Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references

Onderzoeksoutput: Article

6 Citaten (Scopus)


Bibliometric methods for the analysis of highly specialized subjects are increasingly investigated and debated. Information and assessments well-focused at the specialty level can help make important decisions in research and innovation policy. This paper presents a novel method to approximate the specialty to which a given publication record belongs. The method partially combines sets of key values for four publication data fields: source, title, authors and references. The approach is founded in concepts defining research disciplines and scholarly communication, and in empirically observed regularities in publication data. The resulting specialty approximation consists of publications associated to the investigated publication record via key values for at least three of the four data fields. This paper describes the method and illustrates it with an application to publication records of individual scientists. The illustration also successfully tests the focus of the specialty approximation in terms of its ability to connect and help identify peers. Potential tracks for further investigation include analyses involving other kinds of specialized publication records, studies for a broader range of specialties, and exploration of the potential for diverse applications in research and research policy context.
Originele taal-2English
Pagina's (van-tot)113-132
Aantal pagina's20
TijdschriftJournal of Informetrics
Nummer van het tijdschrift1
StatusPublished - feb 2018


Duik in de onderzoeksthema's van 'Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references'. Samen vormen ze een unieke vingerafdruk.

Citeer dit