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 2022-06-01 to 2026-06-01.)

Article	Citations
DSADA: Detecting Spoofing Attacks in Driver Assistance Systems Using Objects’ Spatial Shapes	68
Adaptive Preferences: Pivoting Through User Complaints	60
HAG-MTF: Higher-Order Adaptive Generative Graph for Massive Traffic Forecasting in Industry 5.0	53
Automate Legibility through Inverse Reinforcement Learning	35
Synchronized Trajectory Prediction for Hybrid Multi-agent via Attention-Denoised Endpoint Distribution	30
Human-Autonomous System Interaction Graphical Notation (HASIGN): How Do We Design for Human-Multi-AGV Interaction in Manufacturing Intralogistics?	28
VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication Networks	23
Introduction to the Special Issue on Artificial Intelligence for Adaptive and Autonomous Cloud/Edge Computing Systems	20
MemIndex: Agentic Event-based Distributed Memory Management for Multi-agent Systems	19
Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles	15
Blockchain-Based Efficient Cross-Domain Access Control System for Autonomous Vehicle Data Sharing	15
Deceiving LLM through Compositional Instruction with Hidden Attacks	15
A Roadmap of Explainable Artificial Intelligence: Explain to Whom, When, What and How?	14
Modeling, Replicating, and Predicting Human Behavior: A Survey	13
Formally Verified Scalable Look Ahead Planning For Cloud Resource Management	12
Who’s Who? LLM-assisted Software Traceability with Architecture Entity Recognition	12
Model Checking of Workflow Nets with Tables and Constraints	11
Batch Transaction Processing for Adaptive Sharding Blockchain-Enabled Edge Computing	10
A Framework for Simultaneous Task Allocation and Planning under Uncertainty	10
Self-Adaptive Testing in the Field	9
Piecewise Weighting Function for Collaborative Filtering Recommendation	9
Autonomic Resource Harvesting in HPC: Control Methods and Their Reusability	9
LLM-based UAV Path Planning for Autonomous and Adaptive Industry Systems	8
A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering	8
Human–machine Teaming with Small Unmanned Aerial Systems in a MAPE-K Environment	8

A User Study on Explainable Online Reinforcement Learning for Adaptive Systems	7
Hierarchical Auto-scaling Policies for Data Stream Processing on Heterogeneous Resources	6
EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation	6
Introduction to ACSOS 2022 Special Issue	6
Introduction to the SEAMS 2024 Special Issue.	6
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction	6
Context-Aware Proactive Self-Adaptation: A Two-Layer Model Predictive Control Approach	6
Fine-grained Tracing for Performance Anomaly Diagnosis of Serverless Functions	6
RS-DRL: Managing Uncertainty in Self-Adaptive Systems Based on a Novel Continuous Deep Reinforcement Learning Method	5
Efficient Resource Allocation for DRL-NOMA Enabled TSIN in Industry 5.0	5
ACM Transactions on Autonomous and Adaptive Systems (ACM TAAS): Editorial Welcome and Update on State of the Journal, Vision and Ongoing Developments	5
LyDRL: Lyapunov-guided Deep Reinforcement Learning for Stable Task Offloading in Connected Autonomous Vehicles	5
A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society	5
Adaptive Industrial Control Systems via IEC 61499 and Runtime Enforcement	4
Prosocial Norm Emergence in Multi-agent Systems	4
Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV	4
E ² P : An Energy Efficient Protocol for Human-Centric UAV-Based Autonomous Systems	4
Introduction to the Special Issue on Advances in Mobile Multimedia Communications over Edge-based Autonomous Systems: Challenges and Emerging Applications	4
StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications	4
Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments	4
Adaptive Scheduling of Multimodal Large Language Model in Intelligent Edge Computing	4
Deep Learning for Effective and Efficient Reduction of Large Adaptation Spaces in Self-adaptive Systems	4
AdapCP: Collaborative Inference with Adaptive CNN Partition on Distributed Edge Servers	4
Calibration-Free Feedforward Temperature Compensation for Wireless Clock Synchronisation	3
Activity Recognition Empowered Autonomic Systems with Generative Artificial Intelligence	3
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments	3
Factorization-based Attribute Residual Summary for Adaptive Edge-based Autonomous System Security	3
Self-Supervised Machine Learning Framework for Online Container Security Attack Detection	3
Bandit Neural Architecture Search for Digital Twin Optimisation: A Scientific Machine Learning Approach	3
The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving	3
MonoFG: Monocular 3D Object Detection with Knowledge Distillation for Human-Centric Autonomous Driving Systems	3
Joint Optimization of Task Offloading Content Caching and Resource Allocation in Vehicular Edge Computing	3
Learning in Cooperative Multiagent Systems Using Cognitive and Machine Models	3
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
Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis	2
Efficient Self-Adaptation through Explanation-Driven White-Box Optimization	2
An Extended Study of the Performance of Flexible Controllers Composed of Micro-controllers	2
INSYTE: A Classification Framework for Traditional to Agentic AI Systems	2
Self-Adaptation in Industry: A Survey	2
Decision Making for Self-Adaptation Based on Partially Observable Satisfaction of Non-Functional Requirements	2
Tabular Reinforcement Learning Methods for Artificial Intelligence Tasks Offloading in Smart Eye-Wears	2
Predicting Nonfunctional Requirement Violations in Autonomous Systems	2
A BDI Task-oriented Agent in Belief Space	2
Faster MIL-based Subgoal Identification for Reinforcement Learning by Tuning Fewer Hyperparameters	2
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation	2
Introduction to the Special Issue on Control of Computing Systems	1
Improving Causal Learning Scalability and Performance using Aggregates and Interventions	1
Autonomic Computing Rebooted: Taming the Computing Continuum	1
Privacy-Preserving Group-by-Aggregation Queries for Data Federation under V2X environment	1

An Architectural Viewpoint for Benefit-Cost-Risk-Aware Decision-Making in Self-Adaptive Systems	1
Evaluate Inference Attacks: Attack and Defense against 2D Semantic Segmentation Models	1
NEPTUNE : A Comprehensive Framework for Managing Serverless Functions at the Edge	1
A Resilient Control Strategy for Train-to-Train Communications under Jamming Attacks	1
IBAQ: Frequency-Domain Backdoor Attack Threatening Autonomous Driving via Quadratic Phase	1
QSTMF: Quantum-Secured Trust Management Framework for VANETs in Web 3.0 and Metaverse	1
Optimizing Delegation in Collaborative Human-AI Hybrid Teams	1
Dynamic System Diversification for Securing Cloud-based IoT Subnetworks	1
FASDSA: A Flexible Adaptive and Secure Data Sharing Architecture	1
GSFL: A Privacy-Preserving Grouping-Split Federated Learning Approach in Resource-Constrained Edge Computing Scenarios	1
Chameleon Hash based Collaborative Time-Series Data Integrity Monitoring	1
Modeling and Analysis of Explanation for Secure Industrial Control Systems	1
A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems	1
Automated Planning for Task-Based Cyber-Physical Systems under Multiple Sources of Uncertainty	1
Introduction to the Special Issue on Trustworthy Security and Privacy-AI Powered Autonomous Driving	1
ACORN+: Adaptive Compression-Reconstruction for Device-Cloud Collaboration Video Services	1
Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol	1
Many-objective Self-adaptation under Model Uncertainty	1
Parley +: Uncertainty Reduction in Self-Adaptive Systems	1
Graph Unlearning System with Subgraph De-Isolation Measures	1
DeFeed: Secure Decentralized Cross-Contract Data Feed in Web 3.0 for Connected Autonomous Vehicles	1
A Unified Framework for Noisy Image Super-Resolution	1
FlePo: GPU Multi-task Scheduling Optimization Framework for Dynamic Scenes	1
Introduction to the Special Issue on Intelligent Applications of Web 3.0 and Metaverse for Connected Autonomous Vehicles	1
Semantic Fusion: Verifiable Alignment in Decentralized Multi-Agent Systems	1
Self-adapting Machine Learning-based Systems via a Probabilistic Model Checking Framework	1
EdgeMart : A Sustainable Networked OTT Economy on the Wireless Edge for Saving Multimedia IP Bandwidth	1
Federated Meta-Learning for Autonomous System in VEC-Enabled ICVs	1
Vehicle Dynamics and Interaction for Trajectory Prediction and Traffic Control	1