방법 비교

	i10-Index	m-Quotient (Hirsch m)
분야	계량서지학	계량서지학
계열	Process / pipeline	Process / pipeline
기원 연도	2011	2005
창시자	Google Scholar (Google Scholar Citations / My Citations)	Jorge E. Hirsch
유형	Author-level productivity count of well-cited papers	Career-length-normalized author impact rate
원전	Cornell University Library. Measuring Your Research Impact: i10-Index. Defines the i10-index as the number of publications with at least 10 citations, created and used by Google Scholar.	Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569-16572.
별칭	Google Scholar i10-index, i10 index, ten-citation index	Hirsch m-quotient, m-parameter, h-index per year
관련	3	3
요약	The i10-index is a deliberately simple author-level metric introduced by Google Scholar in 2011 for its Scholar Citations profiles. It counts the number of a researcher's publications that have each accumulated at least ten citations. Unlike the h-index, whose threshold depends on the rank of the paper, the i10-index applies a single fixed cutoff, making it transparent and trivial to compute. Its appeal lies in this simplicity and in its native availability on every Google Scholar profile, though it is used almost exclusively within the Google Scholar ecosystem and offers less discriminating power than rank-based indices.	The m-quotient, defined by Jorge Hirsch in the same 2005 paper that introduced the h-index, normalizes an author's h-index by the length of their scientific career. Because the h-index can only grow over time and never decreases, raw h-values systematically favor senior researchers and make it unfair to compare early-career scientists with established ones. The m-quotient divides the h-index by the number of years since the researcher's first publication, yielding a rate of impact accumulation per year. Hirsch proposed rough benchmarks on this scale, suggesting that a sustained value near 1 characterizes a successful scientist, near 2 an outstanding one, and near 3 a truly exceptional figure, making the m-quotient a tool for comparing researchers at different career stages.