OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Artificial Intelligence Research is 28. 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 2020-11-01 to 2024-11-01.)

Article	Citations
A Survey on the Explainability of Supervised Machine Learning	534
Confident Learning: Estimating Uncertainty in Dataset Labels	303
Mapping the landscape of Artificial Intelligence applications against COVID-19	283
Benchmark and Survey of Automated Machine Learning Frameworks	194
Explainable Deep Learning: A Field Guide for the Uninitiated	141
On the Tractability of SHAP Explanations	92
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges	79
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning	64
Towards Continual Reinforcement Learning: A Review and Perspectives	60
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems	51
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods	47
Game Plan: What AI can do for Football, and What Football can do for AI	46
Classifier Chains: A Review and Perspectives	45
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	45
Efficient Large-Scale Multi-Drone Delivery using Transit Networks	44
Multiobjective Tree-Structured Parzen Estimator	42
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes	42
Survey and Evaluation of Causal Discovery Methods for Time Series	40
The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review	38
A Theoretical Perspective on Hyperdimensional Computing	38
Graph Kernels: A Survey	35
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy	34
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers	33
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	32
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks	32

Deep Reinforcement Learning: A State-of-the-Art Walkthrough	30
QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer	29
Can We Automate Scientific Reviewing?	29
Learning from Disagreement: A Survey	28
Superintelligence Cannot be Contained: Lessons from Computability Theory	28