OOIR: Observatory of International Research

Papers

(The H4-Index of ACM Transactions on Information Systems is 33. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Editorial Message from the New Editor-in-Chief	300
Graph Co-Attentive Session-based Recommendation	194
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls	141
LkeRec: Toward Lightweight End-to-End Joint Representation Learning for Building Accurate and Effective Recommendation	108
DiffuRec: A Diffusion Model for Sequential Recommendation	97
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph	90
Understanding the “Pathway” Towards a Searcher’s Learning Objective	88
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services	73
Theories of Conversation for Conversational IR	63
Learning from Hierarchical Structure of Knowledge Graph for Recommendation	63
Learning Implicit and Explicit Multi-task Interactions for Information Extraction	63
Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning	61
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks	57
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks	51
User Cold-Start Recommendation via Inductive Heterogeneous Graph Neural Network	50
TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation	48
How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments	47
Review-Enhanced Universal Sequence Representation Learning for Recommender Systems	46
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification	41
CAFE+: Towards Compact, Adaptive, and Fast Embedding for Large-scale Online Recommendation Models	40
SSR: Solving Named Entity Recognition Problems via a Single-stream Reasoner	40
Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval	39
Revisiting Conversation Discourse for Dialogue Disentanglement	38
Efficient and Adaptive Recommendation Unlearning: A Guided Filtering Framework to Erase Outdated Preferences	37
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	37

ID-centric pre-training for recommendation	36
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions	36
H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation	36
Bias and Debias in Recommender System: A Survey and Future Directions	35
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation	35
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems	34
A Revisiting Study of Appropriate Offline Evaluation for Top- N Recommendation Algorithms	33
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network	33
Toward Best Practices for Training Multilingual Dense Retrieval Models	33
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction	33