OOIR: Observatory of International Research

Papers

(The median citation count of ACM Transactions on Autonomous and Adaptive Systems is 1. 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 2021-11-01 to 2025-11-01.)

Article	Citations
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes	39
Automate Legibility through Inverse Reinforcement Learning	37
Adaptive Preferences: Pivoting Through User Complaints	25
HAG-MTF: Higher-Order Adaptive Generative Graph for Massive Traffic Forecasting in Industry 5.0	24
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks	23
Deceiving LLM through Compositional Instruction with Hidden Attacks	16
Synchronized Trajectory Prediction for Hybrid Multi-agent via Attention-Denoised Endpoint Distribution	16
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles	14
Assured Mission Adaptation of UAVs	11
Modeling, Replicating, and Predicting Human Behavior: A Survey	10
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?	10
Blockchain-Based Efficient Cross-Domain Access Control System for Autonomous Vehicle Data Sharing	9
Piecewise Weighting Function for Collaborative Filtering Recommendation	8
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management	8
Batch Transaction Processing for Adaptive Sharding Blockchain-Enabled Edge Computing	7
Model Checking of Workflow Nets with Tables and Constraints	7
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment	6
A Framework for Simultaneous Task Allocation and Planning under Uncertainty	6
Context-Aware Proactive Self-Adaptation: A Two-layer Model Predictive Control Approach	6
Autonomic Resource Harvesting in HPC: Control Methods and their Reusability	6
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation	6
Self-Adaptive Testing in the Field	6
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering	5
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources	5
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems	5

A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society	4
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments	4
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction	4
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications	4
Introduction to ACSOS 2022 Special Issue	4
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles	4
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems	3
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement	3
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV	3
Prosocial Norm Emergence in Multi-agent Systems	3
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments	3
Special Issue on Advances in Mobile Multimedia Communications over Edge-based Autonomous Systems: Challenges and Emerging Applications	3
The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving	2
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models	2
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments	2
Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation	2
Factorization-based Attribute Residual Summary for Adaptive Edge-based Autonomous System Security	2
Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles	2
INSYTE: A Classification Framework for Traditional to Agentic AI Systems	2
AdapCP: Collaborative Inference with Adaptive CNN Partition on Distributed Edge Servers	2
MonoFG: Monocular 3D Object Detection with Knowledge Distillation for Human-Centric Autonomous Driving Systems	2
Joint Optimization of Task Offloading Content Caching and Resource Allocation in Vehicular Edge Computing	2
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection	2
SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving	1
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements	1
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems	1
Many-objective Self-adaptation under Model Uncertainty	1
Graph Unlearning System with Subgraph De-Isolation Measures	1
Autonomic Computing Rebooted: Taming the Computing Continuum	1
Chameleon Hash based Collaborative Time-Series Data Integrity Monitoring	1
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters	1
Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears	1
A BDI Task-oriented Agent in Belief Space	1
Predicting Nonfunctional Requirement Violations in Autonomous Systems	1
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase	1
A Resilient Control Strategy for Train-to-Train Communications under Jamming Attacks	1
FASDSA: A Flexible Adaptive and Secure Data Sharing Architecture	1
EdgeMart : A Sustainable Networked OTT Economy on the Wireless Edge for Saving Multimedia IP Bandwidth	1
NEPTUNE : A Comprehensive Framework for Managing Serverless Functions at the Edge	1
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers	1
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation	1
Self-Adaptation in Industry: A Survey	1
Efficient Self-Adaptation through Explanation-Driven White-Box Optimization	1
HAMLET: A Hierarchical Agent-based Machine Learning Platform	1
Automated Planning for Task-Based Cyber-Physical Systems under Multiple Sources of Uncertainty	1
Optimizing Delegation in Collaborative Human-AI Hybrid Teams	1
An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems	1
Introduction to the Special Issue on Intelligent Applications of Web 3.0 and Metaverse for Connected Autonomous Vehicles	1
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework	1
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks	1

Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis