The smallest $b\in\mathbb{Z}_0$ such that $M_{ij} = 0$ for $|i-j| > b$ is the bandwidth of a matrix $M$.
Is there also a standard name for the smallest $w\in\mathbb{Z}_{\geq 0}$ such that $M_{ki}\neq0$ and $M_{kj}\neq0$ implies $|i-j| < w$ for every row $k$ of the matrix $M\in\mathbb{R}^{m\times n}$, i.e., \begin{align*} \min\left\{w\in\mathbb{Z} \mid w\geq 0 \wedge \forall k\in\mathbb{N}_{m} \forall i,j\in\mathbb{N}_n : (M_{ki}\neq 0\wedge M_{kj}\neq 0)\Rightarrow |i-j|<w \right\}. \end{align*} In other words $w$ is the width of the largest row-section of a matrix starting and ending with a nonzero element.
Maybe I would say pattern width of the matrix if I had to choose a name. But I would rather use something standard.
I need this for description of an efficient least-squares-algorithm exploiting Givens rotations where the order of the equations and therefore the bandwidth is rather irrelevant but that constant $w$ mentioned above is crucial for the performance.
Dierckx mentions matrices with small pattern width (as defined in the question) in his book "Curve and surface fitting with splines". He says that such sparse matrices have band structure and denotes the pattern width as bandwidth even if this contradicts the common understanding of the notion bandwidth.
Definition 4.1 on page 55 of his book:
Notes: