The following tool was brought to my attention the other day: Connected Papers, “a visual tool to help researchers and applied scientists find and explore papers relevant to their field of work”. It analyzes thousands of papers, selects the ones with the strongest connections to an entered paper, and generates a graph. In this graph, the tool arranges papers according to their similarity in terms of co-citation and bibliographic coupling. Unlike in a citation tree (e.g., Web of Science), “even papers that do not directly cite each other can be strongly connected and very closely positioned”, which I believe is a very useful alternative to other search strategies. “According to this measure, two papers that have highly overlapping citations and references are presumed to have a higher chance of treating a related subject matter.” With the help of the tool, I was able to identify very exciting papers that I would certainly not have found with other search engines. Connected Papers is self-funded and free.