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 develo** field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …

A century of physics

R Sinatra, P Deville, M Szell, D Wang, AL Barabási - Nature Physics, 2015 - nature.com
A century of physics | Nature Physics Skip to main content Thank you for visiting nature.com.
You are using a browser version with limited support for CSS. To obtain the best experience …

New and atypical combinations: An assessment of novelty and interdisciplinarity

M Fontana, M Iori, F Montobbio, R Sinatra - Research Policy, 2020 - Elsevier
Novelty indicators are increasingly important for science policy. This paper challenges the
indicators of novelty as an atypical combination of knowledge (Uzzi et al., 2013) and as the …

World citation and collaboration networks: uncovering the role of geography in science

RK Pan, K Kaski, S Fortunato - Scientific reports, 2012 - nature.com
Modern information and communication technologies, especially the Internet, have
diminished the role of spatial distances and territorial boundaries on the access and …

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 …

[BOOK][B] The geography of scientific collaboration

A Olechnicka, A Ploszaj, D Celińska-Janowicz - 2019 - library.oapen.org
Science is increasingly defined by multidimensional collaborative networks. Despite the
unprecedented growth of scientific collaboration around the globe–the collaborative turn …

Machine learning misclassification networks reveal a citation advantage of interdisciplinary publications only in high-impact journals

A Lyutov, Y Uygun, MT Hütt - Scientific Reports, 2024 - nature.com
Given a large enough volume of data and precise, meaningful categories, training a
statistical model to solve a classification problem is straightforward and has become a …

The more multidisciplinary the better?–The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions

Z Zuo, K Zhao - Journal of Informetrics, 2018 - Elsevier
Scientific research is increasingly relying on collaborations to address complex real-world
problems. Many researchers, policymakers, and administrators consider a multidisciplinary …

Taking census of physics

F Battiston, F Musciotto, D Wang, AL Barabási… - Nature Reviews …, 2019 - nature.com
Over the past decades, the diversity of areas explored by physicists has exploded,
encompassing new topics from biophysics and chemical physics to network science …

We are who we cite: Bridges of influence between natural language processing and other academic fields

JP Wahle, T Ruas, M Abdalla, B Gipp… - arxiv preprint arxiv …, 2023 - arxiv.org
Natural Language Processing (NLP) is poised to substantially influence the world. However,
significant progress comes hand-in-hand with substantial risks. Addressing them requires …