 713-729
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Paul-Hus, A., Desrochers, N. & Costas, R. (2016). Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science. Scientometrics.
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Fanelli, D., Costas, R., Larivière, V. (2015).Misconduct policies, career stage and peer control, not gender or pressures to publish, predict flawed research. PLOS ONE, 10(6): e0127556.
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Haustein, S., Costas, R., Larivière, V. (2015).Characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns. PLOS ONE 10(3): e0120495.
