During the deep learning revolution, researchers who persisted in their prior topics suffered a citation-impact penalty, while moderate, selective pivoting was associated with the largest gains.
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Persistence Paradox in Dynamic Science
During the deep learning revolution, researchers who persisted in their prior topics suffered a citation-impact penalty, while moderate, selective pivoting was associated with the largest gains.