Hi all,
I'm new to the mailing list, and I wanted to share a
pipeline I built on top of the OpenAlex public S3 snapshot that computes
successive h-indices (Schubert 2007) up the researcher → institution →
country hierarchy: h₂ per institution and h₃ per country.
The highlights:
- The overall institution-level ranking is, in substance, a ranking of medical school size
- China's applied-science strength is real
- Brazil is really good at Dentistry
The full write-up with field-level tables and country rankings is on my blog:
https://rupumped.github.io/h2.html. The pipeline code is on GitHub:
https://github.com/rupumped/successive-h-indices.
One
natural extension would be ranking university departments. The
hierarchy extends cleanly to researcher → department → institution →
country, with h₁ through h₄. Departments are field-specialized by
construction, which would also eliminate the need to infer each author's
modal field from topic weights. The missing piece is departmental
affiliation data, which OpenAlex doesn't currently expose. That would be
the single most valuable addition for scientometric work of this kind.
Happy to share more detail on the pipeline if it's useful. Thank you for all the great work you do!
Nick