Pervasive and Mobile Computing

Papers
(The H4-Index of Pervasive and Mobile Computing is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-08-01 to 2025-08-01.)
ArticleCitations
AR Peephole Interface: Extending the workspace of a mobile device using real-space information75
Collective victim counting in post-disaster response: A distributed, power-efficient algorithm via BLE spontaneous networks66
Special Issue on IoT for Fighting COVID-1958
Editorial Board54
IoT data encryption and phrase search-based efficient processing using a Fully Homomorphic-based SE (FHSE) scheme41
Distributed fault detection in sparse wireless sensor networks utilizing simultaneous likelihood ratio statistics40
What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention33
HED-FL: A hierarchical, energy efficient, and dynamic approach for edge Federated Learning33
Context-aware privacy-preserving access control for mobile computing33
Bio-inspired recruiting strategies for on-demand connectivity over multi-layer hybrid CubeSat-UAV networks in emergency scenarios30
Deep learning based speed bumps detection and characterization using smartphone sensors30
Special Issue on IEEE WoWMoM 202129
Spectrum cartography techniques, challenges, opportunities, and applications: A survey28
Secure D2D caching framework inspired on trust management and blockchain for Mobile Edge Caching26
Enhanced hybrid prototype for few-shot class-incremental gait recognition in multi-activity scenarios using wearable sensors25
Hybrid and Adaptive Cryptographic-based secure authentication approach in IoT based applications using hybrid encryption25
CIU-L: A class-incremental learning and machine unlearning passive sensing system for human identification24
FastPlan: A three-step framework for accelerating drone-centric search operations in post-disaster relief24
RSS based multistage statistical method for attack detection and localization in IoT networks24
A single smartwatch-based segmentation approach in human activity recognition23
A context-aware sensing strategy with deep reinforcement learning for smart healthcare23
ADAM-sense: Anxiety-displaying activities recognition by motion sensors22
Q-Learning Driven Routing for Aeronautical Ad-Hoc Networks22
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