Data, measurement and empirical methods in the science of science

L Liu, BF Jones, B Uzzi, D Wang - Nature human behaviour, 2023 - nature.com
The advent of large-scale datasets that trace the workings of science has encouraged
researchers from many different disciplinary backgrounds to turn scientific methods into …

Science of science

S Fortunato, CT Bergstrom, K Börner, JA Evans… - Science, 2018 - science.org
BACKGROUND The increasing availability of digital data on scholarly inputs and outputs—
from research funding, productivity, and collaboration to paper citations and scientist mobility …

The preeminence of ethnic diversity in scientific collaboration

BK AlShebli, T Rahwan, WL Woon - Nature communications, 2018 - nature.com
Inspired by the social and economic benefits of diversity, we analyze over 9 million papers
and 6 million scientists to study the relationship between research impact and five classes of …

Quantifying the evolution of individual scientific impact

R Sinatra, D Wang, P Deville, C Song, AL Barabási - Science, 2016 - science.org
INTRODUCTION In most areas of human performance, from sport to engineering, the path to
a major accomplishment requires a steep learning curve and long practice. Science is not …

SciSciNet: A large-scale open data lake for the science of science research

Z Lin, Y Yin, L Liu, D Wang - Scientific Data, 2023 - nature.com
The science of science has attracted growing research interests, partly due to the increasing
availability of large-scale datasets capturing the innerworkings of science. These datasets …

The science of science: From the perspective of complex systems

A Zeng, Z Shen, J Zhou, J Wu, Y Fan, Y Wang… - Physics reports, 2017 - Elsevier
The science of science (SOS) is a rapidly developing field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

Systematic inequality and hierarchy in faculty hiring networks

A Clauset, S Arbesman, DB Larremore - Science advances, 2015 - science.org
The faculty job market plays a fundamental role in shaping research priorities, educational
outcomes, and career trajectories among scientists and institutions. However, a quantitative …

Untangling the network effects of productivity and prominence among scientists

W Li, S Zhang, Z Zheng, SJ Cranmer… - Nature communications, 2022 - nature.com
While inequalities in science are common, most efforts to understand them treat scientists as
isolated individuals, ignoring the network effects of collaboration. Here, we develop models …

Early-career setback and future career impact

Y Wang, BF Jones, D Wang - Nature communications, 2019 - nature.com
Setbacks are an integral part of a scientific career, yet little is known about their long-term
effects. Here we examine junior scientists applying for National Institutes of Health R01 …

Human migration: The big data perspective

A Sîrbu, G Andrienko, N Andrienko, C Boldrini… - International Journal of …, 2021 - Springer
How can big data help to understand the migration phenomenon? In this paper, we try to
answer this question through an analysis of various phases of migration, comparing …