---
title: "AAMAS (A): papers and universities"
description: "AAMAS (International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,550 of its papers from 2024–2026 (434 in 2024, 464 in 2025, 652 in 2026). By the countries of the authors' institutions, the most papers come from the United States (415), China (273) and the United Kingdom (252)."
url: https://scholar4ai.com/proceedings/aamas
markdown_url: https://scholar4ai.com/proceedings/aamas.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "AAMAS (International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000)) is rated A by the CORE Conference Rankings… (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)
---

# AAMAS: International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000) — papers and institutions, 2024–2026

Papers of AAMAS, International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000) (CORE rank A; field: Artificial intelligence), 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

- AAMAS (International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,550 of its papers from 2024–2026 (434 in 2024, 464 in 2025, 652 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (415), China (273) and the United Kingdom (252).
- The institutions with the most papers are Centre National de la Recherche Scientifique (43), Chinese Academy of Sciences (43) and University of Oxford (40).
- Its most-cited paper of these years is “LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination” (2024), with 20 citations.

## Papers per year

*AAMAS papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 434 | 431 |
| 2025 | 464 | 456 |
| 2026 | 652 | 626 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4306417597](https://openalex.org/S4306417597) | The conference's proceedings |

## Who publishes there

*Institutions with the most AAMAS papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 43 |
| 2 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 43 |
| 3 | [University of Oxford](https://scholar4ai.com/institutions/university-of-oxford.md) | 40 |
| 4 | Institute of Automation | 38 |
| 5 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 36 |
| 6 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 35 |
| 7 | King's College London | 34 |
| 8 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 30 |
| 9 | Carnegie Mellon University | 30 |
| 10 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 28 |

*Countries with the most AAMAS papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 415 |
| 2 | China | 273 |
| 3 | United Kingdom | 252 |
| 4 | Germany | 99 |
| 5 | France | 89 |
| 6 | Netherlands | 87 |
| 7 | Italy | 82 |
| 8 | India | 80 |
| 9 | Australia | 70 |
| 10 | Canada | 65 |

*Keywords with the most AAMAS papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | multi-agent systems | 174 |
| 2 | multi-agent reinforcement learning | 149 |
| 3 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 123 |
| 4 | computational complexity | 74 |
| 5 | fair division | 58 |
| 6 | [reinforcement learning](https://scholar4ai.com/keywords/reinforcement-learning.md) | 50 |
| 7 | approximation algorithms | 47 |
| 8 | LLM agents | 41 |
| 9 | agent-based modeling | 39 |
| 10 | mechanism design | 39 |

## Most-cited papers

*Most-cited AAMAS papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 20 | [LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination](https://doi.org/10.65109/zdxp6361) | 2024-05-06 | Jijia Liu, Chao Yu, Jiaxuan Gao et al. |
| 2 | 13 | [Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense](https://doi.org/10.65109/hxda6728) | 2025-05-28 | Aditya Vikram Singh, Ethan Rathbun, Emma L. Graham et al. |
| 3 | 12 | [Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing](https://doi.org/10.65109/cdmt9885) | 2024-05-06 | Tesfay Zemuy Gebrekidan, Sebastian Stein, Timothy J. Norman |
| 4 | 11 | [Developing a Multi-agent and Self-adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management](https://doi.org/10.65109/bmry8759) | 2024-05-06 | Zhenglong Li, Vincent W. L. Tam, Kwan Lawrence Yeung |
| 5 | 10 | [On the Limits of Agency in Agent-based Models](https://doi.org/10.65109/fbdx5907) | 2025-05-28 | Ayush Chopra, Shashank Kumar, Nurullah Giray Kuru et al. |
| 6 | 9 | [Whom to Trust? Elective Learning for Distributed Gaussian Process Regression](https://doi.org/10.65109/uqjk8744) | 2024-05-06 | Zewen Yang, Xiaobing Dai, Akshat Dubey et al. |
| 7 | 9 | [BDI Agents in Natural Language Environments](https://doi.org/10.65109/lgwz6868) | 2024-05-06 | Alexandre Yukio Ichida, Felipe Meneguzzi, Rafael Cauê Cardoso |
| 8 | 9 | [Causal Explanations for Sequential Decision-Making in Multi-Agent Systems](https://doi.org/10.65109/fhaa7375) | 2024-05-06 | Bálint Gyevnár, Cheng Wang, Christopher G. Lucas et al. |
| 9 | 9 | [Engineering LaCAM*: Towards Real-time, Large-scale, and Near-optimal Multi-agent Pathfinding](https://doi.org/10.65109/yqid4918) | 2024-05-06 | Keisuke Okumura |
| 10 | 8 | [From Explicit Communication to Tacit Cooperation: A Novel Paradigm for Cooperative MARL](https://doi.org/10.65109/tamh6534) | 2024-05-06 | Dapeng Li, Zhiwei Xu, Bin Zhang et al. |

## Cite this page

Scholar4AI. (2026). AAMAS: International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/aamas

```bibtex
@misc{scholar4ai-proceedings-aamas,
  author = {{Scholar4AI}},
  title = {AAMAS: International Joint Conference on Autonomous Agents and Multiagent Systems (previously the International Conference on Multiagent Systems, ICMAS, changed in 2000) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/aamas}},
  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/).