See further upon the giants: Quantifying intellectual lineage in science

Author:

Jo Woo Seong123ORCID,Liu Lu1234ORCID,Wang Dashun1235ORCID

Affiliation:

1. Center for Science of Science & Innovation, Northwestern University, Evanston, IL, USA

2. Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL, USA

3. Kellogg School of Management, Northwestern University, Evanston, IL, USA

4. College of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA

5. McCormick School of Engineering, Northwestern University, Evanston, IL, USA

Abstract

Abstract 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.

Funder

Air Force Office of Scientific Research

Publisher

MIT Press - Journals

Subject

Library and Information Sciences,Cultural Studies,Numerical Analysis,Analysis

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