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 2021-11-01 to 2025-11-01.)

Article	Citations
Persuasion-enhanced computational argumentative reasoning through argumentation-based persuasive frameworks	105
Influence of Device Performance and Agent Advice on User Trust and Behaviour in a Care-taking Scenario	54
Recommending on graphs: a comprehensive review from a data perspective	51
An adaptive decision-making system supported on user preference predictions for human–robot interactive communication	48
Design, development, and evaluation of an interactive personalized social robot to monitor and coach post-stroke rehabilitation exercises	39
Generalisable sensor-free frustration detection in online learning environments using machine learning	26
Deep adversarial group recommendation with user feature space separation	25
Theory-based habit modeling for enhancing behavior prediction in behavior change support systems	25
Preface to the special issue on conversational recommender systems: theory, models, evaluations, and trends	24
Informative representations for forgetting-robust knowledge tracing	24
Investigating different recommender algorithms in the domain of physical activity recommendations: a longitudinal between-subjects user study	24
Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial	23
Correction: Twenty-Five Years of Bayesian knowledge tracing: a systematic review	21
Preface on the special issue on group recommender systems	20
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation	19
Preface to the special issue on personalization and adaptation in human–robot interactive communication	16
Acknowledgment to reviewers	15
Gaze-based predictive models of deep reading comprehension	15
User-centered personalized gamification: an umbrella review	14
Intra-list similarity and human diversity perceptions of recommendations: the details matter	14
Generating predicate suggestions based on the space of plans: an example of planning with preferences	13
Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners	11
Enhancing user awareness on inferences obtained from fitness trackers data	11
Non-binary evaluation of next-basket food recommendation	10
TriDeepRec: a hybrid deep learning approach to content- and behavior-based recommendation systems	10

Digitally nudging users to explore off-profile recommendations: here be dragons	10
Fair performance-based user recommendation in eCoaching systems	9
A bias detection tree approach for detecting disparities in a recommendation model’s errors	9
Safe, effective and explainable drug recommendation based on medical data integration	8
A human-centered decentralized architecture and recommendation engine in SIoT	8
Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders	8
An adaptive Metalearner-based flow: a tool for reducing anxiety and increasing self-regulation	8
EvoRecSys: Evolutionary framework for health and well-being recommender systems	8
An explainable content-based approach for recommender systems: a case study in journal recommendation for paper submission	8
One size does not fit all: detecting attention in children with autism using machine learning	8