Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
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
Artificial intelligence as relational artifacts in creative learning
Recommended citation: Lim, J., Leinonen, T., Lipponen, L., Lee, H., DeVita, J., & Murray, D. (2023). Artificial intelligence as relational artifacts in creative learning. Digital Creativity, 34(3), 192–210. https://doi.org/10.1080/14626268.2023.2236595 https://www.tandfonline.com/doi/full/10.1080/14626268.2023.2236595
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. (2023). 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.
The Data Science of Science
Recommended citation: The Data Science of Science. Univeristy at Albany, College of Emergency Preparedness, Homeland Security, and Cybersecurity
The (lack of) visibility of formal scientific criticism
Recommended citation: The (lack of) visibility of formal scientific criticism. Atlanta Conference on Science and Innovation Policy.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
Teaching experience 2
Workshop, University 1, Department, 2015