Universal productivity patterns in research careers

Interactive visualization of the clustering patterns of researchers’ productivity curves. This visualization displays a network representation in which each node corresponds to one of the 8,465 researchers within our dataset. Researchers with similar productivity trajectories are grouped closely together. We have identified ten distinct communities, each represented by a unique color, which correspond to groups of researchers with similar productivity patterns. These ten clusters are further grouped into six categories: constant (cluster 1), u-shaped (cluster 2), decreasing (cluster 3), periodic-like (cluster 4), increasing (clusters 5 and 6), and canonical-like (clusters 7 to 10) curves. You can access individual trajectories and associated information, including cluster, pattern, discipline, and career size, by simply hovering your mouse over each node. For more details, please refer to our paper.