---
title: "INFOCOM (A*): papers and universities"
description: "INFOCOM (IEEE International Conference on Computer Communications) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 899 of its papers from 2024–2026 (262 in 2024, 25 in 2025, 612 in 2026). By the countries of the authors' institutions, the most papers come from China (482), the United States (213) and Hong Kong (91)."
url: https://scholar4ai.com/proceedings/infocom
markdown_url: https://scholar4ai.com/proceedings/infocom.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "INFOCOM (IEEE International Conference on Computer Communications) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 899 of its papers from 2024–2026 (262 in 2024, 25 in 2025, 612 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)
---

# INFOCOM: IEEE International Conference on Computer Communications — papers and institutions, 2024–2026

Papers of INFOCOM, IEEE International Conference on Computer Communications (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

- INFOCOM (IEEE International Conference on Computer Communications) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 899 of its papers from 2024–2026 (262 in 2024, 25 in 2025, 612 in 2026).
- By the countries of the authors' institutions, the most papers come from China (482), the United States (213) and Hong Kong (91).
- The institutions with the most papers are Tsinghua University (63), Zhejiang University (38) and University of Science and Technology of China (34).
- Its most-cited paper of these years is “Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference” (2024), with 46 citations.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 262 | 253 |
| 2025 | 25 | 25 |
| 2026 | 612 | 598 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S7407087743](https://openalex.org/S7407087743) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 63 |
| 2 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 38 |
| 3 | [University of Science and Technology of China](https://scholar4ai.com/institutions/university-of-science-and-technology-of-china.md) | 34 |
| 4 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 30 |
| 5 | Beijing University of Posts and Telecommunications | 27 |
| 6 | [Southeast University](https://scholar4ai.com/institutions/southeast-university.md) | 26 |
| 7 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 25 |
| 8 | Hong Kong University of Science and Technology | 25 |
| 9 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 22 |
| 10 | [Nanjing University](https://scholar4ai.com/institutions/nanjing-university.md) | 22 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 482 |
| 2 | United States | 213 |
| 3 | Hong Kong | 91 |
| 4 | Japan | 66 |
| 5 | Germany | 42 |
| 6 | United Kingdom | 34 |
| 7 | Canada | 31 |
| 8 | South Korea | 30 |
| 9 | Italy | 29 |
| 10 | Singapore | 28 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | edge computing | 59 |
| 2 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 48 |
| 3 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 38 |
| 4 | resource allocation | 25 |
| 5 | communication efficiency | 22 |
| 6 | energy efficiency | 21 |
| 7 | 5G | 18 |
| 8 | age of information | 18 |
| 9 | mobile edge computing | 17 |
| 10 | cloud computing | 16 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 46 | [Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference](https://doi.org/10.1109/infocom52122.2024.10621342) | 2024-05-20 | Shengyuan Ye, Jiangsu Du, Liekang Zeng et al. |
| 2 | 46 | [Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments](https://doi.org/10.1109/infocom52122.2024.10621333) | 2024-05-20 | Yajie Zhou, Xiaoyi Pang, Zhibo Wang et al. |
| 3 | 39 | [Accelerating Handover in Mobile Satellite Network](https://doi.org/10.1109/infocom52122.2024.10621115) | 2024-05-20 | Jiasheng Wu, Shaojie Su, Xiong Wang et al. |
| 4 | 35 | [AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection](https://doi.org/10.1109/infocom52122.2024.10621346) | 2024-05-20 | Xinchen Zhang, Running Zhao, Zhihan Jiang et al. |
| 5 | 34 | [TransformLoc: Transforming MAVs into Mobile Localization Infrastructures in Heterogeneous Swarms](https://doi.org/10.1109/infocom52122.2024.10621375) | 2024-05-20 | Haoyang Wang, Jingao Xu, Chenyu Zhao et al. |
| 6 | 32 | [Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning](https://doi.org/10.1109/infocom52122.2024.10621440) | 2024-05-20 | Nan Yan, Yuqing Li, Jing Chen et al. |
| 7 | 32 | [In-Orbit Processing or Not? Sunlight-Aware Task Scheduling for Energy-Efficient Space Edge Computing Networks](https://doi.org/10.1109/infocom52122.2024.10621268) | 2024-05-20 | Weisen Liu, Zeqi Lai, Qian Wu et al. |
| 8 | 32 | [Account Migration across Blockchain Shards using Fine-tuned Lock Mechanism](https://doi.org/10.1109/infocom52122.2024.10621244) | 2024-05-20 | Huawei Huang, Yue Lin, Zibin Zheng |
| 9 | 31 | [Titanic: Towards Production Federated Learning with Large Language Models](https://doi.org/10.1109/infocom52122.2024.10621164) | 2024-05-20 | Ningxin Su, Chenghao Hu, Baochun Li et al. |
| 10 | 31 | [Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration](https://doi.org/10.1109/infocom52122.2024.10621254) | 2024-05-20 | Zhiyuan Wu, Sheng Sun, Yuwei Wang et al. |

## Cite this page

Scholar4AI. (2026). INFOCOM: IEEE International Conference on Computer Communications — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/infocom

```bibtex
@misc{scholar4ai-proceedings-infocom,
  author = {{Scholar4AI}},
  title = {INFOCOM: IEEE International Conference on Computer Communications — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/infocom}},
  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/).