Using bibliometric maps to visualise term distribution in scientific papers

Abstract

Bibliometric maps are scaled representations of clusters of papers and provide an overview of a scientific field as provided by those papers and the references between them. We have enhanced our interactive bibliometric explorer (iBEX) to visualise the distribution of phrases over such bibliometric maps. Assuming that generic (non-content-bearing) phrases occur in most of the papers in the map, those phrases confined to a specific part of the map will probably be more content-bearing than those distributed all over the map. Such knowledge can eventually be used to evaluate a selection of words and phrases.