Publications 2021
Monographies
Articles
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Chen, S., Song, Y., Qiu, J. et Larivière, V. (2021). The effect of interdisciplinary components' citation intensity on scientific impact. Library Hi Tech, 39(4), 1084-1096.
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Shu, F., Qiu, J. et Lariviere, V. (2021). Mapping the biomedical sciences using Medical Subject Headings: a comparison between MeSH co-assignments and MeSH citation pairs. J Med Libr Assoc, 109(3), 441-449.
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Ghiasi, G., Beaudry, C., Larivière, V., St-Pierre, C., Schiffauerova, A. et Harsh, M. (2021). Who profits from the Canadian nanotechnology reward system? Implications for gender-responsible innovation. Scientometrics, 126(9), 7937-7991.
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Golosovsky, M. et Larivière, V. (2021). Uncited papers are not useless. Quantitative Science Studies, 2(3), 899-911.
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Khelfaoui, M. et Gingras, Y. (2021). Expanding Nature: Product Line and Brand Extensions of a Scientific Journal. Learned Publishing
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Scaffidi, M. A., Elsolh, K., Li, J., Verma, Y., Bansal, R., Gimpaya, N., Lariviere, V., Khan, R. et Grover, S. C. (2021). Do authors of research funded by the Canadian Institutes of Health Research comply with its open access mandate?: A meta-epidemiologic study. PLoS One, 16(8), e0256577.
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Vincent-Lamarre, P. et Larivière, V. (2021). Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcome. Quantitative Science Studies, 2(2), 662-677.
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Chen, S., Qiu, J., Arsenault, C. et Larivière, V. (2021). Exploring the interdisciplinarity patterns of highly cited papers. Journal of Informetrics, 15(1).
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Ni, C., Smith, E., Yuan, H., Lariviere, V. et Sugimoto, C. R. (2021). The gendered nature of authorship. Sciences Advances, 7(36).
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Shu, F., Sugimoto, C.R., Larivière, V. (2021). The Institutionalized Stratification of the Chinese Higher Education System .À paraître dans Quantitative Science Studies, 2 (1), 327–334.
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Larivière, V. Pontille, D., Sugimoto, C.R. (2021). Investigating the Division of Scientific Labor Using the Contributor Roles Taxonomy (CRediT). Quantitative Science Studies, 2 (1), 111–128.
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Gingras, Y. et M. Khelfaoui. (2021). L’effet SIGAPS: La recherche médicale française sous l’emprise de l’évaluation comptable. Zilsel: Science, technique, société (8), 145-174
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Chen, L., Ding, J. et Larivière, V. (2021). Measuring the citation context of national self‐references. Journal of the Association for Information Science and Technology, 73(5), 671-686.
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Khelfaoui, M., Gingras, Y., Lemoine, M. et T. Pradeu. (2021). The Visibility of Philosophy of Science in the Sciences, 1980-2018. Synthese
Chapitres et actes
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Gingras, Y. (2021). L’évaluation est-elle une science ? Le regard d'Yves Gingras. Dans A. D.-S. Thomas Delahais, Anne Revillard et Valéry Ridde (dir.), Évaluation. Fondements, controverses, perspectives. Québec : Éditions science et bien commun.
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Pineau, J., Vincent-Lamarre, P., Sinha, K., Larivière, V., Beygelzimer, A., d'Alché-Buc, F., Fox, E., Larochelle, H. (2021). Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program), Journal of Machine Learning Research, 22.
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Alexander, J.M., Sugimoto, C.R., Larivière, V. (2021). Scholarly publishing at US federally funded research & development laboratories: influences on public-private science. Dans Proceedings of the 18th International Conference on Scientometrics & Informetrics, p. 41-46, On line.
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Basson, I., Simard, M.A., Aubierge Ouangré, Z., Sugimoto, C.R., Larivière, V. (2021). Data sources and their effects on the measurement of open access. Comparing Dimensions with the Web of Science. Dans Proceedings of the 18th International Conference on Scientometrics & Informetrics, p. 93-98, On line.
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Boothby, C., Milojević, S., Larivière, V., Walsh, J., Radicchi, F., Sugimoto, C.R. (2021). Stability through Constant Turnover: The Replacement Rate of the Scientific Workforce. Dans Proceedings of the 18th International Conference on Scientometrics & Informetrics, p. 181-186, On line
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Ghiasi, G., Harsh, M., Tajmel, T., Larivière, V. (2021). Where international development and gender equality meet in science: a bibliometric analysis. Dans Proceedings of the 18th International Conference on Scientometrics & Informetrics, p. 447-452, On line
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Kozlowski, D., Murray, D.S., Bell, A., Hulsey, W., Larivière, V., Monroe-White, T., Sugimoto, C.R. (2021). Avoiding bias when inferring race using name-based approaches. Dans Proceedings of the 18th International Conference on Scientometrics & Informetrics, p. 597-608, On line
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Simard, M.A., Ghiasi, G., Mongeon, P., Larivière, V. (2021). Geographic Differences in the Uptake of Open Access. Dans Proceedings of the 18th International Conference on Scientometrics & Informetrics, p. 1033-1038, On line
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Lacroix, M., Larivière, V. (2021). Parité de genre et genre de parité dans les revues québécoises. Dans Guay, É, Nadon, R. (dir.), Relire les revues québécoises : histoire, formes et pratiques, Presses de l’Université de Montréal, coll. « Nouvelles études québécoises », p. 305-317.
Chroniques
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Larivière, V. et Riddles, A. (2021, 17 novembre). Langues de diffusion des connaissances : quelle place reste-t-il pour le français? Magazine de l'Acfas, chronique Les mesures de la recherche
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Larivière, V. (2021). Éditorial : le contrôle corporatif nuit à la diffusion des connaissances en sciences de l’éducation. Revue des sciences de l’éducation, 46(3), 1-6.
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Siler, K., Vincent-Lamarre, P., Sugimoto, C. R. et Lariviere, V. (2021, Oct). Predatory publishers' latest scam: bootlegged and rebranded papers. Nature, 598(7882), 563-565.
Rapports
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Commission scientifique et technique indépendante sur la reconnaissance de la liberté académique dans le milieu universitaire (2021). Reconnaître, protéger et promouvoir la liberté universitaire. Québec : Gouvernement du Québec.
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St-Onge, S., Forgues, É., Larivière, V., Riddles, A., Volkanova, V. (2021). Portrait et défis de la recherche en français en contexte minoritaire au Canada. Montréal: Acfas.
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Khelfaoui, M. et Gingras, Y. (2020). Branding Scholarly Journals: Transmuting Symbolic Capital into Economic Capital. Montréal : Centre interuniversitaire de recherche sur la science et la technologie.
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Colleret M. et Gingras Y. (2020). Artificial Intelligence in Quebec: A Tightly Knit Network. Montréal: Centre interuniversitaire de recherche sur la science et la technologie.
