Artificial Intelligence

Papers
(The H4-Index of Artificial Intelligence is 32. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors397
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach368
Knowledge-driven profile dynamics337
Planning-based knowing how: A unified approach277
Primarily about primaries173
Polynomial combined first-order rewritings for linear and guarded existential rules134
Drawing a map of elections119
Mitigating robust overfitting via self-residual-calibration regularization98
Ballooning multi-armed bandits86
Iterative voting with partial preferences80
A computational model of Ostrom's Institutional Analysis and Development framework72
Transfer learning for collaborative recommendation with biased and unbiased data70
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems68
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control65
Epistemic planning: Perspectives on the special issue63
Manipulation and peer mechanisms: A survey57
Defense coordination in security games: Equilibrium analysis and mechanism design50
An α-regret analysis of adversarial bilateral trade49
Hyper-heuristics for personnel scheduling domains47
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes46
The distortion of distributed metric social choice44
Accurate parameter estimation for safety-critical systems with unmodeled dynamics42
An efficient algorithm for counting Markov equivalent DAGs39
Learning MAX-SAT from contextual examples for combinatorial optimisation39
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error38
No free lunch theorem for privacy-preserving LLM inference37
Fair allocation of indivisible goods: Beyond additive valuations37
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems33
Reward is enough33
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction33
Propositional and predicate logics of incomplete information32
End-to-end neural event coreference resolution32
Certified reinforcement learning with logic guidance32
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