Moritz Messerschmidt: Toro: A Web-based Tool to Search, Explore, Screen and Compare Literature in a Visual Paper Graph

We presents Toro, a web-based application that aims to simplify the time-consuming literature research process by providing an easy way of searching, exploring, screening, and comparing literature inside a visual paper graph. Unlike many automated tools, the user can actively explore papers and construct the graph. Users can add one or multiple papers by either searching across different publishers, pasting DOI links, or dropping bibtex files. Users can analyse relations between papers in one view, look up common keywords of multiple papers, access paper details and categorize them easily. Expanding and collapsing references allow exploring interesting streams of literature and performing search strategies like snowballing across platforms easily. To manage large numbers of papers and identify interesting work, users can apply customisable filters or define highlighting criteria. We present details of our initial design and implementation of Toro. We also discuss the results of a preliminary user study with 18 researchers that demonstrate that the tool already helps researchers’ exploration process and highlights opportunities for future work. 

This poster was uploaded for the SGS Research Showcase 2022.  

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