Back to Search Start Over

VisualRPI: Visualizing Research Productivity and Impact.

Authors :
Hung, Chihli
Lin, Wei-Chao
Source :
Sustainability (2071-1050); Jul2022, Vol. 14 Issue 13, p7679-N.PAG, 11p
Publication Year :
2022

Abstract

Research productivity and impact (RPI) is commonly measured through citation analysis, such as the h-index. Despite the popularity and objectivity of this type of method, it is still difficult to effectively compare a number of related researchers in terms of various citation-related statistics at the same time, such as average cites per year/paper, the number of papers/citations, h-index, etc. In this work, we develop a method that employs information visualization technology, and examine its applicability for the assessment of researchers' RPI. Specifically, our prototype, a visualizing research productivity and impact (VisualRPI) system, is introduced, which is composed of clustering and visualization components. The clustering component hierarchically clusters similar research statistics into the same groups, and the visualization component is used to display the RPI in a clear manner. A case example using information for 85 information systems researchers is used to demonstrate the usefulness of VisualRPI. The results show that this method easily measures the RPI for various performance indicators, such as cites/paper and h-index. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20711050
Volume :
14
Issue :
13
Database :
Complementary Index
Journal :
Sustainability (2071-1050)
Publication Type :
Academic Journal
Accession number :
157996067
Full Text :
https://doi.org/10.3390/su14137679