Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network

M Krenn, L Buffoni, B Coutinho, S Eppel… - Nature Machine …, 2023 - nature.com
A tool that could suggest new personalized research directions and ideas by taking insights
from the scientific literature could profoundly accelerate the progress of science. A field that …

Unveiling the impact and dual innovation of funded research

AJ Yang - Journal of Informetrics, 2024 - Elsevier
In the relentless pursuit of scientific advancement, comprehending the profound impact and
innovation nature inherent in funded research projects assumes paramount significance. To …

[HTML][HTML] Barriers to transitioning to a circular bio-based economy: Findings from an industrial perspective

E Dace, A Cascavilla, M Bianchi, E Chioatto… - Sustainable Production …, 2024 - Elsevier
The transition from a linear fossil-based to a circular bio-based economy represents an
opportunity and a suitable pathway for achieving several sustainable development goals …

Pre-training multi-task contrastive learning models for scientific literature understanding

Y Zhang, H Cheng, Z Shen, X Liu, YY Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Scientific literature understanding tasks have gained significant attention due to their
potential to accelerate scientific discovery. Pre-trained language models (LMs) have shown …

Impact of gender composition of academic teams on disruptive output

MZ Zhang, TR Wang, PH Lyu, QM Chen, ZX Li… - Journal of …, 2024 - Elsevier
Intergender collaboration is becoming increasingly common in academia. However, the
impact of team gender structures on innovation remains unknown. Using data from the …

Productive scientists are associated with lower disruption in scientific publishing

H Li, CJ Tessone, A Zeng - Proceedings of the National …, 2024 - National Acad Sciences
While scientific researchers often aim for high productivity, prioritizing the quantity of
publications may come at the cost of time and effort dedicated to individual research. It is …

Dataset artefacts are the hidden drivers of the declining disruptiveness in science

V Holst, A Algaba, F Tori, S Wenmackers… - arXiv preprint arXiv …, 2024 - arxiv.org
Park et al.[1] reported a decline in the disruptiveness of scientific and technological
knowledge over time. Their main finding is based on the computation of CD indices, a …

Research on scientific knowledge evolution patterns based on ego-centered fine-granularity citation network

J Yang, L Wu, L Lyu - Information Processing & Management, 2024 - Elsevier
A deep comprehension of the development of scientific knowledge is necessary to properly
appreciate technological advancement and the process of knowledge innovation. However …

New facts and data about professors and their research

KR Myers, WY Tham, J Thursby, M Thursby… - arXiv preprint arXiv …, 2023 - arxiv.org
We introduce a new survey of professors at roughly 150 of the most research-intensive
institutions of higher education in the US. We document seven new features of how research …

The disruption index suffers from citation inflation and is confounded by shifts in scholarly citation practice

AM Petersen, F Arroyave, F Pammolli - arXiv preprint arXiv:2406.15311, 2024 - arxiv.org
Measuring the rate of innovation in academia and industry is fundamental to monitoring the
efficiency and competitiveness of the knowledge economy. To this end, a disruption index …