Most-read research ideas
The research idea notes people read most since the counting started on 2026-10-28, by page views and by AI assistants fetching them for their users. Updated four times a day. Reads are counted from the server's access log: a page view is a browser opening the note's page (a navigation by a browser that does not call itself a bot, once per address and day), and an AI assistant read is a fetch of the note or its Markdown version by an assistant acting for a person (ChatGPT-User, Claude-User, Perplexity-User and the like). Search engine and AI crawlers, monitors and other bots are left out. Only the counts are kept. Also as Markdown.
Key findings#
- Since the counting started on 2026-10-28, the most-read research idea was “Subscriptions, churn and the right to cancel” (7 reads), followed by “Treasury market liquidity and the basis trade” (3) and “AI washing and stock price crash risk” (2).
- Readers opened 35 of the 323 notes (47 page views), and AI assistants fetched 6 for their users (6 reads).
- The most-read tags were ai (23), economics (16) and management (15).
Cite this page
Scholar4AI. (2026). Most-read research ideas. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/rankings/ideas
@misc{scholar4ai-rankings-ideas,
author = {{Scholar4AI}},
title = {Most-read research ideas},
year = {2026},
howpublished = {\url{https://scholar4ai.com/rankings/ideas}},
urldate = {2026-11-02},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}