Academic Journal
Q1IEEE Transactions on Mobile Computing
About IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing is a scholarly journal published by Institute of Electrical and Electronics Engineers Inc.. SCImago 2025 lists it in Q1, with an SJR of 2.397 and H-index of 170.
Coverage: 2002-2026. Research categories: Computer Networks and Communications (Q1); Electrical and Electronic Engineering (Q1); Software (Q1).
Source-backed journal facts
Topics in published research
Mobile Ad Hoc Networks; IoT and Edge/Fog Computing; Wireless Networks and Protocols; Indoor and Outdoor Localization Technologies; Advanced MIMO Systems Optimization; Cooperative Communication and Network Coding.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
2,645.00 USD
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
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Wei Feng, Wenyang Gao, Jianping Yao, Longyu Zhou et al.
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Musen Zhang, Yuxuan Liu, Yunfei Luan, Jinkai Li et al.
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Haoxu Wu, Shaohua Wu, Aimin Li, Siqi Meng et al.
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Dapeng Wu, Changxing Lu, Zhiyuan Zhu, Tong Tang et al.
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2026-10 · DOI: 10.1109/tmc.2026.3686502BioMutFed+: Mutation-Driven Federated Learning for IIoT
Raiha Tallat, Xingfu Wang, Ammar Hawbani, Xiaohua Xu et al.
2026-10 · DOI: 10.1109/tmc.2026.3707971Reviews
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September 25, 2026 at 6:39 am
September 21, 2026