{"repo":"DmytroLopushanskyy/iclr2026-affiliations","free":true,"listed":false,"github":"https://github.com/DmytroLopushanskyy/iclr2026-affiliations","clone":"git clone https://github.com/DmytroLopushanskyy/iclr2026-affiliations.git","description":"PDF-derived institutional affiliations for 5,356 ICLR 2026 accepted papers — full pipeline (scrape → parse → render), clean dataset (CSV + XLSX), and treemap charts.","language":"Python","stars":43,"topics":["bibliometrics","data-visualization","dataset","iclr","iclr-2026","machine-learning-research","openreview","pdf-parser","treemap"],"license":"MIT","category":"scrapers-browser-automation","readme_excerpt":"ICLR 2026 — Institutional Affiliations Dataset & Analysis End-to-end pipeline that turns 5,356 ICLR 2026 accepted papers into a clean, PDF-derived institutional-affiliation dataset and a publication-ready treemap of who is shaping AI research right now. This avoids the OpenReview-profile drift problem (where authors' current job appears on every paper they ever wrote — e.g. listing Wyoming as the affiliation for a paper actually written at UBC). Affiliations come from the paper's title block PDF , not from author profiles. Follow me for more analysis like this, plus AI engineering & research insights: - LinkedIn — linkedin.com/in/dmytrolopushanskyy - GitHub — github.com/DmytroLopushanskyy If this dataset or the pipeline is useful to your work, a follow / star is the easiest way to encourage me to keep publishing this kind of analysis. --- The headline chart Each rectangle is one institution sized by the number of accepted papers it appears on (counted once per paper , regardless of how many of the paper's authors are affiliated with it). Region cells are sized by the cumulative count of their top-50 institutions. Lighter shade = academia / research institute, darker shade = industry. Square version (for social posts): charts/iclr2026 top50 treemap unique grouped square.png --- What's in data/ File What it is --- --- iclr2026 public.csv / .xlsx The main dataset. 5,356 accepted papers with PDF-derived authors and institutions, normalized institution canonical names, country/reg","default_branch":null,"files":null,"tree":[],"storefront":"/r/DmytroLopushanskyy","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/DmytroLopushanskyy/iclr2026-affiliations/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}