Dakota Murray

1.1k total citations
19 papers, 536 citations indexed

About

Dakota Murray is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Dakota Murray has authored 19 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 6 papers in Sociology and Political Science and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Dakota Murray's work include scientometrics and bibliometrics research (11 papers), Complex Network Analysis Techniques (4 papers) and Misinformation and Its Impacts (2 papers). Dakota Murray is often cited by papers focused on scientometrics and bibliometrics research (11 papers), Complex Network Analysis Techniques (4 papers) and Misinformation and Its Impacts (2 papers). Dakota Murray collaborates with scholars based in United States, Canada and Netherlands. Dakota Murray's co-authors include Cassidy R. Sugimoto, Vincent Larivière, Rodrigo Costas, Nicolás Robinson‐García, Alfredo Yegros, Ying Ding, Yi Bu, Zaida Chinchilla‐Rodríguez, Yong‐Yeol Ahn and Yong Huang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Dakota Murray

19 papers receiving 517 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dakota Murray United States 13 216 129 81 64 55 19 536
Matthew L. Wallace Canada 11 226 1.0× 120 0.9× 65 0.8× 82 1.3× 20 0.4× 23 701
Travis A. Whetsell United States 10 182 0.8× 107 0.8× 46 0.6× 67 1.0× 77 1.4× 26 495
Ali Gazni Iran 13 393 1.8× 65 0.5× 117 1.4× 88 1.4× 41 0.7× 21 705
Ivan Chompalov United States 8 187 0.9× 116 0.9× 62 0.8× 57 0.9× 51 0.9× 11 571
Étienne Vignola‐Gagné Canada 10 457 2.1× 121 0.9× 128 1.6× 80 1.3× 76 1.4× 14 896
Franz Barjak Switzerland 11 186 0.9× 76 0.6× 154 1.9× 77 1.2× 65 1.2× 31 481
Sven E. Hug Switzerland 12 387 1.8× 51 0.4× 115 1.4× 35 0.5× 41 0.7× 23 588
Göran Melin Sweden 8 306 1.4× 105 0.8× 64 0.8× 95 1.5× 94 1.7× 17 626
Urs Schoepflin Germany 8 306 1.4× 126 1.0× 128 1.6× 41 0.6× 60 1.1× 13 669
Aparna Basu India 14 147 0.7× 107 0.8× 55 0.7× 59 0.9× 71 1.3× 41 522

Countries citing papers authored by Dakota Murray

Since Specialization
Citations

This map shows the geographic impact of Dakota Murray's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dakota Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dakota Murray more than expected).

Fields of papers citing papers by Dakota Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dakota Murray. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dakota Murray. The network helps show where Dakota Murray may publish in the future.

Co-authorship network of co-authors of Dakota Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Dakota Murray. A scholar is included among the top collaborators of Dakota Murray based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dakota Murray. Dakota Murray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Murray, Dakota, et al.. (2025). Tenure and research trajectories. Proceedings of the National Academy of Sciences. 122(30). e2500322122–e2500322122. 1 indexed citations
2.
Leinonen, Teemu, et al.. (2023). Artificial intelligence as relational artifacts in creative learning. Digital Creativity. 34(3). 192–210. 18 indexed citations
3.
Murray, Dakota, et al.. (2023). Unsupervised embedding of trajectories captures the latent structure of scientific migration. Proceedings of the National Academy of Sciences. 120(52). e2305414120–e2305414120. 10 indexed citations
4.
Kozlowski, Diego, Dakota Murray, Alexis T. Bell, et al.. (2022). Avoiding bias when inferring race using name-based approaches. PLoS ONE. 17(3). e0264270–e0264270. 22 indexed citations
5.
Murray, Dakota, et al.. (2022). The latent structure of global scientific development. Nature Human Behaviour. 6(9). 1206–1217. 32 indexed citations
6.
Murray, Dakota, et al.. (2021). Credibility of scientific information on social media: Variation by platform, genre and presence of formal credibility cues. Quantitative Science Studies. 2(3). 845–863. 12 indexed citations
7.
Lamers, Wout, Kevin W. Boyack, Vincent Larivière, et al.. (2021). Meta-Research: investigating disagreement in the scientific literature. SHILAP Revista de lepidopterología. 22 indexed citations
8.
Murray, Dakota, et al.. (2021). A breeding pool of ideas: Analyzing interdisciplinary collaborations at the Complex Systems Summer School. PLoS ONE. 16(2). e0246260–e0246260. 2 indexed citations
9.
Murray, Dakota, et al.. (2020). Exploring the personal and professional factors associated with student evaluations of tenure-track faculty. PLoS ONE. 15(6). e0233515–e0233515. 42 indexed citations
10.
Robinson‐García, Nicolás, Cassidy R. Sugimoto, Dakota Murray, et al.. (2018). The many faces of mobility: Using bibliometric data to measure the movement of scientists. Journal of Informetrics. 13(1). 50–63. 66 indexed citations
11.
Chinchilla‐Rodríguez, Zaida, et al.. (2018). A Global Comparison of Scientific Mobility and Collaboration According to National Scientific Capacities. SHILAP Revista de lepidopterología. 3. 53 indexed citations
12.
Bu, Yi, et al.. (2018). Analyzing scientific collaboration with “giants” based on the milestones of career. Proceedings of the Association for Information Science and Technology. 55(1). 29–38. 13 indexed citations
13.
Robinson‐García, Nicolás, Cassidy R. Sugimoto, Dakota Murray, et al.. (2018). Scientific mobility indicators in practice: International mobility profiles at the country level. El Profesional de la Informacion. 27(3). 511–511. 12 indexed citations
14.
Murray, Dakota, et al.. (2017). Are Great Researchers Terrible Teachers? How research and teaching performance relate at U.S. universities.. ISSI. 1281–1287. 1 indexed citations
15.
Chinchilla‐Rodríguez, Zaida, et al.. (2017). Networks of international collaboration and mobility: a comparative study. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 270–280. 7 indexed citations
16.
Sugimoto, Cassidy R., Nicolás Robinson‐García, Dakota Murray, et al.. (2017). Scientists have most impact when they're free to move. Nature. 550(7674). 29–31. 134 indexed citations
17.
Das, Sanchari, et al.. (2017). How Celebrities Feed Tweeples with Personal and Promotional Tweets. 1–5. 8 indexed citations
18.
Bu, Yi, et al.. (2017). Understanding persistent scientific collaboration. Journal of the Association for Information Science and Technology. 69(3). 438–448. 48 indexed citations
19.
Bu, Yi, Dakota Murray, Ying Ding, Yong Huang, & Yiming Zhao. (2017). Measuring the stability of scientific collaboration. Scientometrics. 114(2). 463–479. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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