Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I selected 10 leading demographic journals and using Scopus data looked which demographers published most papers in there β¨ I also calculated the average citations per paper for these authors and average age of their papers (in color) π Isnβt this demographic Hall Of Fame? π
using author_id selecting document types
UDP some critical reflections for this baby-step analysis:
Of course, there are multiple assumptions, imitations, and arbitrary decisions: β I chose only 10 journals as the demographic core (I canβt think of a way to summon all demographic papers from all the not exclusively demographic journals; this selection is subjective and likely biased towards my view of demographic literature, obvious gap that I see is the field of family demography) β the top-50 is cut by the number of publications in these journals (obvious fix β to remove editorials; but there may also be a way to include citations as a proxy of importance at the step of determining the top) β the time horizon may receive special attention, not just color (would it make sense to introduce some measure of career stage?) β Scopus had a specific bias for recency (openalex is the tool going forward)
Having this noted, the rest is objective. I think, in a way this is a demographic hall of fame π
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.