Pervasive and Mobile Computing

Papers
(The H4-Index of Pervasive and Mobile Computing is 21. 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 2020-03-01 to 2024-03-01.)
ArticleCitations
Verification of smart contracts: A survey59
What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention53
Merged glowworm swarm with ant colony optimization for energy efficient clustering and routing in Wireless Sensor Network52
Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network46
Distributed load balancing for heterogeneous fog computing infrastructures in smart cities40
Energy and task completion time trade-off for task offloading in fog-enabled IoT networks37
Air-writing recognition using smart-bands34
A blockchain-based trust management method for Internet of Things34
ECCbAP: A secure ECC-based authentication protocol for IoT edge devices34
Is blockchain for Internet of Medical Things a panacea for COVID-19 pandemic?31
ProDroid — An Android malware detection framework based on profile hidden Markov model31
IoT-enabled Low Power Environment Monitoring System for prediction of PM2.529
Model checking smart contracts for Ethereum27
PoEWAL: A lightweight consensus mechanism for blockchain in IoT27
An approach to compute the scope of a social object in a Multi-IoT scenario27
Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis26
Device-independent cellular-based indoor location tracking using deep learning24
A scalable Edge Computing architecture enabling smart offloading for Location Based Services23
Accurate indoor positioning using IEEE 802.11mc round trip time22
Wavelet transform analytics for RF-based UAV detection and identification system using machine learning22
Mobile music recommendations for runners based on location and emotions: The DJ-Running system21
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