Measuring your research impact: G-Index

Getting Started

Author Impact

H-index

G-index

i10-index

Journal Impact

Journal Citation Reports (JCR)

Eigenfactor and Article Influence

Scimago Journal and Country Rank

Google Scholar Metrics

Tracking and Measuring Your Impact

Web of Science Citation Tools

Google Scholar Citations

PLoS Article-Level Metrics

Publish or Perish

Author Disambiguation

Broadening Your Impact

The G-index was proposed by Leo Egghe in his paper "Theory and Practice of the G-Index" in 2006 as an improvement on the H-Index.  

G-Index is calculated this way: "[Given a set of articles] ranked in decreasing order of the number of citations that they received, the G-Index is the (unique) largest number such that the top g articles received (together) at least g^2 citations." (from Harzig's Publish or Perish Manual)

Advantages of the G-Index:

• Accounts for the performance of author's top articles
• Helps to make more apparent the difference between authors' respective impacts.  The inflated values of the G-Index help to give credit to lowly-cited or non-cited papers while giving credit for highly-cited papers.  

Disadvantages of the G-Index:

• Introduced in 2006. and debate continues whether G-Index is superior to H-Index.  Might not be as widely accepted as H-Index.