Data for: How to Evaluate Rankings of Academic Entities using Test Data

Published: 19 Jun 2018 | Version 1 | DOI: 10.17632/4d46zncg4k.1

Description of this data

This data consists of four test data sets consisting of academic entities (authors and papers) that have won various awards. Ranks of various ranking algorithms are given for each entity computed on two publication databases (Microsoft Academic Graph and ACM Digital Library).
Test data sets: (1) acm fellows, (2) long time contribution awards for researchers, (3) best paper awards, and (4) high-impact papers.

Experiment data files

This data is associated with the following publication:

How to evaluate rankings of academic entities using test data

Published in: Journal of Informetrics

Latest version

  • Version 1


    Published: 2018-06-19

    DOI: 10.17632/4d46zncg4k.1

    Cite this dataset

    Dunaiski, Marcel (2018), “Data for: How to Evaluate Rankings of Academic Entities using Test Data”, Mendeley Data, v1


Computer Science, Information Retrieval

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

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