The normalization of citation counts based on classification systems

TL;DR

This paper proposes an ideal method for normalizing citation counts by using a classification scheme to group publications by research field and year, then calculating citation percentiles within these groups.

Contribution

It introduces a two-step normalization process based on classification systems and citation percentiles, improving accuracy over existing methods.

Findings

Provides a detailed normalization procedure using classification schemes.

Suggests percentile-based citation impact scores for better comparison.

Enhances bibliometric assessment accuracy.

Abstract

If we want to assess whether the paper in question has had a particularly high or low citation impact compared to other papers, the standard practice in bibliometrics is to normalize citations in respect of the subject category and publication year. A number of proposals for an improved procedure in the normalization of citation impact have been put forward in recent years. Against the background of these proposals this study describes an ideal solution for the normalization of citation impact: in a first step, the reference set for the publication in question is collated by means of a classification scheme, where every publication is associated with a single principal research field or subfield entry (e. g. via Chemical Abstracts sections) and a publication year. In a second step, percentiles of citation counts are calculated for this set and used to assign the normalized citation impact score to the publications (and also to the publication in question).