Data-Driven Mobile Health: System Identification and Hybrid Model Predictive Control to Deliver Personalized Physical Activity Interventions is a research paper published in IEEE Open Journal of Control Systems (2025). On theSindex it has a DataRank of 0.312. It has been cited 7 times, with 2 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
Repositories this paper deposited data in (declared in PubMed).
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.312
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →National Science Foundation
Grant: IIS-1449751
National Institutes of Health
Grant: R01CA244777
National Institutes of Health
Grant: R01LM013107
National Institutes of Health
Grant: 3R01CA244777-02S1
Optimizing Individualized and Adaptive mHealth Interventions via Control Systems Engineering Methods
National Institutes of Health
Grant: 5R01LM013107-02
SCH: Control Systems Engineering for Counteracting Notification Fatigue: An Examination of Health Behavior Change
National Science Foundation
Grant: 1449751
EAGER: Defining a Dynamical Behavioral Model to Support a Just in Time Adaptive Intervention
FWCI
3.61
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals