http://futureofscipub.wordpress.com/open-post-publication-pe... http://www.frontiersin.org/Computational_Neuroscience/10.338... http://retractionwatch.wordpress.com/2013/03/22/brian-deers-...
http://futureofscipub.wordpress.com/open-post-publication-pe... http://www.frontiersin.org/Computational_Neuroscience/10.338... http://retractionwatch.wordpress.com/2013/03/22/brian-deers-...
Professors usually ask their grad students to read the most important and influential papers in the field. When those grad students then turn around and start composing papers of their own, they'll refer to the ones they read, creating a kind of circular feedback cycle. Thus, if you want to find a field's best work, it often suffices to look for highly cited papers first.
It's like Reddit's karma voting system, just a lot slower. :)
A lot of terrible, and even retracted papers have a high citation count, though.
All that process should do is reinforce the status-qua.