How to use KMap?
Update your KMap data
Obtain a personalized link
This link below will show the map highlighting you. You can use this as an iframe or as a link.
Search in KMap
You can search for people, research topics, funding agencies, grants, departments, and colleges. It also supports free text to search.
Interpret KMap visualizations
The map represents a network in which the nodes are individual researchers. The edges correspond to collaborations: either joint publications or joint research proposals. Clusters represent tightly collaborating groups of researchers.
There are three types of connections: publication connections (black), grant proposal connections (gray), and both (green).
Font size represents how collaborative a person is, based on number of internal connections, number of grants, and number of publications.
The majority of researchers are in the main connected component, or the main continent on the map, while smaller connected components are islands. This is a small world network with average shortest path length of 5 on the continent, so everyone is close to everyone else. By using the first law of geography, nodes that are close to each other are more connected than nodes that are far apart. Naturally, the underlying network is dense, which is why we often just look at the map and not explicitly show all edges.
Interpret KMap data
Total funding: We do not split funds among the PI/Co-PIs. That means that if you received 10 grants from 3 different funding agencies, we sum them all up to find the total.
Customize KMap visualizations
The available map overlays are grant amounts, H-indices, patents, news, books, and research opportunities.Overlays are displayed as circles and citations as a heatmap.
If you're a department/institute/unit head and have some additional data that could be visualized on the map, contact us.