Dakota S. Murray

According to our database, Dakota S. Murray authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Artificial intelligence as relational artifacts in creative learning.

Jeongki Lim, Teemu Leinonen, Lasse Lipponen, Henry Lee, Julienne DeVita, Dakota S. Murray

Digit. Creativity, July, 2023

2021

Credibility of scientific information on social media: Variation by platform, genre and presence of formal credibility cues.

Clara Boothby, Dakota S. Murray, Anna Polovick Waggy, Andrew Tsou, Cassidy R. Sugimoto

Quant. Sci. Stud., 2021

Avoiding bias when inferring race using name-based approaches.

Diego Kozlowski, Dakota S. Murray, Alexis Bell, Will Hulsey, Vincent Larivière, Thema Monroe-White, Cassidy R. Sugimoto

CoRR, 2021

The latent structure of national scientific development.

Lili Miao, Dakota S. Murray, Woo-Sung Jung, Vincent Larivière, Cassidy R. Sugimoto, Yong-Yeol Ahn

CoRR, 2021

2020

Unsupervised embedding of trajectories captures the latent structure of mobility.

Dakota S. Murray, Jisung Yoon, Sadamori Kojaku, Rodrigo Costas, Woo-Sung Jung, Stasa Milojevic, Yong-Yeol Ahn

CoRR, 2020

2019

The many faces of mobility: Using bibliometric data to measure the movement of scientists.

Nicolás Robinson-García, Cassidy R. Sugimoto, Dakota S. Murray, Alfredo Yegros-Yegros, Vincent Larivière, Rodrigo Costas

J. Informetrics, 2019

Context matters: how the usage and semantics of hedging terms differs between sections of scientific papers.

Dakota S. Murray, Vincent Larivière, Cassidy R. Sugimoto

Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

Measuring disagreement in science.

Dakota S. Murray, Wout Lamers, Kevin W. Boyack, Vincent Larivière, Cassidy R. Sugimoto, Nees Jan van Eck, Ludo Waltman

Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

2018

Measuring the stability of scientific collaboration.

Yi Bu, Dakota S. Murray, Ying Ding, Yong Huang, Yiming Zhao

Scientometrics, 2018

Understanding persistent scientific collaboration.

Yi Bu, Ying Ding, Xingkun Liang, Dakota S. Murray

J. Assoc. Inf. Sci. Technol., 2018

A Global Comparison of Scientific Mobility and Collaboration According to National Scientific Capacities.

Zaida Chinchilla-Rodríguez, Lili Miao, Dakota S. Murray, Nicolás Robinson-García, Rodrigo Costas, Cassidy R. Sugimoto

Frontiers Res. Metrics Anal., 2018

Scientific mobility indicators in practice: International mobility profiles at the country level.

Nicolás Robinson-García, Cassidy R. Sugimoto, Dakota S. Murray, Alfredo Yegros-Yegros, Vincent Larivière, Rodrigo Costas

CoRR, 2018

The many faces of mobility: Using bibliometric data to track scientific exchanges.

Nicolás Robinson-García, Cassidy R. Sugimoto, Dakota S. Murray, Alfredo Yegros-Yegros, Vincent Larivière, Rodrigo Costas

CoRR, 2018

Analyzing scientific collaboration with "giants" based on the milestones of career.

Yi Bu, Dakota S. Murray, Jian Xu, Ying Ding, Peng Ai, Jinhua Shen, Fan Yang

Proceedings of the Building & Sustaining an Ethical Future with Emerging Technology, 2018

2017

How Celebrities Feed Tweeples with Personal and Promotional Tweets: Celebrity Twitter Use and Audience Engagement.

Sanchari Das, Javon Goard, Dakota S. Murray

Proceedings of the 8th International Conference on Social Media & Society, 2017

Are Great Researchers Terrible Teachers? How research and teaching performance relate at U.S. universities.

Dakota S. Murray, Huimeng Zhao, Vanessa Minik, Nicolas Bérubé, Vincent Larivière, Cassidy R. Sugimoto

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017

Networks of international collaboration and mobility: a comparative study.

Zaida Chinchilla-Rodríguez, Lili Miao, Dakota S. Murray, Nicolás Robinson-García, Rodrigo Costas, Cassidy R. Sugimoto

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017