Data for: On the interplay between normalisation, bias, and performance of paper impact metrics

Name: Data for: On the interplay between normalisation, bias, and performance of paper impact metrics
Creator: Marcel Dunaiski
Published: 2019-01-24T05:23:48.455Z
Keywords: Computer Science, Bibliometrics

Dunaiski, Marcel; Geldenhuys, Jaco; Visser, Willem

doi:10.17632/v4mxr9p3h5.1

Data for: On the interplay between normalisation, bias, and performance of paper impact metrics

Published: 24 January 2019| Version 1 | DOI: 10.17632/v4mxr9p3h5.1

Contributors:

Marcel Dunaiski, Jaco Geldenhuys, Willem Visser

Description

This data set consists of two types of test data that may be used citation analyses: 1) papers that have won best paper awards 2) papers that have won high-impact awards All entities are matched to two publication databases: the ACM digital library and the Microsoft Academic Graph database.

Data for: On the interplay between normalisation, bias, and performance of paper impact metrics

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