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See further upon the giants: Quantifying intellectual lineage in science
Author(s) -
Woo Seong Jo,
Lu Liu,
Dashun Wang
Publication year - 2022
Publication title -
quantitative science studies
Language(s) - English
Resource type - Journals
ISSN - 2641-3337
DOI - 10.1162/qss_a_00186
Subject(s) - citation , shoulders , index (typography) , dimension (graph theory) , computer science , library science , mathematics , medicine , surgery , world wide web , pure mathematics
Newton’s centuries-old wisdom of standing on the shoulders of giants raises a crucial yet underexplored question: Out of all the prior works cited by a discovery, which one is its giant? Here, we develop a discipline-independent method to identify the giant for any individual paper, allowing us to better understand the role and characteristics of giants in science. We find that across disciplines, about 95% of papers appear to stand on the shoulders of giants, yet the weight of scientific progress rests on relatively few shoulders. Defining a new measure of giant index, we find that, while papers with high citations are more likely to be giants, for papers with the same citations, their giant index sharply predicts a paper’s future impact and prize-winning probabilities. Giants tend to originate from both small and large teams, being either highly disruptive or highly developmental. Papers that did not have a giant tend to do poorly on average, yet interestingly, if such papers later became a giant for other papers, they tend to be home-run papers that are highly disruptive to science. Given the crucial importance of citation-based measures in science, the developed concept of giants may offer a useful dimension in assessing scientific impact that goes beyond sheer citation counts.

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