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

ICAPS: International Conference on Automated Planning and Scheduling — papers and institutions, 2024–2026

Papers of ICAPS, International Conference on Automated Planning and Scheduling (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. Also as Markdown.

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Key findings#

  • ICAPS (International Conference on Automated Planning and Scheduling) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 224 of its papers from 2024–2026 (82 in 2024, 51 in 2025, 91 in 2026).
  • By the countries of the authors' institutions, the most papers come from the United States (62), Germany (33) and Australia (32).
  • The institutions with the most papers are Australian National University (17), University of Basel (17) and Saarland University (16).
  • Its most-cited paper of these years is “SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments” (2024), with 67 citations.

Papers per year#

ICAPS papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
20248282
20255151
20269189

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4387283601The conference's proceedings

Who publishes there#

Institutions with the most ICAPS papers, 2024–2026
#InstitutionPapers
1Australian National University17
2University of Basel17
3Saarland University16
4University of Brescia15
5Centre National de la Recherche Scientifique12
6Linköping University10
7Université de Toulouse10
8Czech Technical University in Prague10
9Aalborg University10
10German Research Centre for Artificial Intelligence9
Countries with the most ICAPS papers, 2024–2026
#CountryPapers
1United States62
2Germany33
3Australia32
4United Kingdom31
5Italy23
6Switzerland17
7France17
8China15
9Denmark13
10Spain13
Keywords with the most ICAPS papers, 2024–2026
#KeywordPapers
1classical planning21
2automated planning20
3PDDL14
4large language models13
5multi-agent path finding13
6heuristic search12
7A* algorithm10
8computational complexity9
9numeric planning9
10scalability9

Most-cited papers#

Most-cited ICAPS papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
167SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments2024-05-30Abhinav Rajvanshi, Karan Sikka, Xiao Lin et al.
254On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)2024-05-30Vishal Pallagani, Bharath Chandra Muppasani, Kaushik Roy et al.
323Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning2024-05-30Robbert Reijnen, Yingqian Zhang, Hoong Chuin Lau et al.
413Large Language Models as Planning Domain Generators2024-05-30James T. Oswald, Kavitha Srinivas, Harsha Kokel et al.
512PDDL+ Models for Deployable yet Effective Traffic Signal Optimisation2024-05-30Anas El Kouaiti, Francesco Percassi, Alessandro Saetti et al.
611DynTaskMAS: A Dynamic Task Graph-driven Framework for Asynchronous and Parallel LLM-based Multi-Agent Systems2025-09-16Junwei Yu, Yepeng Ding, Hiroyuki Sato
710Improving Learnt Local MAPF Policies with Heuristic Search2024-05-30Rishi Veerapaneni, Qian Wang, Kevin Ren et al.
88Planning and Execution in Multi-Agent Path Finding: Models and Algorithms2024-05-30Yue Zhang, Zhe Chen, Daniel Harabor et al.
97Non-deterministic Planning for Hyperproperty Verification2024-05-30Raven Beutner, Bernd Finkbeiner
107Decentralized, Decomposition-Based Observation Scheduling for a Large-Scale Satellite Constellation2024-05-30Itai Zilberstein, Ananya Rao, Matthew Salis et al.

Conferences in the same field#

AAAI · EMNLP · ACL · ICRA · IJCAI · HRI · EC · KR · IROS · Interspeech · NAACL · AAMAS · CIKM · ECAI · EACL · GECCO · IJCAR · CP · SAT · CADE · FOGA

Cite this page

Scholar4AI. (2026). ICAPS: International Conference on Automated Planning and Scheduling — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/icaps

@misc{scholar4ai-proceedings-icaps,
  author = {{Scholar4AI}},
  title = {ICAPS: International Conference on Automated Planning and Scheduling — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/icaps}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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