Data for: Author Ranking Evaluation at Scale

Published: 27 Jun 2018 | Version 1 | DOI: 10.17632/5tzchw6r6d.1

Description of this data

This data consists of two test data sets of researchers that have (1) received one or more prestigious prizes for the long-lasting and high impact contribution to their fields (596 data entries) and (2) author names of ACM fellows (1000 data entries).
Each author in the data sets is matched to the corresponding ACM author profileID and multiple Microsoft Academic Graph author entity IDs (name disambiguated). It also includes citation counts, publication counts, download counts from various sources (ACM Digital Library, Google Scholar, Microsoft Academic).

Experiment data files

This data is associated with the following publication:

Author ranking evaluation at scale

Published in: Journal of Informetrics

Latest version

  • Version 1


    Published: 2018-06-27

    DOI: 10.17632/5tzchw6r6d.1

    Cite this dataset

    Dunaiski, Marcel (2018), “Data for: Author Ranking Evaluation at Scale”, Mendeley Data, v1


Computer Science, Bibliometrics

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CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?

You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.