When it comes to influential neuroscience research, University College London (UCL) has a lot to boast about. That's not the opinion of a human but rather the output of a computer program that has now parsed the content of 2.5 million neuroscience articles, mapped all of the citations between them, and calculated a score of each author's influence on the rest. Three of the top 10 most influential (see table below) neuroscientists hail from UCL: Karl Friston (1st), Raymond Dolan (2nd), and Chris Frith (7th). The secret of their success? "We got into human functional brain imaging very early," Frith says. Getting in early made it possible to "be first to do many of the obvious studies."
The program, called Semantic Scholar, is an online tool built at the Allen Institute for Artificial Intelligence (AI2) in Seattle, Washington. When it debuted in April, it calculated the most influential computer scientists based on 2 million papers from that field. Since then, the AI2 team has expanded the corpus to 10 million papers, 25% of which are from neuroscience. They hope to expand that to all of the biomedical literature next year, over 20 million papers.
When Semantic Scholar looks at a paper published online, what does it actually see? Much more than the typical academic search engine, says Oren Etzioni, CEO of AI2 who has led the project. "We are using machine learning, natural language processing, and [machine] vision to begin to delve into the semantics."
Read more here: www.sciencemag.org/news/2016/11/computer-program-just-ranked-most-influential-brain-scientists-modern-era