OOIR: Observatory of International Research

Papers

(The TQCC of AI Magazine is 2. 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
Deep learning for recommender systems: A Netflix case study	51
Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research	29
Explainability in music recommender systems	28
Designing for human–AI complementarity in K‐12 education	24
The third AI summer: AAAI Robert S. Engelmore Memorial Lecture	21
From F to A on the New York Regents Science Exams — An Overview of the Aristo Project	17
Rethinking the Maturity of Artificial Intelligence in Safety‐Critical Settings	16
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems	16
Human‐centered recommender systems: Origins, advances, challenges, and opportunities	15
Know, Know Where, KnowWhereGraph: A densely connected, cross‐domain knowledge graph and geo‐enrichment service stack for applications in environmental intelligence	15
Offline recommender system evaluation: Challenges and new directions	14
Progress in recommender systems research: Crisis? What crisis?	12
Recommender systems: Past, present, future	12
Knowledge graphs to support real‐time flood impact evaluation	11
The Third AI Summer: AAAI Robert S. Engelmore Memorial Lecture	11
The multisided complexity of fairness in recommender systems	10
Building effective recommender systems for tourists	10
Advanced artificial agents intervene in the provision of reward	10
Knowledge Graphs: Introduction, History and, Perspectives	9
Looking Back, Looking Ahead: Symbolic versus Connectionist AI	9
Towards the ultimate brain: Exploring scientific discovery with ChatGPT AI	9
Know, Know Where, Knowwheregraph: A Densely Connected, Cross-Domain Knowledge Graph and Geo-Enrichment Service Stack for Applications in Environmental Intelligence	8
An analysis of Watson vs. BARD vs. ChatGPT: The Jeopardy! Challenge	8
Recommender systems: Trends and frontiers	7
Knowledge graphs: Introduction, history, and perspectives	7

Human‐centered intelligent training for emergency responders	6
Recommendations as treatments	6
Artificial Intelligence and the Future of Work: A Proactive Strategy	6
Using a Machine Learning Tool to Support High‐Stakes Decisions in Child Protection	6
Hybrid forecasting of geopolitical events^†	6
Combating misinformation in the age of LLMs: Opportunities and challenges	6
Decoding human behavior with big data? Critical, constructive input from the decision sciences	5
Recommending news in traditional media companies	5
Towards machines that understand people	4
Toward AI assistants that let designers design	4
Artificial Intelligence for Social Impact: Learning and Planning in the Data‐to‐Deployment Pipeline	4
Artificial intelligence and auditing in small‐ and medium‐sized firms: Expectations and applications	4
Energy forecasting with robust, flexible, and explainable machine learning algorithms	4
Learning causality with graphs	4
Feedback-Based Self-Learning in Large-Scale Conversational AI Agents	4
The return of intelligent textbooks	4
The Promise of AI in an Open Justice System	3
Machine Learning Techniques for Accountability	3
A survey of knowledge‐based sequential decision‐making under uncertainty	3
Trustworthy residual vehicle value prediction for auto finance	3
High‐definition map automatic annotation system based on active learning	3
Conversational Agents for Complex Collaborative Tasks	3
Deploying an Artificial Intelligence‐based defect finder for manufacturing quality management	3
The AI field needs translational Ethical AI research	3
Looking back, looking ahead: Symbolic versus connectionist AI	3
The Association for the Advancement of Artificial Intelligence's New Award for the Societal Benefits of Artificial Intelligence — An Interview with Richard Tong	2
AI‐ALOE: AI for reskilling, upskilling, and workforce development	2
Artificial Intelligence's Grand Challenges: Past, Present, and Future	2
Do We Need a Hippocratic Oath for Artificial Intelligence Scientists?	2
“Minimum Necessary Rigor” in empirically evaluating human–AI work systems	2
Summary report for the third international competition on computational models of argumentation	2
An AI decision‐making framework for business value maximization	2
Prosocial dynamics in multiagent systems	2
Do we need a Hippocratic Oath for artificial intelligence scientists?	2
Exploring the role of simulator fidelity in the safety validation of learning‐enabled autonomous systems	2
The anticipatory paradigm	2
Federated learning‐powered visual object detection for safety monitoring	2
AI Autonomy: Self‐initiated Open‐world Continual Learning and Adaptation	2
Looking back, looking ahead: Strategic initiatives in AI and NSF's AI Institutes Program	2
Visual crowd analysis: Open research problems	2
Feedback‐based self‐learning in large‐scale conversational AI agents	2
The Case Against Registered Reports	2
Decision making in open agent systems	2
Using ChatGPT to produce code for a typical college‐level assignment	2
Conversational recommendation: A grand AI challenge	2
A biomedical open knowledge network harnesses the power of AI to understand deep human biology	2