Economics conference proceedings: CORE A* and A conferences, 2024–2026
The conferences rated A* or A by the CORE Conference Rankings (ICORE2026) that relate to economics: EC. A conference can be listed under several categories. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.
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Key findings#
- EC is the one conference rated A* or A by the CORE ICORE2026 ranking that is listed for Economics; OpenAlex lists 407 of its papers from 2024–2026.
- The most-cited paper is “Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?” (EC, 2024), with 39 citations.
Conferences#
| Conference | Name | Rank | Field | 2024 | 2025 | 2026 | 2024–2026 |
|---|---|---|---|---|---|---|---|
| EC | ACM Conference on Economics and Computation | A* | Artificial intelligence, Theory of computation | 203 | 204 | – | 407 |
Most-cited papers#
| # | Citations | Title | Conference | Published |
|---|---|---|---|---|
| 1 | 39 | Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? | EC | 2024-07-08 |
| 2 | 18 | Games on Endogenous Networks | EC | 2025-07-02 |
| 3 | 14 | The Economic Limits of Permissionless Consensus | EC | 2024-07-08 |
| 4 | 14 | Collusion-Resilience in Transaction Fee Mechanism Design | EC | 2024-07-08 |
| 5 | 13 | The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing | EC | 2025-07-02 |
| 6 | 13 | Generative Social Choice | EC | 2024-07-08 |
| 7 | 11 | Using GPT for Market Research | EC | 2024-07-08 |
| 8 | 10 | GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning | EC | 2024-07-08 |
| 9 | 10 | Pushing the Frontier on Approximate EFX Allocations | EC | 2024-07-08 |
| 10 | 10 | AI Oversight and Human Mistakes: Evidence from Centre Court | EC | 2024-07-08 |
Cite this page
Scholar4AI. (2026). Economics conference proceedings: CORE A* and A conferences, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/categories/economics
@misc{scholar4ai-proceedings-categories-economics,
author = {{Scholar4AI}},
title = {Economics conference proceedings: CORE A* and A conferences, 2024–2026},
year = {2026},
howpublished = {\url{https://scholar4ai.com/proceedings/categories/economics}},
urldate = {2026-11-02},
note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}