OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Information Systems is 37. 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 2021-08-01 to 2025-08-01.)

Article	Citations
Understanding the “Pathway” Towards a Searcher’s Learning Objective	322
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	322
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	162
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	125
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	102
Graph Co-Attentive Session-based Recommendation	100
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	100
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	82
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	71
Theories of Conversation for Conversational IR	68
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	68
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	68
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	63
DiffuRec: A Diffusion Model for Sequential Recommendation	61
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	61
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	54
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	54
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	53
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	44
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	43
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	42
Revisiting Conversation Discourse for Dialogue Disentanglement	42
Bottlenecked Heterogeneous Graph Contrastive Learning for Robust Recommendation	41
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	41
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	40

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	40
ID-centric Pre-training for Recommendation	39
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	39
Genomics-Enhanced Cancer Risk Prediction for Personalized LLMs-Driven Healthcare Recommender Systems	39
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	39
Bias and Debias in Recommender System: A Survey and Future Directions	38
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction	38
Collaborative Sequential Recommendations via Multi-view GNN-transformers	38
Toward Best Practices for Training Multilingual Dense Retrieval Models	38
A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction	37
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	37
User Profiling Based on Nonlinguistic Audio Data	37
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach	37
A Review Selection Method Based on Consumer Decision Phases in E-commerce	37