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G-Index & i10-Index Calculator: Go Beyond the H-Index
While the H-index is the gold standard for measuring academic impact, it often fails to account for "superstar" papers with exceptionally high citation counts. Our G-Index and i10-Index Calculator provides a more nuanced view of your scholarly influence. Simply enter your citation data below to see how your research impact scales across different academic metrics.
Academic Impact Calculator
Enter citation counts (separated by commas, spaces, or lines) to calculate your H-Index, G-Index, and i10-Index simultaneously.
G-Index & i10-Index: Advanced Metrics for Research Impact
While the H-index is the industry standard for measuring academic success, it often fails to represent the full influence of researchers with high-impact “superstar” papers. To gain a complete understanding of a scholarly footprint, researchers use the G-Index and the i10-Index. These metrics provide a more nuanced view of citation weight and consistent productivity.
Visualizing Impact: H-Index vs. G-Index
Why the G-Index matters: The H-Index (blue) only cares if a paper hits a threshold. The G-Index (orange) accounts for the total number of citations, rewarding researchers for their most influential work.
What is the G-Index?
Introduced by Leo Egghe, the G-Index aims to improve upon the H-index by giving more weight to highly-cited papers. It is defined as the unique largest number $g$ such that the top $g$ articles received a combined total of at least $g^2$ citations. This makes it an essential metric for scientists whose top-tier publications have “exploded” in citations, but whose total number of papers might be lower.
What is the i10-Index?
The i10-index is a straightforward metric pioneered by Google Scholar. It simply counts the number of publications that have received at least 10 citations. It is widely used in academic profiles to demonstrate a consistent track record of “meaningful” research output that has moved beyond initial publication.
Key Benefits of Tracking Multiple Metrics
- Nuanced Evaluation: Don’t rely on a single number to define your career.
- Highlight Excellence: Use the G-index to show the impact of your best-performing papers.
- Show Consistency: Use the i10-index to prove that your research is regularly cited by peers.
FAQs
While the H-index considers productivity and impact, the i10-index counts papers with 10+ citations, and the G-index emphasizes highly cited papers. Each offers a different perspective on research influence.
For most academic research and master’s theses, a margin of error of 5% is the standard. If you require extreme precision, you can aim for 1% to 3%, but keep in mind that this will significantly increase your required sample size.
No. All computations happen locally in your browser; your data is not saved or shared.
No. All computations happen locally in your browser; your data is not saved or shared.
The 95% confidence level is the scientific standard. It means that if you repeated your study, 95 times out of 100 the results would lie within your margin of error. 99% is typically reserved for critical medical or high-stakes technical research.
You only need to enter the population size if you are studying a small, specific group (e.g., “all employees of a certain company”). If you are studying a large or unknown group (e.g., “all internet users”), you can leave the population size empty to use the “infinite population” formula.
Yes! The interface and explanations are designed for users at all levels of academic experience.
Absolutely, it is fully responsive and mobile-friendly.