--- title: "EC (A*): papers and universities" description: "EC (ACM Conference on Economics and Computation) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 407 of its papers from 2024–2026 (203 in 2024, 204 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from the United States (301), Israel (46) and the United Kingdom (45)." url: https://scholar4ai.com/proceedings/ec markdown_url: https://scholar4ai.com/proceedings/ec.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "EC (ACM Conference on Economics and Computation) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 407 of its papers from 2024–2026 (203 in 2024, 204 in 2025; 2026 not in OpenAlex yet). (as of 2026-11-02)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-02T12:20:52+09:00 window: 2026-10-04 to 2026-11-02 source: OpenAlex (CC0) --- # EC: ACM Conference on Economics and Computation — papers and institutions, 2024–2026 Papers of EC, ACM Conference on Economics and Computation (CORE rank A*; field: Artificial intelligence, Theory of computation), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. 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. All conferences: https://scholar4ai.com/proceedings.md ## Key findings - EC (ACM Conference on Economics and Computation) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 407 of its papers from 2024–2026 (203 in 2024, 204 in 2025; 2026 not in OpenAlex yet). - By the countries of the authors' institutions, the most papers come from the United States (301), Israel (46) and the United Kingdom (45). - The institutions with the most papers are Massachusetts Institute of Technology (33), Columbia University (32) and Stanford University (30). - Its most-cited paper of these years is “Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?” (2024), with 39 citations. ## Papers per year *EC papers per publication year in OpenAlex (–: not in OpenAlex yet)* | Year | Papers | With affiliations | |---|---:|---:| | 2024 | 203 | 203 | | 2025 | 204 | 203 | | 2026 | – | – | ## Sources *Where OpenAlex lists the papers* | OpenAlex source | Which papers | |---|---| | [S4363608973](https://openalex.org/S4363608973) | The conference's proceedings | ## Who publishes there *Institutions with the most EC papers, 2024–2026* | # | Institution | Papers | |---:|---|---:| | 1 | Massachusetts Institute of Technology | 33 | | 2 | Columbia University | 32 | | 3 | [Stanford University](https://scholar4ai.com/institutions/stanford-university.md) | 30 | | 4 | Harvard University | 29 | | 5 | Northwestern University | 23 | | 6 | Yale University | 22 | | 7 | Cornell University | 21 | | 8 | University of California, Berkeley | 20 | | 9 | University of Chicago | 19 | | 10 | [Tel Aviv University](https://scholar4ai.com/institutions/tel-aviv-university.md) | 18 | *Countries with the most EC papers, 2024–2026* | # | Country | Papers | |---:|---|---:| | 1 | United States | 301 | | 2 | Israel | 46 | | 3 | United Kingdom | 45 | | 4 | China | 27 | | 5 | France | 24 | | 6 | Canada | 19 | | 7 | Germany | 19 | | 8 | Hong Kong | 16 | | 9 | Italy | 16 | | 10 | Singapore | 12 | *Keywords with the most EC papers, 2024–2026* | # | Keyword | Papers | |---:|---|---:| | 1 | mechanism design | 49 | | 2 | principal-agent problem | 21 | | 3 | indivisible goods | 20 | | 4 | fair division | 19 | | 5 | revenue maximization | 18 | | 6 | strategy-proofness | 13 | | 7 | approximation algorithms | 11 | | 8 | incentive compatibility | 11 | | 9 | digital platforms | 10 | | 10 | first-price auctions | 10 | ## Most-cited papers *Most-cited EC papers of 2024–2026 (citations counted by OpenAlex)* | # | Citations | Title | Published | Authors | |---:|---:|---|---|---| | 1 | 39 | [Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?](https://doi.org/10.1145/3670865.3673513) | 2024-07-08 | Apostolos Filippas, John Joseph Horton, Benjamin S. Manning | | 2 | 18 | [Games on Endogenous Networks](https://doi.org/10.1145/3736252.3742686) | 2025-07-02 | Evan D. Sadler, Benjamin Golub | | 3 | 14 | [The Economic Limits of Permissionless Consensus](https://doi.org/10.1145/3670865.3673548) | 2024-07-08 | Eric B. Budish, Andrew Lewis-Pye, Tim Roughgarden | | 4 | 14 | [Collusion-Resilience in Transaction Fee Mechanism Design](https://doi.org/10.1145/3670865.3673550) | 2024-07-08 | Hao Chung, Tim Roughgarden, Elaine Shi | | 5 | 13 | [The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing](https://doi.org/10.1145/3736252.3742625) | 2025-07-02 | Dirk Bergemann, Alessandro Bonatti, Alex Smolin | | 6 | 13 | [Generative Social Choice](https://doi.org/10.1145/3670865.3673547) | 2024-07-08 | Sara Fish, Paul Gölz, David C. Parkes et al. | | 7 | 11 | [Using GPT for Market Research](https://doi.org/10.1145/3670865.3673479) | 2024-07-08 | James Brand, Ayelet Israeli, Donald Ngwe | | 8 | 10 | [GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning](https://doi.org/10.1145/3670865.3673454) | 2024-07-08 | Tonghan Wang, Yanchen Jiang, David C. Parkes | | 9 | 10 | [Pushing the Frontier on Approximate EFX Allocations](https://doi.org/10.1145/3670865.3673582) | 2024-07-08 | Georgios Amanatidis, Aris Filos-Ratsikas, Alkmini Sgouritsa | | 10 | 10 | [AI Oversight and Human Mistakes: Evidence from Centre Court](https://doi.org/10.1145/3670865.3673481) | 2024-07-08 | David Almog, Romain Gauriot, Lionel Page et al. | ## Cite this page Scholar4AI. (2026). EC: ACM Conference on Economics and Computation — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/ec ```bibtex @misc{scholar4ai-proceedings-ec, author = {{Scholar4AI}}, title = {EC: ACM Conference on Economics and Computation — papers and institutions, 2024–2026}, year = {2026}, howpublished = {\url{https://scholar4ai.com/proceedings/ec}}, urldate = {2026-11-02}, note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).