Posts by Collection
portfolio
publications
Scientists have most impact when they’re free to move
Recommended citation: Sugimoto, C. R., Robinson-Garcia, N., Murray, D. S., Yegros-Yegros, A., Costas, R., & Larivière, V. (2017). Nature, 550(7674), 29. https://doi.org/10.1038/550029a
Understanding persistent scientific collaboration
Recommended citation: Bu, Y., Ding, Y., Liang, X., & Murray, D. S. (2018). Journal of the Association for Information Science and Technology. 69(3), 438–448. https://doi.org/10.1002/asi.23966
Measuring the stability of scientific collaboration
Recommended citation: Bu, Y., Murray, D. S., Ding, Y., Huang, Y., & Zhao, Y. (2018). Scientometrics, 114(2), 463–479. https://doi.org/10.1007/s11192-017-2599-0
A Global Comparison of Scientific Mobility and Collaboration According to National Scientific Capacities
Recommended citation: Chinchilla-Rodríguez, Z., Miao, L., Murray, D., Robinson-García, N., Costas, R., & Sugimoto, C. R. (2018). Frontiers in Research Metrics and Analytics, 3. https://doi.org/10.3389/frma.2018.00017
Author-Reviewer Homophily in Peer Review
Recommended citation: Murray, D., Siler, K., Larivière, V., Chan, W. M., Collings, A. M., Raymond, J., & Sugimoto, C. R. (2019). BioRxiv, 400515. https://doi.org/10.1101/400515
The many faces of mobility: Using bibliometric data to measure the movement of scientists. Journal of Informetrics
Recommended citation: Robinson-Garcia, N., Sugimoto, C. R., Murray, D., Yegros-Yegros, A., Larivière, V., & Costas, R. (2019). 13(1), 50–63. /doi.org/10.1016/j.joi.2018.11.002
Exploring the personal and professional factors associated with student evaluations of tenure-track faculty
Recommended citation: Murray, D., Boothby, C., Zhao, H., Minik, V., Bérubé, N., Larivière, V., & Sugimoto, C. R. (2020). PLOS ONE, 15(6), e0233515. https://doi.org/10.1371/journal.pone.0233515
A breeding pool of ideas: Analyzing interdisciplinary collaborations at the Complex Systems Summer School
Recommended citation: Brown, J., Murray, D., Furlong, K., Coco, E., & Dablander, F. (2021). PLOS ONE, 16(2), e0246260. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0246260
Avoiding bias when inferring race using name-based approaches
Recommended citation: Kozlowski D, Murray DS, Bell A, Hulsey W, Larivière V, Monroe-White T, et al. (2022) Avoiding bias when inferring race using name-based approaches. PLoS ONE 17(3): e0264270. https://doi.org/10.1371/journal.pone.0264270
Credibility of scientific information on social media: Variation by platform, genre and presence of formal credibility cues
Recommended citation: Boothby, C., Murray, D., Waggy, A. P., Tsou, A., & Sugimoto, C. R. (2021). Quantitative Science Studies, 2(3), 845–863. https://elifesciences.org/articles/72737
Investigating disagreement in the scientific literature
Recommended citation: Lamers, W. S., Boyack, K., Larivière, V., Sugimoto, C. R., van Eck, N. J., Waltman, L., & Murray, D. (2021). ELife, 10, e72737. https://elifesciences.org/articles/72737
The latent structure of national scientific development
Recommended citation: Miao, L., Murray, D., Jung, W.-S., Larivière, V., Sugimoto, C. R., & Ahn, Y.-Y. (2022). The latent structure of global scientific development. In Nature Human Behaviour 6, 1206–1217. https://www.nature.com/articles/s41562-022-01367-x
Unsupervised embedding of trajectories captures the latent structure of scientific migration
Recommended citation: *Murray, D., *Yoon, J., *Kojaku, S., Costas, R., Jung, W.-S., Milojević, S., & Ahn, Y.-Y. (2020). Unsupervised embedding of trajectories captures the latent structure of scientific migration. PNAS 2023 https://www.pnas.org/doi/10.1073/pnas.2305414120
talks
Embedding co-affiliation trajectories captures structure of global scientific mobility [Poster]
Recommended citation: International Conference of Computational Social Science, July, 2020
Honoring our dead: text mining a century of academic obituaries in The Lancet [Poster]
Recommended citation: International Conference of Computational Social Science, July, 2020 https://hal.archives-ouvertes.fr/hal-02911615
The Scientific Development of Nations [Poster]
Recommended citation: International Conference of Computational Social Science, July, 2020
A scientometric analysis of disagreement in science
Recommended citation: Research Seminar, CWTS @ Leiden University, August, 2021 https://elifesciences.org/articles/72737
Scientific Success in Context
Recommended citation: Job Talk, CCNR @ Northeastern University, December, 2020
Scientific Evaluation in Context
Recommended citation: Invited talk, Northwestern University, January, 2021
Embedding Mobility
Recommended citation: Copenhagen Workshop on Large-Scale Embeddings, January, 2021 https://arxiv.org/abs/2012.02785
Final Dissertation Defense
Recommended citation: Indiana University Bloomington, September, 2021 https://www.proquest.com/openview/cefaab26feeac12caf6e99de6bd3d76c/1.pdf?pq-origsite=gscholar&cbl=18750&diss=y
Understanding Scientific Disagreement
Recommended citation: Research Observatory: Bibliometric experiment with the full text of research papers. ISKO UK. 2022 https://www.iskouk.org/event-4731827
Embedding scientific migrations
Recommended citation: Embedding Scientific Migrations. Growth Lab Research Seminar. Harvard Kennedy School. February, 2024 https://growthlab.hks.harvard.edu/event/unsupervised-embedding-trajectories-captures-latent-structure-scientific-migration
Towards a data-driven understanding of scientific disagreement
Recommended citation: Towards a data-driven understanding of scientific disagreement. (1) STP Seminar. KAIST. June 28, 2024; (2) Lecture at KDI School of Public Policy and Management. July 15th, 2024.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
Teaching experience 2
Workshop, University 1, Department, 2015