ISSN: 2168-2194

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IEEE Journal of Biomedical and Health Informatics Q1 Unclaimed

Institute of Electrical and Electronics Engineers Inc. United States

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IEEE Journal of Biomedical and Health Informatics is a journal indexed in SJR in Biotechnology and Health Information Management with an H index of 156. It has an SJR impact factor of 1,964 and it has a best quartile of Q1. It has an SJR impact factor of 1,964.

Type: Journal

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Publication frecuency: -

Categories: Biotechnology (Q1) Computer Science Applications (Q1) Electrical and Electronic Engineering (Q1) Health Informatics (Q1) Health Information Management (Q1)

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Embargoed OA

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Metrics

IEEE Journal of Biomedical and Health Informatics

1,964

SJR Impact factor

156

H Index

683

Total Docs (Last Year)

1339

Total Docs (3 years)

26062

Total Refs

11469

Total Cites (3 years)

1316

Citable Docs (3 years)

7.61

Cites/Doc (2 years)

38.16

Ref/Doc

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Aims and Scope

Best articles by citations

Securing While Sampling in Wireless Body Area Networks With Application to Electrocardiography

Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data

Assessment of Motor Impairments in Early Untreated Parkinson's Disease Patients: The Wearable Electronics Impact

Fall Detection Based on Body Part Tracking Using a Depth Camera

Robust Interbeat Interval and Heart Rate Variability Estimation Method from Various Morphological Features using Wearable Sensors

Automatic Scale Severity Assessment Method in Psoriasis Skin Images Using Local Descriptors

Reliability of Lagged Poincare Plot Parameters in Ultrashort Heart Rate Variability Series: Application on Affective Sounds

Screening for Depression with Retrospectively Harvested Private versus Public Text

Automatic detection of ventilations during mechanical cardiopulmonary resuscitation

Silhouette Orientation Volumes for Efficient Fall Detection in Depth Videos

CR-Unet: A Composite Network for Ovary and Follicle Segmentation in Ultrasound Images

Multiscale Adaptive Basis Function Modeling of Spatiotemporal Vectorcardiogram Signals

SHOW MORE ARTICLES

Real-time detection of compensatory patterns in patients with stroke to reduce compensation during robotic rehabilitation therapy

Volume Preserved Mass-Spring Model with Novel Constraints for Soft Tissue Deformation

An Automated Approach for Kidney Segmentation in Three-Dimensional Ultrasound Images

Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection

Neuroimaging Retrieval via Adaptive Ensemble Manifold Learning for Brain Disease Diagnosis

Automated Analysis and Quantification of Human Mobility Using a Depth Sensor

Supraventricular Tachycardia Classification in the 12-Lead ECG Using Atrial Waves Detection and a Clinically Based Tree Scheme

Robust Methods for Real-Time Diabetic Foot Ulcer Detection and Localization on Mobile Devices

Computational Cardiology

Prediction of Hemodynamic Response to Epinephrine via Model-Based System Identification

The Use of Data Mining Methods for the Prediction of Dementia: Evidence From the English Longitudinal Study of Aging

Characterization of Spatio-Temporal Cardiac Action Potential Variability at Baseline and under beta-Adrenergic Stimulation by Combined Unscented Kalman Filter and Double Greedy Dimension Reduction