About ResearchMap

What this platform is for

ResearchMap helps researchers find colleagues with similar projects. The platform shows you who else in the community works on related topics. Discovery is based on topical overlap: the more research topics two profiles share, the more similar they are considered.

The three discovery views

Profile Grid: Cards of all researchers. Topics that you and a researcher both picked are marked with a checkmark, so you can see at a glance why someone ranks where they do.

Sun Graph: A map centred on one researcher: the “sun“. Each of the sun’s keywords and methods becomes a labelled point on a ring, and every researcher who shares a topic connects to that point. People doing similar work gather near the same topics. Researchers sharing nothing with the sun stay dimmed on the outer ring. You are the sun by default; double-click any researcher to make them the sun and see their network.

Groups: Researchers are clustered by topic overlap, and each group is named after what its members share. One researcher can belong to several groups: full membership of their closest cluster, plus every other group whose core topics they also share. Selecting someone shows the groups they are a member of and the ones they also fit.

How similarity is computed

Each profile is the set of its keywords and methods. The similarity between two profiles is the Jaccard index: the number of shared topics divided by the number of unique topics across both profiles.

Example: you work on depression anxiety ehealth and a colleague works on depression ehealth insomnia.
You share 2 topics, and together you cover 4 unique topics (depression, anxiety, ehealth, insomnia), so the similarity is 2 / 4 = 50%.

Getting started

Add keywords and methods in your Profile Settings to appear on the maps and see personalised matches. Setup your contact information there as well. Personal information is private by default. Read the Privacy page for exactly what is stored and how to delete your account.