World's Best Scientists 2026 revealed!
JMIR Cardio
H-index 11

JMIR Cardio

2561-1011

Published by: JMIR Publications

https://cardio.jmir.org/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 2672 38 40 8

Additional Metrics

Number of Best Scientists*: 73
Documents by Best Scientists*: 65
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 21
SCIMAGO SJR: 0.792
Impact Factor: 2.2

Top Publications

  • The Use of Mobile Apps for Heart Failure Self-management: Systematic Review of Experimental and Qualitative Studies

    (2022)
    35 Citations
  • Factors Affecting Patient and Physician Engagement in Remote Health Care for Heart Failure: Systematic Review

    (2021)
    24 Citations
  • The Added Value of In-Hospital Tracking of the Efficacy of Decongestion Therapy and Prognostic Value of a Wearable Thoracic Impedance Sensor in Acutely Decompensated Heart Failure With Volume Overload: Prospective Cohort Study.

    Christophe J P Smeets;Seulki Lee;Willemijn Groenendaal;Gabriel Squillace

    (2020)
    20 Citations
  • Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

    Anietie U Andy;Sharath C Guntuku;Sharath C Guntuku;Srinath Adusumalli;David A Asch;David A Asch

    (2021)
    19 Citations
  • Google Trends Insights Into Reduced Acute Coronary Syndrome Admissions During the COVID-19 Pandemic: Infodemiology Study.

    Conor Senecal;Rajiv Gulati;Amir Lerman

    (2020)
    18 Citations
  • Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease–Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review

    (2022)
    15 Citations
  • Moderation of the Stressor-Strain Process in Interns by Heart Rate Variability Measured With a Wearable and Smartphone App: Within-Subject Design Using Continuous Monitoring.

    Herman de Vries;Herman de Vries;Wim Kamphuis;Hilbrand Oldenhuis;Cees van der Schans;Cees van der Schans

    (2021)
    11 Citations
  • Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

    (2023)
    8 Citations
  • Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study

    (2023)
    8 Citations
  • The impact of a smartphone enabled application on participation in cardiac rehabilitation and understanding barriers to success: a comparative cohort study. (Preprint)

    John T Rivers;Carla Smith;Ian Smith;James Cameron

    (2020)
    7 Citations

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