The role of mainstreamness and interdisciplinarity for the relevance of scientific papers
Stefan Thurner, Wenyuan Liu, Peter Klimek, Siew Ann Cheong

TL;DR
This study uses bibliographic coupling networks from physics papers to classify papers as mainstream, interdisciplinary, or out-of-the-box, revealing trends over time and their citation impacts, highlighting the need for new incentives to promote diversity in scientific research.
Contribution
The paper introduces a network-based method to quantify mainstreamness and interdisciplinarity of scientific papers using bibliographic coupling, applied to a century of physics literature.
Findings
Mainstream papers have increased over time.
Interdisciplinary papers maintain a constant share.
Both mainstream and interdisciplinary papers receive citations, but long-term performance favors interdisciplinary.
Abstract
There is demand from science funders, industry, and the public that science should become more risk-taking, more out-of-the-box, and more interdisciplinary. Is it possible to tell how interdisciplinary and out-of-the-box scientific papers are, or which papers are mainstream? Here we use the bibliographic coupling network, derived from all physics papers that were published in the Physical Review journals in the past century, to try to identify them as mainstream, out-of-the-box, or interdisciplinary. We show that the network clusters into scientific fields. The position of individual papers with respect to these clusters allows us to estimate their degree of mainstreamness or interdisciplinary. We show that over the past decades the fraction of mainstream papers increases, the fraction of out-of-the-box decreases, and the fraction of interdisciplinary papers remains constant. Studying…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
