مقایسهٔ روش‌ها

	e-Index (Excess Citations)	i10-Index
حوزه	کتاب‌سنجی	کتاب‌سنجی
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	2009	2011
پدیدآور	Chun-Ting Zhang	Google Scholar (Google Scholar Citations / My Citations)
نوع	Author-level excess-citation impact index	Author-level productivity count of well-cited papers
منبع بنیادین	Zhang, C.-T. (2009). The e-index, complementing the h-index for excess citations. PLoS ONE, 4(5), e5429.	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.
نام‌های دیگر	Zhang e-index, excess citation index, e index	Google Scholar i10-index, i10 index, ten-citation index
مرتبط	3	3
خلاصه	The e-index, proposed by Chun-Ting Zhang in 2009, isolates the citations that the h-index throws away. Inside the h-core of an author's h most-cited papers, the h-index implicitly credits each paper with only h citations and discards everything above that, even though top papers may have far more. The e-index recovers exactly this surplus: it is the square root of the difference between the total citations of the h-core and the h-squared citations that the h-index already accounts for. Zhang designed it as a complement rather than a replacement for the h-index, so that the pair (h, e) together describe both the size of an author's productive core and the concentration of excess impact within it.	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.