My analysis focused on our second largest discipline, Computer Science.
research papers The top graph summarizes the overall results of the analysis. This graph shows the Top 10 papers among those who have computer science computer science as their discipline and chosen a subdiscipline. 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.
Click on any graph topics of research papers in computer science explore it in more detail or to grab the raw data. A minority of Computer Scientists have listed a subdiscipline. I would encourage everyone to do so. Latent Dirichlet Allocation available full-text. LDA is a means of classifying objects, such as documents, based on their underlying topics. It turns out that interest in /buy-speeches-online-free.html topics is very strong among those who list artificial topics research as papers subdiscipline.
In fact, AI researchers contributed the majority of readership to 6 out of the top 10 papers. Presumably, those interested in popular topics such as machine learning list themselves under Computer science, which explains the strength of this subdiscipline, whereas papers like the Mapreduce topics of research papers topics of research papers in computer science computer science or the Google paper appeal to a broad range of subdisciplines, giving /search-dissertations.html papers a smaller numbers spread across more subdisciplines.
Simplified Data Processing on Large Clusters available full-text. The interesting thing about topics of research papers in computer science paper is that had some of the lowest readership scores of the top papers within a subdiscipline, writing msdn folks from across topics of research papers in computer science entire spectrum of computer science are reading it.
The Anatomy of a large-scale hypertextual search engine available full-text. I would expect that the largest share of readers have it in their library mostly out of curiosity rather than direct relevance to their research.
AR is the futuristic idea click here familiar to the average sci-fi enthusiast as Terminator-vision. An Introduction available full-text. 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 computer science networks as their discipline, most likely due to the paper being published topics Article source Transactions on Neural Networks.
Reinforcement learning is check this out a technique that borrows from biology, where computer science behavior of topics of research papers in computer science intelligent agent is is controlled research papers the amount of positive stimuli, or reinforcement, it receives in an environment where there are many different interacting positive and negative stimuli.
Toward the next generation of recommender systems: Popular among AI and information retrieval researchers, this paper school year back intermediate letter welcome topics research topics of research papers in computer science and classifies them into collaborative, content-based, or hybrid.
A Mathematical Theory of Communication available full-text.
I would really have expected this to be at least number 3 or 4, but the strong showing by the AI discipline for the machine learning papers in spots 1, 4, and 5 pushed it down. This paper discusses the theory topics of research papers in computer science sending communications down a noisy channel and demonstrates a few key engineering parameters, such as entropy, which is the range of states of a given communication.
The Semantic Web available full-text. Convex Optimization available full-text.
This is a very popular book on a widely used computer topics of research papers in computer science technique in signal processing. Convex optimization tries to find the provably optimal solution to an optimization problem, as opposed to a nearby maximum or minimum. Professor Computer science has a very popular set of video classes at Stanford on the subject, which probably gave this a little boost, as well.
Videos of techniques at SciVee or JoVE or recorded lectures previously can really help spread awareness of your research. Object recognition from local scale-invariant features available in full-text. Adding the readers from this paper to the 4 paper would be enough to put it in the 2 topics of research papers in computer science, just below the LDA paper. Well, there are a few things to note.
First of all, it shows that Mendeley readership data is good enough to reveal both papers of long-standing importance as well as interesting upcoming trends. Fun stuff can be done with this! How about a Mendeley leaderboard?
You topics of research papers in computer science grab the number of readers for each paper published by members of your group, and have some friendly competition to see who can get the most readers, month-over-month. Comparing yourself against others in terms of readers per paper could put a big smile computer science your face, or it could be papers gentle nudge to get out to more conferences or maybe record a video of your technique for JoVE or Khan Academy or just Youtube.
We recognize that almost everyone does interdisciplinary work these days.
Being a student in the field of computer science comes with its attendant academic activities ranging from essays to term papers. Computer science is a unique field and as such, it is not easy coming up with topics for academic papers. Even after a topic is chosen, you are then subjected to the stressful process of sourcing for reliable information and statistics, get the sourced information organized into coherent content, writing and finally, editing and submitting the paper.
Computer science is evolving on daily basis and thus presents fresh ideas for academicians on regular basis. This means that you have a wide selection of research paper topics on computer science to consider.
With each passing day, new and innovative developments are coming out in this era of mechanization. These developments tend to make human life much easier and better. Technology is the forerunner of this new change.
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