OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Information Systems is 32. 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.)

Article	Citations
Editorial Message from the New Editor-in-Chief	286
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	169
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	132
Graph Co-Attentive Session-based Recommendation	131
Understanding the “Pathway” Towards a Searcher’s Learning Objective	94
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	92
Theories of Conversation for Conversational IR	85
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	84
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	67
DiffuRec: A Diffusion Model for Sequential Recommendation	63
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	62
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	61
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	58
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	55
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	51
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	50
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	49
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	48
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	45
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	43
Revisiting Conversation Discourse for Dialogue Disentanglement	39
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	39
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	37
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	36
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	36

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	36
Bias and Debias in Recommender System: A Survey and Future Directions	35
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	35
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	35
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	33
Toward Best Practices for Training Multilingual Dense Retrieval Models	33
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	33
Listwise Generative Retrieval Models via a Sequential Learning Process	32