In the standard stochastic geometric setting, wireless networks can be modeled as point processes and their performances as certain mean functionals of the point process. Obtaining closed form expressions of such functionals is not easy for a general class of point processes. This motivates a comparative study. We study comparison of one such class of mean functionals - the additive and extremal shot-noise fields - which arise naturally in modeling of wireless networks, as ingredients of the so called Signal-to-Interference-Noise-Ratio.