QiWord's upcoming new feature will allow users to query their digital libraries of research papers based on citations. This feature will help users to quickly focus their reading on papers that were cited the most within their collection of articles.
The more comprehensive a user's digital library is on a given topic, the more accurate it gets. Why is this important? It is important because citations are displayed for articles contained within a library specifically assembled by users on their topics of interest, and thus are independent from citation metrics for each individual journal and/or google scholar metrics for a given article.
Visualization of citations will enable users to identify those articles in their collections that were refered the most, prompting them to easily decide what to read and what to cite while writing their next article.
QiWord's upcoming new feature is dynamic, which its means that as you keep adding new articles to your collection, the topology of the citation lines changes accordingly to reflect the updated inter-relation among articles.
To learn more about QiWord visit https://qiword.co
Figure below:
an experimental circle plot displaying titles of articles from a digital library containing 1,000 papers containing the keyword 'salt tolerance'. Alternating black & grey colors represent articles published in different years. Blue lines conect old articles cited by recent articles. This figure was created by Neil Desh, lead developer at QiWord.