---
title: "CIKM (A): papers and universities"
description: "CIKM (ACM International Conference on Information and Knowledge Management) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,549 of its papers from 2024–2026 (697 in 2024, 852 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from China (745), the United States (379) and South Korea (153)."
url: https://scholar4ai.com/proceedings/cikm
markdown_url: https://scholar4ai.com/proceedings/cikm.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "CIKM (ACM International Conference on Information and Knowledge Management) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,549 of its papers from 2024–2026 (697 in 2024, 852 in 2025; 2026 not… (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)
---

# CIKM: ACM International Conference on Information and Knowledge Management — papers and institutions, 2024–2026

Papers of CIKM, ACM International Conference on Information and Knowledge Management (CORE rank A; field: Data management and data science, 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

- CIKM (ACM International Conference on Information and Knowledge Management) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 1,549 of its papers from 2024–2026 (697 in 2024, 852 in 2025; 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from China (745), the United States (379) and South Korea (153).
- The institutions with the most papers are Chinese Academy of Sciences (50), Renmin University of China (48) and Tsinghua University (43).
- Its most-cited paper of these years is “RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models” (2024), with 100 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 697 | 683 |
| 2025 | 852 | 837 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4393918199](https://openalex.org/S4393918199) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 50 |
| 2 | [Renmin University of China](https://scholar4ai.com/institutions/renmin-university-of-china.md) | 48 |
| 3 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 43 |
| 4 | [University of Science and Technology of China](https://scholar4ai.com/institutions/university-of-science-and-technology-of-china.md) | 42 |
| 5 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 40 |
| 6 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 36 |
| 7 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 35 |
| 8 | Amazon (United States) | 33 |
| 9 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 33 |
| 10 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 33 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 745 |
| 2 | United States | 379 |
| 3 | South Korea | 153 |
| 4 | Australia | 129 |
| 5 | Hong Kong | 92 |
| 6 | Germany | 50 |
| 7 | Canada | 48 |
| 8 | Singapore | 48 |
| 9 | United Kingdom | 46 |
| 10 | Italy | 33 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 281 |
| 2 | [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) | 104 |
| 3 | recommender systems | 90 |
| 4 | [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) | 66 |
| 5 | retrieval-augmented generation | 54 |
| 6 | knowledge graphs | 35 |
| 7 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 30 |
| 8 | interpretability | 28 |
| 9 | sequential recommendation | 27 |
| 10 | attention mechanism | 26 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 100 | [RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models](https://doi.org/10.1145/3627673.3680016) | 2024-10-20 | Zefan Wang, Z.G Liu, Y. Zhang et al. |
| 2 | 67 | [Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models](https://doi.org/10.1145/3627673.3679519) | 2024-10-20 | Qiong Nan, Qiang Sheng, Juan Cao et al. |
| 3 | 66 | [Learnable Item Tokenization for Generative Recommendation](https://doi.org/10.1145/3627673.3679569) | 2024-10-20 | Wenjie Wang, Honghui Bao, Xinyu Lin et al. |
| 4 | 51 | [RecDiff: Diffusion Model for Social Recommendation](https://doi.org/10.1145/3627673.3679630) | 2024-10-20 | Zongwei Li, Lianghao Xia, Chao Huang |
| 5 | 51 | [Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis](https://doi.org/10.1145/3627673.3679614) | 2024-10-20 | Zhe Liu, Xiang Huang, Jingyun Zhang et al. |
| 6 | 48 | [AlignRec: Aligning and Training in Multimodal Recommendations](https://doi.org/10.1145/3627673.3679626) | 2024-10-20 | Yifan Liu, Kangning Zhang, Xiangyuan Ren et al. |
| 7 | 46 | [LawLLM: Law Large Language Model for the US Legal System](https://doi.org/10.1145/3627673.3680020) | 2024-10-20 | Dong Shu, Haoran Zhao, Xukun Liu et al. |
| 8 | 42 | [Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning](https://doi.org/10.1145/3627673.3679655) | 2024-10-20 | Ziqiang Cui, Haolun Wu, Bowei He et al. |
| 9 | 40 | [Multi-Behavior Generative Recommendation](https://doi.org/10.1145/3627673.3679730) | 2024-10-20 | Zihan Liu, Yupeng Hou, Julian McAuley |
| 10 | 40 | [TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou](https://doi.org/10.1145/3627673.3680030) | 2024-10-20 | Zihua Si, Lin Guan, Zhongxiang Sun et al. |

## Cite this page

Scholar4AI. (2026). CIKM: ACM International Conference on Information and Knowledge Management — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/cikm

```bibtex
@misc{scholar4ai-proceedings-cikm,
  author = {{Scholar4AI}},
  title = {CIKM: ACM International Conference on Information and Knowledge Management — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/cikm}},
  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/).