Novelty and Foreseeing Research Trends; The Case of Astrophysics and Astronomy
Attila Varga

TL;DR
This paper explores how atypical combinations of references and keywords can predict future citation impact in astrophysics, introducing a new metric for anticipating research trends and analyzing their influence across sub-fields.
Contribution
It introduces a novel metric to measure researchers' ability to anticipate future combinatorial trends and examines how different indexes affect citation impact predictions in astrophysics.
Findings
Atypical reference combinations predict future citation impact.
The new anticipation score based on paper combinations is effective.
Index effects vary with aggregation levels.
Abstract
Metrics based on reference lists of research articles or on keywords have been used to predict citation impact. The concept behind such metrics is that original ideas stem from the reconfiguration of the structure of past knowledge, and therefore atypical combinations in the reference lists, keywords, or classification codes indicate future high impact research. The current paper serves as an introduction to this line of research for astronomers and also addresses some methodological questions of this field of innovation studies. It is still not clear if the choice of particular indexes, such as references to journals, articles, or specific bibliometric classification codes would affect the relationship between atypical combinations and citation impact. To understand more aspects of the innovation process, a new metric has been devised to measure to what extent researchers are able to…
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