A general summability method of two-dimensional Fourier transforms is given with the help of an integrable function \(\theta\). Under some conditions on \(\theta\) we show that the maximal operator of the Marcinkiewicz-\(\theta\)-means of a tempered distribution is bounded from \(H_p \left( {R^2 } \right)\) to \(L_p \left( {R^2 } \right)\) for all \(p_0 < p \leqq \infty \) and, consequently, is of weak type \(\left( {1,1} \right)\), where \(p_0 < 1\) depends only on \(\theta \). As a consequence we obtain a generalization for Fourier transforms of a summability result due to Marcinkievicz and Zhizhiashvili, more exactly, the Marcinkiewicz-\(\theta \)-means of a function \(f \in L_1 \left( {R^2 } \right)\) converge a.e. to the function in question. Moreover, we prove that the Marcinkiewicz-\(\theta\)-means are uniformly bounded on the spaces \(H_p \left( {R^2 } \right)\) and so they converge in norm \(\left( {p_0 < p < \infty } \right)\). Some special cases of the Marcinkievicz-\(\theta \)-summation are considered, such as the Weierstrass, Picar, Bessel, Fejer, de la Vallee-Poussin, Rogosinski and Riesz summations.
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