activity
20182026
most citedThe many faces of mobility: Using bibliometric data to measure the movement of scientists

127 citations · 253 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DL2026

The software space of science

Zhouming Wu, Dakota Murray

Science advances not only through the accumulation of facts but also through the evolution of tools. Crucially, tools are rarely used in isolation. They form tool portfolios, combi…

cs.DL2021

Investigating Disagreement in the Scientific Literature

Wout S. Lamers, Kevin Boyack, Vincent Larivière +4

Disagreement is essential to scientific progress. However, the extent of disagreement in science, its evolution over time, and the fields in which it happens, remains poorly unders…

cs.CY2021★ 55 cited

Avoiding bias when inferring race using name-based approaches

Diego Kozlowski, Dakota S. Murray, Alexis Bell +4

Racial disparity in academia is a widely acknowledged problem. The quantitative understanding of racial based systemic inequalities is an important step towards a more equitable re…

cs.SI2021★ 54 cited

The latent structure of global scientific development

Lili Miao, Dakota Murray, Woo-Sung Jung +3

Science is essential to innovation and economic prosperity. Although studies have shown that national scientific development is affected by geographic, historic, and economic facto…

cs.DL2018★ 17 cited

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

Nicolas Robinson-Garcia, Cassidy R. Sugimoto, Dakota Murray +3

This paper presents and describes the methodological opportunities offered by bibliometric data to produce indicators of scientific mobility. Large bibliographic datasets of disamb…

cs.DL2018★ 127 cited

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

Nicolas Robinson-Garcia, Cassidy R. Sugimoto, Dakota Murray +3

This paper presents a methodological framework for developing scientific mobility indicators based on bibliometric data. We identify nearly 16 million individual authors from publi…