Dakota Murray

18 papers and 438 indexed citations i.

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 18 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics, Probability and Uncertainty, 5 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 Research Data Management Practices (2 papers). Dakota Murray is often cited by papers focused on scientometrics and bibliometrics research (11 papers), Complex Network Analysis Techniques (4 papers) and Research Data Management Practices (2 papers). Dakota Murray collaborates with scholars based in United States, Canada and The Netherlands. Dakota Murray's co-authors include Cassidy R. Sugimoto, Vincent Larivière, Rodrigo Costas, Nicolás Robinson‐García, Alfredo Yegros-Yegros, Yi Bu, Ying Ding, Zaida Chinchilla‐Rodríguez, Yong Huang and Yiming Zhao and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Dakota Murray i

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.

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).

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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