OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Artificial Intelligence Research is 5. 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
Argumentative Reasoning in ASPIC+ under Incomplete Information	317
Combinatorial Multi-Armed Bandits with Fairness Constraints: An Online Convex Optimization Perspective	227
Optimality Guarantees for Particle Belief Approximation of POMDPs	130
Can We Automate Scientific Reviewing?	122
Practical Parallel Algorithms for Non-Monotone Submodular Maximization	118
Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization	118
Iterative Train Scheduling under Disruption with Maximum Satisfiability	115
Program Synthesis with Best-First Bottom-Up Search	90
Data-Driven Revision of Conditional Norms in Multi-Agent Systems	88
Quantization Aware Factorization for Deep Neural Network Compression	86
Robust Reward Design for Markov Decision Processes	66
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities	60
Uncertainty as a Fairness Measure	59
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation Tasks	56
Composition and Zero-Shot Transfer with Lattice Structures in Reinforcement Learning	50
Certified Knowledge Compilation with Application to Formally Verified Model Counting	49
Strategy Graphs for Influence Diagrams	48
Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training	47
The State of Computer Vision Research in Africa	46
Visually Grounded Models of Spoken Language: A Survey of Datasets, Architectures and Evaluation Techniques	38
CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering	37
Viewpoint: Artificial Intelligence Accidents Waiting to Happen?	36
Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model	34
Domain-Specific Heuristics in Answer Set Programming: A Declarative Non-Monotonic Approach	33
Fairness in Influence Maximization through Randomization	32

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions	32
Low-Rank Representation of Reinforcement Learning Policies	30
Conditional Relative Frequency Distributions with Undefined Observations and Generalized Fuzzy Orthopartitions	29
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge	28
Performative Ethics From Within the Ivory Tower: How CS Practitioners Uphold Systems of Oppression	27
Threshold Treewidth and Hypertree Width	26
Stackelberg Security Games with Contagious Attacks on a Network: Reallocation to the Rescue	26
Evolutionary Dynamics and Phi-Regret Minimization in Games	24
FlexiBERT: Are Current Transformer Architectures too Homogeneous and Rigid?	24
Experimental Design of Extractive Question-Answering Systems: Influence of Error Scores and Answer Length	23
Trustworthy Transfer Learning: A Survey	22
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains	21
The Complexity of Network Satisfaction Problems for Symmetric Relation Algebras with a Flexible Atom	20
Flexible FOND Planning with Explicit Fairness Assumptions	20
On Expected Value Strong Controllability	20
Introduction to the Special Track on Artificial Intelligence and COVID-19	19
Learning to Design Fair and Private Voting Rules	18
Classes of Hard Formulas for QBF Resolution	17
Initialization of Feature Selection Search for Classification	17
AI for All: Identifying AI incidents Related to Diversity and Inclusion	16
Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery	16
Reasoning over Streams of Events with Delayed Effects	15
Learning to Resolve Social Dilemmas: A Survey	15
Expected 1.x Makespan-Optimal Multi-Agent Path Finding on Grid Graphs in Low Polynomial Time	15
Certified Dominance and Symmetry Breaking for Combinatorial Optimisation	15
Finite Materialisability of Datalog Programs with Metric Temporal Operators	14
Methods for Recovering Conditional Independence Graphs: A Survey	14
Boolean Observation Games	14
On the Convergence of Swap Dynamics to Pareto-Optimal Matchings	14
Predicting Decisions in Language Based Persuasion Games	13
Estimating Agent Skill in Continuous Action Domains	13
Incremental Learning Methodologies for Addressing Catastrophic Forgetting: Analysis and Experimental Evaluation	13
Ordinal Maximin Share Approximation for Goods	13
Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning	13
Digraph k-Coloring Games: New Algorithms and Experiments	13
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?	12
SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits	12
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations	12
MRC and Transfer Learning Framework for Document-level Event Factuality Identification with Heterogeneous Spectral Attention Networks	12
A Survey on Data Selection for LLM Instruction Tuning	12
Diagnosing AI Explanation Methods with Folk Concepts of Behavior	12
Proof Theory and Decision Procedures for Deontic STIT Logics	12
Proactive Dynamic Distributed Constraint Optimization Problems	12
On the Indecisiveness of Kelly-Strategyproof Social Choice Functions	11
Impact of Imputation Strategies on Fairness in Machine Learning	11
Detecting AI-Generated Text: Factors Influencing Detectability with Current Methods	10
A Markov Framework for Learning and Reasoning About Strategies in Professional Soccer	10
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges	10
Towards an Ontology-Driven Approach to Document Bias	10
Policy-based Primal-Dual Methods for Concave CMDP with Variance Reduction	10

Fair Influence Maximization in Large-scale Social Networks Based on Attribute-aware Reverse Influence Sampling	10
Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification	10
Exploiting Functional Constraints in Automatic Dominance Breaking for Constraint Optimization	10
CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization	10
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems	9
Maximisation of Admissible Multi-Objective Heuristics	9
Towards Generalist Robot Learning from Internet Video: A Survey	9
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities	9
Robust Control for Dynamical Systems with Non-Gaussian Noise via Formal Abstractions	9
On the Evaluation of (Meta-)solver Approaches	9
From Single-Objective to Bi-Objective Maximum Satisfiability Solving	9
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems	9
Adversarial Framework with Certified Robustness for Time-Series Domain via Statistical Features	9
An Oracle-Guided Approach to Constrained Policy Synthesis Under Uncertainty	8
TOOLTANGO: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis	8
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation	8
MA-LAMA: Exploiting the Multi-Agent Nature of Temporal Planning Problems	8
Finding and Recognizing Popular Coalition Structures	8
Non-Crossing Anonymous MAPF for Tethered Robots	8
On the Parallel Parameterized Complexity of MaxSAT Variants	8
A Principled Distributional Approach to Trajectory Similarity Measurement and its Application to Anomaly Detection	8
Qualitative Reasoning about 2D Cardinal Directions using Answer Set Programming	8
Doubly Robust Crowdsourcing	7
Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks	7
How to Tell Easy from Hard: Complexities of Conjunctive Query Entailment in Extensions of ALC	7
Inductive Logic Programming At 30: A New Introduction	7
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning	7
Core Challenges in Embodied Vision-Language Planning	7
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management	6
Joint Optimization of Concave Scalarized Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm	6
Prediction of Social Dynamic Agents and Long-Tailed Learning Challenges: A Survey	6
Automatically Finding the Right Probabilities in Bayesian Networks	6
On Dynamics in Structured Argumentation Formalisms	6
The Complexity of Subelection Isomorphism Problems	6
Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation	6
The Complexity of Matching Games: A Survey	6
Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation	6
Improving Mutual Information Based Feature Selection by Boosting Unique Relevance	5
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach	5
Amortized Variational Inference: A Systematic Review	5
Mixed Fair Division: A Survey	5
Neural Character-Level Syntactic Parsing for Chinese	5
Forgetting in Abstract Argumentation: Limits and Possibilities	5
Actor Prioritized Experience Replay	5
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models	5
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks	5
Computational Machine Ethics: A Survey	5
An Algorithm with Improved Complexity for Pebble Motion/Multi-Agent Path Finding on Trees	5
Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities	5
LabelCoRank: Revolutionizing Long Tail Multi-Label Classification with Co-Occurrence Reranking	5