Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

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. Also as Markdown.

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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)
YearPapersWith affiliations
2024203203
2025204203
2026––

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4363608973The conference's proceedings

Who publishes there#

Institutions with the most EC papers, 2024–2026
#InstitutionPapers
1Massachusetts Institute of Technology33
2Columbia University32
3Stanford University30
4Harvard University29
5Northwestern University23
6Yale University22
7Cornell University21
8University of California, Berkeley20
9University of Chicago19
10Tel Aviv University18
Countries with the most EC papers, 2024–2026
#CountryPapers
1United States301
2Israel46
3United Kingdom45
4China27
5France24
6Canada19
7Germany19
8Hong Kong16
9Italy16
10Singapore12
Keywords with the most EC papers, 2024–2026
#KeywordPapers
1mechanism design49
2principal-agent problem21
3indivisible goods20
4fair division19
5revenue maximization18
6strategy-proofness13
7approximation algorithms11
8incentive compatibility11
9digital platforms10
10first-price auctions10

Most-cited papers#

Most-cited EC papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
139Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?2024-07-08Apostolos Filippas, John Joseph Horton, Benjamin S. Manning
218Games on Endogenous Networks2025-07-02Evan D. Sadler, Benjamin Golub
314The Economic Limits of Permissionless Consensus2024-07-08Eric B. Budish, Andrew Lewis-Pye, Tim Roughgarden
414Collusion-Resilience in Transaction Fee Mechanism Design2024-07-08Hao Chung, Tim Roughgarden, Elaine Shi
513The Economics of Large Language Models: Token Allocation, Fine-Tuning, and Optimal Pricing2025-07-02Dirk Bergemann, Alessandro Bonatti, Alex Smolin
613Generative Social Choice2024-07-08Sara Fish, Paul Gölz, David C. Parkes et al.
711Using GPT for Market Research2024-07-08James Brand, Ayelet Israeli, Donald Ngwe
810GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning2024-07-08Tonghan Wang, Yanchen Jiang, David C. Parkes
910Pushing the Frontier on Approximate EFX Allocations2024-07-08Georgios Amanatidis, Aris Filos-Ratsikas, Alkmini Sgouritsa
1010AI Oversight and Human Mistakes: Evidence from Centre Court2024-07-08David Almog, Romain Gauriot, Lionel Page et al.

Conferences in the same field#

AAAI · EMNLP · ACL · ICRA · IJCAI · HRI · SODA · STOC · ICALP · KR · FOCS · SoCG · CAV · ICAPS · LICS · IROS · Interspeech · NAACL · AAMAS · CIKM · ECAI · EACL · GECCO · ESA · ITCS · APPROX/RANDOM · STACS · IJCAR · CCC · GD · CP · SAT · ALENEX · CADE · FOGA

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

@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}
}

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