OOIR: Observatory of International Research

Papers

(The TQCC of User Modeling and User-Adapted Interaction is 7. 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
Recommending on graphs: a comprehensive review from a data perspective	63
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	62
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	44
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication	42
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	39
Preface to the special issue on fair, accountable, and transparent recommender systems	34
Generalisable sensor-free frustration detection in online learning environments using machine learning	29
Interplay between upsampling and regularization for provider fairness in recommender systems	27
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems	23
Deep adversarial group recommendation with user feature space separation	21
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	20
Informative representations for forgetting-robust knowledge tracing	19
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	17
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	17
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	16
Preface on the special issue on group recommender systems	15
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	14
Preface to the special issue on personalization and adaptation in human–robot interactive communication	14
User-centered personalized gamification: an umbrella review	14
Acknowledgment to reviewers	14
Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study	13
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	12
Gaze-based predictive models of deep reading comprehension	12
Generating predicate suggestions based on the space of plans: an example of planning with preferences	12
Intra-list similarity and human diversity perceptions of recommendations: the details matter	12

Enhancing user awareness on inferences obtained from fitness trackers data	11
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	11
Digitally nudging users to explore off-profile recommendations: here be dragons	10
Safe, effective and explainable drug recommendation based on medical data integration	9
Non-binary evaluation of next-basket food recommendation	9
Improving cold-start recommendations using item-based stereotypes	8
Fair performance-based user recommendation in eCoaching systems	8
EvoRecSys: Evolutionary framework for health and well-being recommender systems	8
Domain-based Latent Personal Analysis and its use for impersonation detection in social media	7
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	7
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	7
A bias detection tree approach for detecting disparities in a recommendation model’s errors	7