OOIR: Observatory of International Research

Papers

(The TQCC of User Modeling and User-Adapted Interaction is 10. 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 2022-06-01 to 2026-06-01.)

Article	Citations
Sandra Carberry, in memoriam	143
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	102
Learner models: design, components, structure, and modelling	69
Recommending on graphs: a comprehensive review from a data perspective	59
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	42
Generalisable sensor-free frustration detection in online learning environments using machine learning	36
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	33
Deep adversarial group recommendation with user feature space separation	29
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	25
Informative representations for forgetting-robust knowledge tracing	25
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	23
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	21
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	20
Preface on the special issue on group recommender systems	18
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	17
User-centered personalized gamification: an umbrella review	17
Preface to the special issue on personalization and adaptation in human–robot interactive communication	17
Gaze-based predictive models of deep reading comprehension	16
Intra-list similarity and human diversity perceptions of recommendations: the details matter	15
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	15
Enhancing user awareness on inferences obtained from fitness trackers data	15
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	13
A novel heterogeneous hypergraph social network recommendation system	13
A context-aware recommender system-based framework for improving cultural experiences	12
Safe, effective and explainable drug recommendation based on medical data integration	11

Digitally nudging users to explore off-profile recommendations: here be dragons	11
A bias detection tree approach for detecting disparities in a recommendation model’s errors	11
Non-binary evaluation of next-basket food recommendation	11
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	10
Fair performance-based user recommendation in eCoaching systems	10