Networks of international collaboration and mobility: a comparative study. - Zaida Chinchilla-Rodríguez; Lili Miao; Dakota S. Murray; Nicolás Robinson-García; Rodrigo Costas 001; Cassidy R. Sugimoto (ISSI, 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 (ISSI, 2017)

How Celebrities Feed Tweeples with Personal and Promotional Tweets: Celebrity Twitter Use and Audience Engagement. - Sanchari Das; Javon Goard; Dakota S. Murray (SMSociety, 2017)

Analyzing scientific collaboration with "giants" based on the milestones of career. - Yi Bu 001; Dakota S. Murray; Jian Xu 003; Ying Ding 001; Peng Ai; Jinhua Shen; Fan Yang (ASIST, 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 001 (CoRR, 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 001 (CoRR, 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 001; Cassidy R. Sugimoto (Frontiers Res. Metrics Anal., 2018)

Understanding persistent scientific collaboration. - Yi Bu 001; Ying Ding 001; Xingkun Liang; Dakota S. Murray (J. Assoc. Inf. Sci. Technol., 2018)

Measuring the stability of scientific collaboration. - Yi Bu 001; Dakota S. Murray; Ying Ding 001; Yong Huang 008; Yiming Zhao (Scientometrics, 2018)

Measuring disagreement in science. - Dakota S. Murray; Wout Lamers; Kevin W. Boyack; Vincent Larivière; Cassidy R. Sugimoto; Nees Jan van Eck; Ludo Waltman (ISSI, 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 (ISSI, 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 001 (J. Informetrics, 2019)

Unsupervised embedding of trajectories captures the latent structure of mobility. - Dakota S. Murray; Jisung Yoon; Sadamori Kojaku; Rodrigo Costas 001; Woo-Sung Jung; Stasa Milojevic; Yong-Yeol Ahn (CoRR, 2020)

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)

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)

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)

Artificial intelligence as relational artifacts in creative learning. - Jeongki Lim; Teemu Leinonen; Lasse Lipponen; Henry Lee; Julienne DeVita; Dakota S. Murray (Digit. Creativity, 2023)