My impression was that the OP didn't say superlinear algorithms are somehow useless; merely that there are reasons why the linear (or better) ones can be used i

My impression was that the OP didn't say superlinear algorithms are somehow useless; merely that there are reasons why the linear (or better) ones can be used in much more general settings, which is what makes them "big impact".