The bar graphs for each paper show the distribution of readership levels among subdisciplines.
17 of the 21 CS subdisciplines are represented and the axis scales and color schemes remain constant throughout.
Here’s what I found: What I found was a fascinating list of topics, with many of the expected fundamental papers like Shannon’s Theory of Information and the Google paper, a strong showing from Mapreduce and machine learning, but also some interesting hints that augmented reality may be becoming more of an actual reality soon.
The top graph summarizes the overall results of the analysis.
It’s a fascinating piece of history related to something that has now become part of our every day lives.
This paper was new to me, although I’m sure it’s not new to many of you.
This graph shows the Top 10 papers among those who have listed computer science as their discipline .
The bars are colored according to subdiscipline and the number of readers is shown on the x-axis.
The importance of the monolithic “Big Iron” supercomputer has been on the wane for decades.
The interesting thing about this paper is that had some of the lowest readership scores of the top papers within a subdiscipline, but folks from across the entire spectrum of computer science are reading it.