<abstract xmlns="http://www.w3.org/1999/xhtml"><sec><h3>Purpose</h3><p>This paper proposes a discrimination index method based on the Jain's fairness index to distinguish researchers with the same H-index.</p></sec><sec><h3>Design/methodology/approach</h3><p>A validity test is used to measure the correlation of D-offset with the parameters, i.e. H-index, the number of cited papers, the total number of citations, the number of indexed papers, and the number of uncited papers. The correlation test is based on the Saphiro-Wilk method and Pearson's product-moment correlation.</p></sec><sec><h3>Findings</h3><p>The result from the discrimination index calculation is a two-digit decimal value called the discrimination-offset (D-offset), with a range of D-offset from 0.00 to 0.99. The result of the correlation value between the D-offset and the number of uncited papers is 0.35, D-offset with the number of indexed papers is 0.24, and the number of cited papers is 0.27. The test provides the result that it is very unlikely that there exists no relationship between the parameters.</p></sec><sec><h3>Practical implications</h3><p>For this reason, D-offset is proposed as an additional parameter for H-index to differentiate researchers with the same H-index. The H-index for researchers can be written with the format of “H-index: D-offset”.</p></sec><sec><h3>Originality/value</h3><p>D-offset is worthy to be considered as a complement value to add the H-index value. If the D-offset is added in the H-index value, the H-index will have more discrimination power to differentiate the rank of the researchers who have the same H-index.</p></sec></abstract>

PurposeThis paper proposes a discrimination index method based on the Jain's fairness index to distinguish researchers with the same H-index.Design/methodology/approachA validity test is used to measure the correlation of D-offset with the parameters, i.e. H-index, the number of cited papers, the total number of citations, the number of indexed papers, and the number of uncited papers. The correlation test is based on the Saphiro-Wilk method and Pearson's product-moment correlation.FindingsThe result from the discrimination index calculation is a two-digit decimal value called the discrimination-offset (D-offset), with a range of D-offset from 0.00 to 0.99. The result of the correlation value between the D-offset and the number of uncited papers is 0.35, D-offset with the number of indexed papers is 0.24, and the number of cited papers is 0.27. The test provides the result that it is very unlikely that there exists no relationship between the parameters.Practical implicationsFor this reason, D-offset is proposed as an additional parameter for H-index to differentiate researchers with the same H-index. The H-index for researchers can be written with the format of “H-index: D-offset”.Originality/valueD-offset is worthy to be considered as a complement value to add the H-index value. If the D-offset is added in the H-index value, the H-index will have more discrimination power to differentiate the rank of the researchers who have the same H-index.

A Discrimination Index Based on Jain's Fairness Index to Differentiate Researchers with Identical H-index Values

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

PurposeThis paper proposes a discrimination index method based on the Jain's fairness index to distinguish researchers with the same...

A Discrimination Index Based on Jain's Fairness Index to Differentiate Researchers with Identical H-index Values

Article Category: Research Paper

Publié en ligne: 24 juil. 2020

Pages: 5 - 18

Reçu: 24 févr. 2020

Accepté: 11 juin 2020

DOI: https://doi.org/10.2478/jdis-2020-0026

Mots clés
Discrimination index, D-offset, Validity, Jain's fairness index

© 2020 Adian Fatchur Rochim et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

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Figure 4

Figure 5

Figure 6

Distribution of discrimination offset value in H-index Range 1 to 110.

Correlation test results using pearson product correlation moment of total citations, the number of indexed papers, the number of uncited papers, and D-offset.

A Discrimination Index Based on Jain's Fairness Index to Differentiate Researchers with Identical H-index Values

Article Category: Research Paper

Publié en ligne: 24 juil. 2020

Pages: 5 - 18

Reçu: 24 févr. 2020

Accepté: 11 juin 2020

DOI: https://doi.org/10.2478/jdis-2020-0026

Mots clésDiscrimination index, D-offset, Validity, Jain's fairness index

© 2020 Adian Fatchur Rochim et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Distribution of discrimination offset value in H-index Range 1 to 110.

Correlation test results using pearson product correlation moment of total citations, the number of indexed papers, the number of uncited papers, and D-offset.

Mots clés
Discrimination index, D-offset, Validity, Jain's fairness index