OOIR: Observatory of International Research

Papers

(The H4-Index of Journal of Artificial Intelligence Research is 25. 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 2020-05-01 to 2024-05-01.)

Article	Citations
A Survey on the Explainability of Supervised Machine Learning	413
Mapping the landscape of Artificial Intelligence applications against COVID-19	269
Confident Learning: Estimating Uncertainty in Dataset Labels	237
Benchmark and Survey of Automated Machine Learning Frameworks	167
Neural Machine Translation: A Review	116
Explainable Deep Learning: A Field Guide for the Uninitiated	108
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges	55
On the Tractability of SHAP Explanations	49
Efficient Large-Scale Multi-Drone Delivery using Transit Networks	39
Game Plan: What AI can do for Football, and What Football can do for AI	37
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning	37
Classifier Chains: A Review and Perspectives	36
A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems	36
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods	36
Towards Continual Reinforcement Learning: A Review and Perspectives	35
Reviewing Autoencoders for Missing Data Imputation: Technical Trends, Applications and Outcomes	31
Multiobjective Tree-Structured Parzen Estimator	30
A Theoretical Perspective on Hyperdimensional Computing	29
Ontology Reasoning with Deep Neural Networks	28
Deep Reinforcement Learning: A State-of-the-Art Walkthrough	28
Survey and Evaluation of Causal Discovery Methods for Time Series	28
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning	27
Graph Kernels: A Survey	27
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	25
Superintelligence Cannot be Contained: Lessons from Computability Theory	25

The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review