OOIR: Observatory of International Research

Papers

(The TQCC of Artificial Intelligence is 7. 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 2022-08-01 to 2026-08-01.)

Article	Citations
Online learning in sequential Bayesian persuasion: Handling unknown priors	135
Polynomial combined first-order rewritings for linear and guarded existential rules	126
Editorial Board	116
Mitigating robust overfitting via self-residual-calibration regularization	113
Editorial Board	79
Primarily about primaries	71
Drawing a map of elections	69
Knowledge-driven profile dynamics	69
Iterative voting with partial preferences	69
Transfer learning for collaborative recommendation with biased and unbiased data	67
A computational model of Ostrom's Institutional Analysis and Development framework	67
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach	66
Defense coordination in security games: Equilibrium analysis and mechanism design	65
Learning MAX-SAT from contextual examples for combinatorial optimisation	62
Weighted EF1 allocations for indivisible chores	57
Epistemic planning: Perspectives on the special issue	54
Multi-objective reinforcement learning for provably incentivising alignment with value systems	53
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error	43
Accurate parameter estimation for safety-critical systems with unmodeled dynamics	39
Partial identifiability and misspecification in inverse reinforcement learning	37
Hyper-heuristics for personnel scheduling domains	37
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems	35
Manipulation and peer mechanisms: A survey	34
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control	32
An α-regret analysis of adversarial bilateral trade	30

SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes	29
No free lunch theorem for privacy-preserving LLM inference	28
Estimating possible causal effects with latent variables via adjustment and novel rule orientation	28
Innovative constraint models for mining frequent and rare association rules using multi-objective optimization	28
Editorial Board	27
Certified reinforcement learning with logic guidance	26
Introduction to open-world AI	26
Settling the score: Portioning with cardinal preferences	25
Approximate weighted model integration on DNF structures	24
Editorial Board	24
Editorial Board	24
Learning optimal contracts with small action spaces	23
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]	21
Contra2: A one-step active learning method for imbalanced graphs	20
Spectral clustering with robust self-learning constraints	20
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding	19
The complexity landscape of claim-augmented argumentation frameworks	19
Temporal inductive path neural network for temporal knowledge graph reasoning	18
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction	18
Editorial Board	18
From statistical relational to neurosymbolic artificial intelligence: A survey	18
Acquiring and modeling abstract commonsense knowledge via conceptualization	17
Lifted action models learning from partial traces	17
Atlas of AI – Book review	17
Is it possible to find the single nearest neighbor of a query in high dimensions?	17
Editorial Board	17
Editorial Board	17
A multi-graph representation for event extraction	16
Unsupervised sentence selection for creating a representative corpus in Turkish: An active learning approach	16
On the disjunctive rational closure of a conditional knowledge base	15
Logical separability of labeled data examples under ontologies	14
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function	14
Multi-excitation projective simulation with a many-body physics-inspired inductive bias	14
Approximating problems in abstract argumentation with graph convolutional networks	14
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games	14
Exploratory machine learning with unknown unknowns	14
Abstracting situation calculus action theories	13
Editorial Board	13
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search	13
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting	13
Gradient-based mixed planning with symbolic and numeric action parameters	13
Sequential model-based diagnosis by systematic search	13
Editorial Board	13
Integrating symbolic reasoning into neural generative models for design generation	13
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness	13
Pandora's box problem with time constraints	12
Syntactic ASP forgetting with forks	12
The notion of Abstraction in Ontology-based Data Management	12
An abstract and structured account of dialectical argument strength	12
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]	12

Environment promoted invariant information learning for graph out-of-distribution generalization	12
Privacy-preserving graph convolution network for federated item recommendation	12
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability	11
Adversarial analysis of similarity-based sign prediction	11
Selection hyper-heuristics can automatically adjust the learning period to optimally solve pseudo-Boolean problems	11
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency	11
Editorial Board	11
Matching papers and reviewers at large conferences	11
One mind, many tongues: A deep dive into language-agnostic knowledge neurons in large language models	11
DEED: DEep Evidential Doctor	11
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning	11
The influence of dimensions on the complexity of computing decision trees	11
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach	11
(Re)Conceptualizing trustworthy AI: A foundation for change	11
Reward-respecting subtasks for model-based reinforcement learning	11
Investigating the properties of neural network representations in reinforcement learning	11
Editorial Board	11
Optimizing the computation of overriding in DL<	11
On the design of truthful mechanisms for the capacitated facility location problem with two and more facilities	11
From monotonic graph neural networks to datalog and back: Expressive power and practical applications	11
Fine-tuning transformers: Vocabulary transfer	11
Argus: Programming with communication protocols in a belief-desire-intention architecture	11
Maximum Likelihood Evidential Reasoning	11
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning	11
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations	11
On measuring inconsistency in graph databases with regular path constraints	11
The complexity of optimizing atomic congestion	10
Learning a fast 3D spectral approach to object segmentation and tracking over space and time	10
Natural language watermarking via paraphraser-based lexical substitution	10
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs	10
Saliency-aware regularized graph neural network	9
Generative models for grid-based and image-based pathfinding	9
Adversarially robust unsupervised domain adaptation	9
Budget-feasible mechanisms for proportionally selecting agents from groups	9
Evolving interpretable decision trees for reinforcement learning	9
Truthful aggregation of budget proposals with proportionality guarantees	9
Taking into account “who said what” in abstract argumentation: Complexity results	9
Integrating multi-armed bandit with local search for MaxSAT	9
Improved metric distortion via threshold approvals	9
Utilitarian distortion with predictions	8
Search-engine-augmented dialogue response generation with cheaply supervised query production	8
Reward (Mis)design for autonomous driving	8
Editorial Board	8
Many-objective problems where crossover is provably essential	8
On the computation of mixed strategies for security games with general defending requirements	8
A tetrachotomy of ontology-mediated queries with a covering axiom	8
Bisimulation between base argumentation and premise-conclusion argumentation	8
Exploring the influence of missing data imputation in group fairness metrics	8
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach	8
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization	8
Knowledge-based strategies for multi-agent teams playing against Nature	8
Multi resource allocation with partial preferences	8
AI-driven transcriptome profile-guided hit molecule generation	7
Entropy estimation via uniformization	7
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming	7
OBDDs, SDDs, and circuits of bounded width: Completeness matters	7
Learning gradient-based mixup with extrapolation toward flatter minima for domain generalization	7
Neural knowledge graph reasoning with relational digraph	7
Editorial Board	7
LAD2025, A constraint-based solver for the subgraph isomorphism problem	7
Data-informed knowledge and strategies	7
Adaptive large-neighbourhood search for optimisation in answer-set programming	7
Relaxed core stability in hedonic games	7
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents	7
An offline risk-aware policy selection method for Bayesian Markov decision processes	7
Privacy preserving solution of DCOPs by mediation	7
Theoretical insights into CycleGAN: Analyzing approximation and estimation errors in unpaired data generation	7
Active legibility in multiagent reinforcement learning	7