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Dakota Murray

Biographic Data

ID3863962
NAMEDakota Murray
GIVEN NAMESDakota
FAMILY NAMEMurray
SIGNATUREMURRAY D
AFFILIATIONSIndiana University Bloomington
ORCID0000-0002-7119-0169
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS3
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Using language models to label clusters of scientific documents

    Open Access•Dakota Murray, Chaoqun Ni et al.•ARTICLE•Scientometrics•2026

  • The latent structure of global scientific development

    Open Access•Lili Miao, Dakota Murray et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 2•References: 52

  • Credibility of scientific information on social media

    Open Access•Clara Boothby, Dakota Murray et al.•ARTICLE•Quantitative Science Studies•2021

    Responding to calls to take a more active role in communicating their research findings, scientists are increasingly using open online platforms, such as Twitter, to engage in science communication or to publicize their work. Given the ease with which misinformation spreads on these platforms, it is important for scientists to present their findings in a manner that appears credible. To examine the extent to which the online presentation of scien…

  • Scientific mobility indicators in practice

    Open Access•Nicolás Robinson‐García, Cassidy R Sugimoto et al.•ARTICLE•El Profesional de la Informacion•2018•Cited by: 1•References: 2

    This paper presents and describes the methodological opportunities offered by bibliometric data to produce indicators of scientific mobility. Large bibliographic datasets of disambiguated authors and their affiliations allow for the possibility of tracking the affiliation changes of scientists. Using the Web of Science as data source, we analyze the distribution of types of mobile scientists for a selection of countries. We explore the possibilit…

  • The latent structure of global scientific development

    Open Access•Lili Miao, Dakota Murray et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 2•References: 52

  • Scientific mobility indicators in practice

    Open Access•Nicolás Robinson‐García, Cassidy R Sugimoto et al.•ARTICLE•El Profesional de la Informacion•2018•Cited by: 1•References: 2

    This paper presents and describes the methodological opportunities offered by bibliometric data to produce indicators of scientific mobility. Large bibliographic datasets of disambiguated authors and their affiliations allow for the possibility of tracking the affiliation changes of scientists. Using the Web of Science as data source, we analyze the distribution of types of mobile scientists for a selection of countries. We explore the possibilit…

  • Scientific mobility indicators in practice

    Open Access•Nicolás Robinson‐García, Cassidy R Sugimoto et al.•ARTICLE•El Profesional de la Informacion•2018•Cited by: 1•References: 2

    This paper presents and describes the methodological opportunities offered by bibliometric data to produce indicators of scientific mobility. Large bibliographic datasets of disambiguated authors and their affiliations allow for the possibility of tracking the affiliation changes of scientists. Using the Web of Science as data source, we analyze the distribution of types of mobile scientists for a selection of countries. We explore the possibilit…

  • Credibility of scientific information on social media

    Open Access•Clara Boothby, Dakota Murray et al.•ARTICLE•Quantitative Science Studies•2021

    Responding to calls to take a more active role in communicating their research findings, scientists are increasingly using open online platforms, such as Twitter, to engage in science communication or to publicize their work. Given the ease with which misinformation spreads on these platforms, it is important for scientists to present their findings in a manner that appears credible. To examine the extent to which the online presentation of scien…

  • The latent structure of global scientific development

    Open Access•Lili Miao, Dakota Murray et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 2•References: 52

  • Using language models to label clusters of scientific documents

    Open Access•Dakota Murray, Chaoqun Ni et al.•ARTICLE•Scientometrics•2026

Computer Science (2 works) · Data science (2 works) · Geography (2 works) · Political science (2 works) · Regional science (2 works) · scientometrics and bibliometrics research (2 works) · Artificial Intelligence in Healthcare and Education (1 works) · Climate Change Communication and Perception (1 works) · Complex Network Analysis Techniques (1 works) · Computer security (1 works)

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