OOIR: Observatory of International Research

Papers

(The TQCC of User Modeling and User-Adapted Interaction is 8. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	117
Learner models: design, components, structure, and modelling	61
Recommending on graphs: a comprehensive review from a data perspective	57
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	51
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication	41
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems	30
Generalisable sensor-free frustration detection in online learning environments using machine learning	28
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	25
Deep adversarial group recommendation with user feature space separation	25
Informative representations for forgetting-robust knowledge tracing	25
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	25
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	25
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	22
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	22
Preface on the special issue on group recommender systems	21
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	17
Preface to the special issue on personalization and adaptation in human–robot interactive communication	16
User-centered personalized gamification: an umbrella review	16
Gaze-based predictive models of deep reading comprehension	15
Intra-list similarity and human diversity perceptions of recommendations: the details matter	15
Generating predicate suggestions based on the space of plans: an example of planning with preferences	14
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	13
Enhancing user awareness on inferences obtained from fitness trackers data	13
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	13
A context-aware recommender system-based framework for improving cultural experiences	12

Digitally nudging users to explore off-profile recommendations: here be dragons	11
Non-binary evaluation of next-basket food recommendation	11
A bias detection tree approach for detecting disparities in a recommendation model’s errors	11
Safe, effective and explainable drug recommendation based on medical data integration	10
Fair performance-based user recommendation in eCoaching systems	10
EvoRecSys: Evolutionary framework for health and well-being recommender systems	10
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation	9
Personalized recommendations for learning activities in online environments: a modular rule-based approach	8
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	8
Adapting approaching proxemics of a service robot based on physical user behavior and user feedback	8
One size does not fit all: detecting attention in children with autism using machine learning	8
Exploring the impact of explainable AI and cognitive capabilities on users’ decisions	8
An overview of consensus models for group decision-making and group recommender systems	8
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	8
A human-centered decentralized architecture and recommendation engine in SIoT	8