Scientific activities are increasingly subject to various quality assessment exercises and performance evaluations, based around the peer-review system and complemented with biblio- and scientometrics activities. With our state of the art publication analysis and visualization, we are able to calculate and present a versatile quantitative landscape of scientific activities, ranging from single research groups to the national level evaluations. In fact, why limit our domain to scientific evaluations? Combining knowledge inference and data mining, we are able to tackle any ‘big data’ task thrown in our direction and generate high quality intelligence with an appealing visual interactivity!




