Artificial Intelligence

Papers
(The H4-Index of Artificial Intelligence is 31. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
A computational model of Ostrom's Institutional Analysis and Development framework387
Iterative voting with partial preferences352
Ballooning multi-armed bandits326
Mitigating robust overfitting via self-residual-calibration regularization274
Online learning in sequential Bayesian persuasion: Handling unknown priors165
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach154
Knowledge-driven profile dynamics130
Planning-based knowing how: A unified approach112
Primarily about primaries97
Polynomial combined first-order rewritings for linear and guarded existential rules85
“That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems82
Transfer learning for collaborative recommendation with biased and unbiased data78
The distortion of distributed metric social choice70
An efficient algorithm for counting Markov equivalent DAGs67
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control64
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems62
Epistemic planning: Perspectives on the special issue61
Manipulation and peer mechanisms: A survey51
Defense coordination in security games: Equilibrium analysis and mechanism design48
An α-regret analysis of adversarial bilateral trade47
Hyper-heuristics for personnel scheduling domains45
Fair allocation of indivisible goods: Beyond additive valuations44
Learning MAX-SAT from contextual examples for combinatorial optimisation43
Accurate parameter estimation for safety-critical systems with unmodeled dynamics42
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error37
Reward is enough37
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes36
No free lunch theorem for privacy-preserving LLM inference36
Acceptance in incomplete argumentation frameworks35
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction32
Spectral clustering with robust self-learning constraints31
Certified reinforcement learning with logic guidance31
Temporal inductive path neural network for temporal knowledge graph reasoning31
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