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 extent and drivers of gender imbalance in neuroscience reference lists

JD Dworkin, KA Linn, EG Teich, P Zurn… - Nature …, 2020 - nature.com
Similarly to many scientific disciplines, neuroscience has increasingly attempted to confront
pervasive gender imbalances. Although publishing and conference participation are often …

[图书][B] The science of science

D Wang, AL Barabási - 2021 - books.google.com
This is the first comprehensive overview of the'science of science,'an emerging
interdisciplinary field that relies on big data to unveil the reproducible patterns that govern …

Global citation inequality is on the rise

MW Nielsen, JP Andersen - Proceedings of the National …, 2021 - National Acad Sciences
Citations are important building blocks for status and success in science. We used a linked
dataset of more than 4 million authors and 26 million scientific papers to quantify trends in …

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 …

Early coauthorship with top scientists predicts success in academic careers

W Li, T Aste, F Caccioli, G Livan - Nature communications, 2019 - nature.com
We examined the long-term impact of coauthorship with established, highly-cited scientists
on the careers of junior researchers in four scientific disciplines. Here, using matched pair …

Defining and identifying sleeping beauties in science

Q Ke, E Ferrara, F Radicchi… - Proceedings of the …, 2015 - National Acad Sciences
A Sleeping Beauty (SB) in science refers to a paper whose importance is not recognized for
several years after publication. Its citation history exhibits a long hibernation period followed …

Ranking in evolving complex networks

H Liao, MS Mariani, M Medo, YC Zhang, MY Zhou - Physics Reports, 2017 - Elsevier
Complex networks have emerged as a simple yet powerful framework to represent and
analyze a wide range of complex systems. The problem of ranking the nodes and the edges …