Research Evaluation Contribution Index hMC Index

Global Advanced Research Journal of Engineering, Technology and Innovation (GARJETI) SSN: 2315-5124 December 2014 Vol. 3(9), pp 217-238

Original Research Articles

Research Evaluation Contribution Index "hMC-Index"

*¹Akira Otsuki and ²Masayoshi Kawamura

¹Nihon University, Japan and ²MK future software

*Email: cecil2005@hotmail.co.jp

Accepted 22 December 2014

Abstract

We propose a new index to evaluate research contribution in a way that qualitatively improves on the h-index. Scientific contribution indexes, such as the h-, g-, A-, and R-indexes, typically assess contribution on the basis of published works, and particularly the number of times that those works are cited. As a result, well-experienced researchers and those who have many collaborators tend to be ranked more highly, independent of contribution. To address this, we suggest discounting cross-citations and then using the h-index formula on the modified citation counts. In this way, the index value will not be so heavily weighted against young researchers, who are likely to have fewer collaborators. This index is called the h^MC-index because it is similar to the h-index but also considers mutual citations. We additionally propose a citation map whose structure is based on the h^MC-index.

Key words Bibliometrics, Research Evaluation Contribution Index, Big data engineering, Database

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