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

 

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

 

 

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