Docear is software that allows users to manage academic literature. The software was developed by Jöran Beel, Stefan Langer, Marcel Genzmehr and Bela Gipp in Magdeburg, Germany.
- Actively developed, open source solution for managing academic papers
- Compatible with BibTeX and XML data formats
- No registration is required to use the software
- Incredible suite of
- Completely free and open source, which means that anyone can fork and modify the code to their own needs. The latest builds are always available online on the software's download page and can be accessed as either a ZIP file or through the Bazaar repository using Eclipse
- Available for all major desktop operating systems: Windows, Linux and Mac OS X
- Free online backup of complex user settings so hours of work are never lost
- Free add-on for integration with Microsoft Office Word
- Other similar software, such as Zotero and Mendeley, are suited for different things that might be better for the user's purposes. Conveniently, Docear's homepage has a chart that details the differences in functionality between the software choices
While not many people have to deal with loads upon loads of academic research papers, those who are given the task are often faced with tedious organizational work. With Docear, those days are in the past. This comprehensive software features an easy-to-use single-part user interface for organizing any sort of scholarly research documents. Papers can be sorted into various categories with the click of a button. Even the annotations on these documents can be sorted easily. Once a user gets the hang of Docear, it's possible to view multiple annotations of many documents at the same time. Thanks to the software's "literature suite" design, multiple tools are combined in a single application. For example, within Docear, one can utilize reference management, PDF management and mind mapping without having to open more application on the machine. Docear also comes equipped with a unique document recommendation system that will automatically suggest new literature based upon what's already stored in the software's database, making additional research on a subject easier than ever.