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 2022-01-01 to 2026-01-01.)

Article	Citations
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes	52
Automate Legibility through Inverse Reinforcement Learning	40
HAG-MTF: Higher-Order Adaptive Generative Graph for Massive Traffic Forecasting in Industry 5.0	36
Adaptive Preferences: Pivoting Through User Complaints	27
Synchronized Trajectory Prediction for Hybrid Multi-agent via Attention-Denoised Endpoint Distribution	24
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks	19
MemIndex: Agentic Event-based Distributed Memory Management for Multi-agent Systems	18
Deceiving LLM through Compositional Instruction with Hidden Attacks	17
Blockchain-Based Efficient Cross-Domain Access Control System for Autonomous Vehicle Data Sharing	12
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles	12
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?	12
Modeling, Replicating, and Predicting Human Behavior: A Survey	10
Piecewise Weighting Function for Collaborative Filtering Recommendation	9
Model Checking of Workflow Nets with Tables and Constraints	9
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management	9
Batch Transaction Processing for Adaptive Sharding Blockchain-Enabled Edge Computing	9
A Framework for Simultaneous Task Allocation and Planning under Uncertainty	9
Autonomic Resource Harvesting in HPC: Control Methods and their Reusability	8
Self-Adaptive Testing in the Field	8
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment	8
Context-Aware Proactive Self-Adaptation: A Two-layer Model Predictive Control Approach	7
LLM-based UAV Path Planning for Autonomous and Adaptive Industry Systems	7
A User Study on Explainable Online Reinforcement Learning for Adaptive Systems	6
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering	6
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction	5

Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources	5
Introduction to ACSOS 2022 Special Issue	5
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society	5
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation	5
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments	4
Adaptive Scheduling of Multimodal Large Language Model in Intelligent Edge Computing	4
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles	4
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement	4
RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method	4
The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving	3
Prosocial Norm Emergence in Multi-agent Systems	3
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV	3
Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation	3
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications	3
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments	3
AdapCP: Collaborative Inference with Adaptive CNN Partition on Distributed Edge Servers	3
Introduction to the Special Issue on Advances in Mobile Multimedia Communications over Edge-based Autonomous Systems: Challenges and Emerging Applications	3
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems	3
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models	2
Adaptive Scheduling of High-Availability Drone Swarms for Congestion Alleviation in Connected Automated Vehicles	2
SEPPDL: A Secure and Efficient Privacy-Preserving Deep Learning Inference Framework for Autonomous Driving	2
Predicting Nonfunctional Requirement Violations in Autonomous Systems	2
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection	2
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments	2
Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis	2
INSYTE: A Classification Framework for Traditional to Agentic AI Systems	2
Factorization-based Attribute Residual Summary for Adaptive Edge-based Autonomous System Security	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-Adaptation in Industry: A Survey	2
Efficient Self-Adaptation through Explanation-Driven White-Box Optimization	1
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks	1
An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems	1
Graph Unlearning System with Subgraph De-Isolation Measures	1
FASDSA: A Flexible Adaptive and Secure Data Sharing Architecture	1
A BDI Task-oriented Agent in Belief Space	1
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers	1
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase	1
NEPTUNE : A Comprehensive Framework for Managing Serverless Functions at the Edge	1
Chameleon Hash based Collaborative Time-Series Data Integrity Monitoring	1
Optimizing Delegation in Collaborative Human-AI Hybrid Teams	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
Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears	1
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters	1
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems	1
Autonomic Computing Rebooted: Taming the Computing Continuum	1
Federated Meta-Learning for Autonomous System in VEC-Enabled ICVs	1
Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol	1
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation	1

Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements