Artificial Intelligence

Papers
(The H4-Index of Artificial Intelligence is 27. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors234
Editorial Board118
Primarily about primaries112
Drawing a map of elections111
A computational model of Ostrom's Institutional Analysis and Development framework100
Polynomial combined first-order rewritings for linear and guarded existential rules93
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach69
Editorial Board66
Mitigating robust overfitting via self-residual-calibration regularization65
Iterative voting with partial preferences65
Transfer learning for collaborative recommendation with biased and unbiased data61
Knowledge-driven profile dynamics60
The distortion of distributed metric social choice58
No free lunch theorem for privacy-preserving LLM inference56
An α-regret analysis of adversarial bilateral trade54
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control49
Epistemic planning: Perspectives on the special issue48
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error48
Estimating possible causal effects with latent variables via adjustment and novel rule orientation46
Weighted EF1 allocations for indivisible chores37
Learning MAX-SAT from contextual examples for combinatorial optimisation35
Defense coordination in security games: Equilibrium analysis and mechanism design34
Manipulation and peer mechanisms: A survey34
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes32
Hyper-heuristics for personnel scheduling domains28
Accurate parameter estimation for safety-critical systems with unmodeled dynamics28
Multi-objective reinforcement learning for provably incentivising alignment with value systems27
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems27
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