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

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. Also as Markdown.

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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)
YearPapersWith affiliations
2024262253
20252525
2026612598

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S7407087743The conference's proceedings

Who publishes there#

Institutions with the most INFOCOM papers, 2024–2026
#InstitutionPapers
1Tsinghua University63
2Zhejiang University38
3University of Science and Technology of China34
4Shanghai Jiao Tong University30
5Beijing University of Posts and Telecommunications27
6Southeast University26
7Hong Kong Polytechnic University25
8Hong Kong University of Science and Technology25
9Sun Yat-sen University22
10Nanjing University22
Countries with the most INFOCOM papers, 2024–2026
#CountryPapers
1China482
2United States213
3Hong Kong91
4Japan66
5Germany42
6United Kingdom34
7Canada31
8South Korea30
9Italy29
10Singapore28
Keywords with the most INFOCOM papers, 2024–2026
#KeywordPapers
1edge computing59
2federated learning48
3large language models38
4resource allocation25
5communication efficiency22
6energy efficiency21
75G18
8age of information18
9mobile edge computing17
10cloud computing16

Most-cited papers#

Most-cited INFOCOM papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
146Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference2024-05-20Shengyuan Ye, Jiangsu Du, Liekang Zeng et al.
246Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments2024-05-20Yajie Zhou, Xiaoyi Pang, Zhibo Wang et al.
339Accelerating Handover in Mobile Satellite Network2024-05-20Jiasheng Wu, Shaojie Su, Xiong Wang et al.
435AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection2024-05-20Xinchen Zhang, Running Zhao, Zhihan Jiang et al.
534TransformLoc: Transforming MAVs into Mobile Localization Infrastructures in Heterogeneous Swarms2024-05-20Haoyang Wang, Jingao Xu, Chenyu Zhao et al.
632Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning2024-05-20Nan Yan, Yuqing Li, Jing Chen et al.
732In-Orbit Processing or Not? Sunlight-Aware Task Scheduling for Energy-Efficient Space Edge Computing Networks2024-05-20Weisen Liu, Zeqi Lai, Qian Wu et al.
832Account Migration across Blockchain Shards using Fine-tuned Lock Mechanism2024-05-20Huawei Huang, Yue Lin, Zibin Zheng
931Titanic: Towards Production Federated Learning with Large Language Models2024-05-20Ningxin Su, Chenghao Hu, Baochun Li et al.
1031Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration2024-05-20Zhiyuan Wu, Sheng Sun, Yuwei Wang et al.

Conferences in the same field#

WWW · MobiCom · ASPLOS · ISCA · SIGCOMM · HPCA · PODC · SOSP · PerCom · SC · ICWS · ICDCS · MobiSys · IPDPS · EuroSys · IMC · ICS · ICCAD · DSN · HPDC · MMSys · ICSOC · RTAS · MSWIM · CoNEXT · RTSS · DISC · Middleware · HotOS

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

@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}
}

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