Quantifying patterns of research-interest evolution

T Jia, D Wang, BK Szymanski - Nature Human Behaviour, 2017 - nature.com
To understand quantitatively how scientists choose and shift their research focus over time is
of high importance, because it affects the ways in which scientists are trained, science is …

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 …

Become a better you: Correlation between the change of research direction and the change of scientific performance

X Yu, BK Szymanski, T Jia - Journal of Informetrics, 2021 - Elsevier
It is important to explore how scientists decide their research agenda and the corresponding
consequences, as their decisions collectively shape contemporary science. There are …

Quantifying long-term scientific impact

D Wang, C Song, AL Barabási - Science, 2013 - science.org
The lack of predictability of citation-based measures frequently used to gauge impact, from
impact factors to short-term citations, raises a fundamental question: Is there long-term …

Slowed canonical progress in large fields of science

JSG Chu, JA Evans - … of the National Academy of Sciences, 2021 - National Acad Sciences
In many academic fields, the number of papers published each year has increased
significantly over time. Policy measures aim to increase the quantity of scientists, research …

Persistence and uncertainty in the academic career

AM Petersen, M Riccaboni… - Proceedings of the …, 2012 - National Acad Sciences
Understanding how institutional changes within academia may affect the overall potential of
science requires a better quantitative representation of how careers evolve over time …

Increasing trend of scientists to switch between topics

A Zeng, Z Shen, J Zhou, Y Fan, Z Di, Y Wang… - Nature …, 2019 - nature.com
Despite persistent efforts in understanding the creativity of scientists over different career
stages, little is known about the underlying dynamics of research topic switching that drives …

Prestige drives epistemic inequality in the diffusion of scientific ideas

AC Morgan, DJ Economou, SF Way, A Clauset - EPJ Data Science, 2018 - epjds.epj.org
The spread of ideas in the scientific community is often viewed as a competition, in which
good ideas spread further because of greater intrinsic fitness, and publication venue and …

Incentives and creativity: evidence from the academic life sciences

P Azoulay, JS Graff Zivin… - The RAND Journal of …, 2011 - Wiley Online Library
Despite its presumed role as an engine of economic growth, we know surprisingly little
about the drivers of scientific creativity. We exploit key differences across funding streams …

Stagnation and scientific incentives

J Bhattacharya, M Packalen - 2020 - nber.org
New ideas no longer fuel economic growth the way they once did. A popular explanation for
stagnation is that good ideas are harder to find, rendering slowdown inevitable. We present …