Research Papers In Computer Science

Since we recently announced our 001 Binary Battle to promote applications built on the Mendeley API (now including PLo S as well), I decided to take a look at the data to see what people have to work with.

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AI again drove the popularity of this paper in large part and to understand why, think “Augmented Reality“.

AR is the futuristic idea most familiar to the average sci-fi enthusiast as Terminator-vision.

17 of the 21 CS subdisciplines are represented and the axis scales and color schemes remain constant throughout.

Click on any graph to explore it in more detail or to grab the raw data.

In this paper, Google founders Sergey Brin and Larry Page discuss how Google was created and how it initially worked.

This is another paper that has high readership across a broad swath of disciplines, including AI, but wasn’t dominated by any one discipline.The bars are colored according to subdiscipline and the number of readers is shown on the x-axis.The bar graphs for each paper show the distribution of readership levels among subdisciplines.Reinforcement learning is essentially a technique that borrows from biology, where the behavior of an intelligent agent is is controlled by the amount of positive stimuli, or reinforcement, it receives in an environment where there are many different interacting positive and negative stimuli.This is how we’ll teach the robots behaviors in a human fashion, before they rise up and destroy us.Given the strong interest in the topic, AR could be closer than we think, but we’ll probably use it to layer Groupon deals over shops we pass by instead of building unstoppable fighting machines.This is another machine learning paper and its presence in the top 10 is primarily due to AI, with a small contribution from folks listing neural networks as their discipline, most likely due to the paper being published in IEEE Transactions on Neural Networks.Presumably, those interested in popular topics such as machine learning list themselves under AI, which explains the strength of this subdiscipline, whereas papers like the Mapreduce one or the Google paper appeal to a broad range of subdisciplines, giving those papers a smaller numbers spread across more subdisciplines.Professor Blei is also a bit of a superstar, so that didn’t hurt.It turns out that interest in this paper is very strong among those who list artificial intelligence as their subdiscipline.In fact, AI researchers contributed the majority of readership to 6 out of the top 10 papers.


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