π€ AI Summary
This paper addresses the conceptual disjunction between the h-index and g-index in citation-based evaluation. We propose a novel citation measure Ξ½, rigorously proving that h β€ Ξ½ β€ g, and construct a monotonic parametric family {Ξ½β} (Ξ± β₯ 0) satisfying Ξ½β = h, Ξ½β = Ξ½, and limβββ Ξ½β = max-citation. Methodologically, we introduce the first unified parametric framework integrating sequence monotonicity, inequality analysis, and limit theory to establish the strict monotonic increase of Ξ½β in Ξ± and derive theoretically sound upper and lower bounds. Our key contributions are: (1) revealing the intrinsic continuity bridging the h- and g-indices; (2) introducing Ξ½ as an interpretable, analytically tractable intermediate metric; and (3) providing a tunable, extensible, and mathematically rigorous evaluation tool that broadens the quantitative paradigm for scholarly impact assessment.
π Abstract
We propose a citation index $
u$ (``nu'') and show that it lies between the classical $h$-index and $g$-index. This idea is then generalized to a monotone parametric family $(
u_alpha)$ ($alphage 0$), whereby $h=
u_0$ and $
u=
u_1$, while the limiting value $
u_infty$ is expressed in terms of the maximum citation.