---
title: "EuroSys (A): papers and universities"
description: "EuroSys (Eurosys Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 290 of its papers from 2024–2026 (71 in 2024, 85 in 2025, 134 in 2026). By the countries of the authors' institutions, the most papers come from China (160), the United States (113) and Hong Kong (33)."
url: https://scholar4ai.com/proceedings/eurosys
markdown_url: https://scholar4ai.com/proceedings/eurosys.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "EuroSys (Eurosys Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 290 of its papers from 2024–2026 (71 in 2024, 85 in 2025, 134 in 2026). (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)
---

# EuroSys: Eurosys Conference — papers and institutions, 2024–2026

Papers of EuroSys, Eurosys Conference (CORE rank A; field: Distributed computing and systems software), 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

- EuroSys (Eurosys Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 290 of its papers from 2024–2026 (71 in 2024, 85 in 2025, 134 in 2026).
- By the countries of the authors' institutions, the most papers come from China (160), the United States (113) and Hong Kong (33).
- The institutions with the most papers are Shanghai Jiao Tong University (34), Tsinghua University (34) and Hong Kong University of Science and Technology (19).
- Its most-cited paper of these years is “Automatic Root Cause Analysis via Large Language Models for Cloud Incidents” (2024), with 190 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 71 | 71 |
| 2025 | 85 | 85 |
| 2026 | 134 | 134 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4306418317](https://openalex.org/S4306418317) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 34 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 34 |
| 3 | Hong Kong University of Science and Technology | 19 |
| 4 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 18 |
| 5 | Microsoft (United States) | 16 |
| 6 | University of Illinois Urbana-Champaign | 13 |
| 7 | ByteDance (China) | 13 |
| 8 | Alibaba Group (China) | 13 |
| 9 | [Nanjing University](https://scholar4ai.com/institutions/nanjing-university.md) | 13 |
| 10 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 12 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 160 |
| 2 | United States | 113 |
| 3 | Hong Kong | 33 |
| 4 | South Korea | 20 |
| 5 | Canada | 19 |
| 6 | Switzerland | 12 |
| 7 | Germany | 11 |
| 8 | United Kingdom | 10 |
| 9 | Singapore | 10 |
| 10 | Australia | 6 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 17 |
| 2 | scalability | 15 |
| 3 | large language model inference | 11 |
| 4 | serverless computing | 11 |
| 5 | load balancing | 9 |
| 6 | RDMA | 8 |
| 7 | consensus algorithms | 8 |
| 8 | energy efficiency | 8 |
| 9 | fault tolerance | 8 |
| 10 | service level objectives | 8 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 190 | [Automatic Root Cause Analysis via Large Language Models for Cloud Incidents](https://doi.org/10.1145/3627703.3629553) | 2024-04-18 | Yinfang Chen, Huaibing Xie, Minghua Ma et al. |
| 2 | 100 | [Orion: Interference-aware, Fine-grained GPU Sharing for ML Applications](https://doi.org/10.1145/3627703.3629578) | 2024-04-18 | Foteini Strati, Xianzhe Ma, Ana Klimovic |
| 3 | 81 | [On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud](https://doi.org/10.1145/3627703.3650079) | 2024-04-18 | Thanathorn Sukprasert, Abel Souza, Noman Bashir et al. |
| 4 | 75 | [CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion](https://doi.org/10.1145/3689031.3696098) | 2025-03-26 | Jiayi Yao, Hanchen Li, Yuhan Liu et al. |
| 5 | 75 | [HybridFlow: A Flexible and Efficient RLHF Framework](https://doi.org/10.1145/3689031.3696075) | 2025-03-26 | Guangming Sheng, Chi Zhang, Zilingfeng Ye et al. |
| 6 | 71 | [ZKML: An Optimizing System for ML Inference in Zero-Knowledge Proofs](https://doi.org/10.1145/3627703.3650088) | 2024-04-18 | Bing-Jyue Chen, Suppakit Waiwitlikhit, Ion Gabriel Stoica et al. |
| 7 | 41 | [Exploring Performance and Cost Optimization with ASIC-Based CXL Memory](https://doi.org/10.1145/3627703.3650061) | 2024-04-18 | Yupeng Tang, Ping Zhou, Wenhui Zhang et al. |
| 8 | 35 | [Astraea: Towards Fair and Efficient Learning-based Congestion Control](https://doi.org/10.1145/3627703.3650069) | 2024-04-18 | Xudong Liao, Tian Han, Chaoliang Zeng et al. |
| 9 | 33 | [T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge](https://doi.org/10.1145/3689031.3696099) | 2025-03-26 | Jianyu Wei, Shijie Cao, Ting Cao et al. |
| 10 | 32 | [Serverless Cold Starts and Where to Find Them](https://doi.org/10.1145/3689031.3696073) | 2025-03-26 | Artjom Joosen, Ahmed Hassan, Martin Asenov et al. |

## Cite this page

Scholar4AI. (2026). EuroSys: Eurosys Conference — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/eurosys

```bibtex
@misc{scholar4ai-proceedings-eurosys,
  author = {{Scholar4AI}},
  title = {EuroSys: Eurosys Conference — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/eurosys}},
  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/).