VisualRPI: Visualizing Research Productivity and Impact

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 t...

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Bibliographic Details
Published in:Sustainability 2022-07, Vol.14 (13), p.7679
Main Authors: Hung, Chihli, Lin, Wei-Chao
Format: Article
Language:English
Subjects:
Algorithms
Author productivity
Bibliometrics
Citation analysis
Citations
Clustering
Computer science
Data analysis
Datasets
Hirsch index
Information systems
Productivity
Researchers
Scientific visualization
Statistical analysis
Sustainability
Trends
Variables
Visualization
Citations: Items that this one cites
Online Access:Get full text
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su14137679