· 4 min read

Catching up + Collaboration network update: 2010-2024

You wouldn’t know it from the lack of updates on this blog, but it’s been a busy couple years. I’m sure I’m missing many important things, but a few highlights include:

An animation stepping one year at a time from 2010 to 2024. The main panel is the coauthor network: blue nodes are papers, sized by citation count on a legend from 5 to 250, and red nodes are collaborators. Each year the papers and coauthors added that year light up while everything earlier fades to the background, so the network grows outward from a few small clusters into a single connected web. Five smaller panels advance in step, tracking new manuscripts per year against a long-run average line, new collaborators per year against its own average, citations accumulating per paper as papers age, cumulative citations across all papers, and new citations each year. All five end higher than they start, and most of the growth falls after 2020.

Below is a plot of collaborations/papers (circles) over time (x-axis) by collaborator/coauthor (y-axis). I always like this plot because I feel like it is both a useful reminder that really good, compatible collaborators (i.e., the ones you want to work with again and again) are rare, but also that some one-off projects were fun and you got to meet interesting people and that made the whole thing worth it.

One horizontal line per collaborator, ordered by when we first published together, spanning 2010 to 2024. Each line runs from that person's first paper to their most recent, with circles marking papers and sized by number of collaborations on a legend from 1 to 6. Large groups of new collaborators arrive together in 2011, 2014, 2016, 2018 and again from 2021 onward, appearing as tall vertical stacks.

Here is an upset plot of my most frequent collaborators (in terms of numbers of papers) and their different sets. Most of these collaborators are actually people I don’t often collaborate with anymore, but when we did collaborate, we were quite productive.

An UpSet plot of my seven most frequent coauthors, shown by name on the chart. Horizontal bars on the left give each person's total collaborations, all between about 9 and 12. Vertical bars above show how many papers each combination of those people appears on, from 8 down to 1, with connected dots marking which of them are in each combination.

Conditional on having more than one collaboration together, who are my “most efficient” collaborators in terms of average number of citations? On the right are people I’ve written a lot with (Nancy Krieger, Jarvis Chen, and Caroline Buckee), while on the upper left are people I haven’t written a lot with but those papers got a lot of attention (Nishant Kishore and Rafa Irizarry).

A scatter plot with number of papers together on the x-axis, 1 to 13, and total citations on the y-axis, 0 to 1,500. Each point is a collaborator. Point size is years since our last collaboration, on a legend from 0 to 10 where larger means more recent; colour is citations per paper among people with more than one collaboration, running dark blue near 75 to yellow above 450. Most points cluster at one or two papers and under 200 citations, with a handful reaching 1,000 or more.