Where is your field going? A machine learning approach to study the relative motion of the domains of physics

Andrea Palmucci, Hao Liao, Andrea Napoletano and Andrea Zaccaria

PLOS ONE, 2020, vol. 15, issue 6, 1-16

Abstract: We propose an original approach to describe the scientific progress in a quantitative way. Using innovative Machine Learning techniques we create a vector representation for the PACS codes and we use them to represent the relative movements of the various domains of Physics in a multi-dimensional space. This methodology unveils about 25 years of scientific trends, enables us to predict innovative couplings of fields, and illustrates how Nobel Prize papers and APS milestones drive the future convergence of previously unrelated fields.

Date: 2020
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0233997

DOI: 10.1371/journal.pone.0233997

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