Compressing multiple scales of impact detection by Reference Publication Year Spectroscopy

被引:38
作者
Comins, Jordan A. [1 ]
Hussey, Thomas W. [1 ]
机构
[1] Virginia Tech Appl Res Corp, Arlington, VA 22203 USA
关键词
Scientometrics; Informetrics; Citation analysis; Reference Publication Year Spectroscopy; Science policy; Funding agencies;
D O I
10.1016/j.joi.2015.03.003
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Reference Publication Year Spectroscopy (RPYS) is a scientometric technique that effectively reveals punctuated peaks of historical scientific impact on a specified research field or technology. In many cases, a seminal discovery serves as the driving force underlying any given peak. Importantly, the results from a RPYS analyses are represented on their own distinct scales, the bounds of which vary considerably across analyses. This makes comparing years of punctuated impact across multiple RPYS analyses problematic. In this paper, we propose a data transformation and visualization technique that resolves this challenge. Specifically, using a rank-order normalization procedure, we compress the results of multiple RPYS analyses into a single, consistent rank scale that clearly highlights years of punctuated impact across RPYS analyses. We suggest that rank transformation increases the effectiveness of this scientometric technique to reveal the scope of historical impact of seminal works by allowing researchers to simultaneously consider results from multiple RPYS analyses. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:449 / 454
页数:6
相关论文
共 14 条