Why it has become more difficult to predict Nobel Prize winners: a bibliometric analysis of Nominees and Winners of the Chemistry and Physics Prizes (1901-2007)
Yves Gingras, Matthew L. Wallace

TL;DR
This study analyzes bibliometric data from 1901 to 2007 to understand the evolving profiles of Nobel laureates in chemistry and physics, revealing declining predictive power of citation metrics and insights into disciplinary shifts.
Contribution
It provides a comprehensive bibliometric analysis of Nobel winners over a century, highlighting factors affecting predictability and disciplinary evolution.
Findings
Prize awarded at career peak despite Halo Effect
Decline in bibliometric predictability over time
Discipline fragmentation and hierarchy influence selection
Abstract
We propose a comprehensive bibliometric study of the profile of Nobel prizewinners in chemistry and physics from 1901 to 2007, based on citation data available over the same period. The data allows us to observe the evolution of the profiles of winners in the years leading up to (and following) nominations and awarding of the Nobel Prize. The degree centrality and citation rankings in these fields confirm that the Prize is awarded at the peak of the winners' careers, despite brief a Halo Effect observable in the years following the attribution of the Prize. Changes in the size and organization of the two fields result in a rapid decline of predictive power of bibliometric data over the century. This can be explained not only by the growing size and fragmentation of the two disciplines, but also, at least in the case of physics, by an implicit hierarchy in the most legitimate topics…
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Taxonomy
Topicsscientometrics and bibliometrics research · Complex Network Analysis Techniques · History and advancements in chemistry
