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European Heart Journal - Digital Health
H-index 23

European Heart Journal - Digital Health

2634-3916

Published by: Oxford University Press

https://academic.oup.com/ehjdh

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 1045 170 180 22

Additional Metrics

Number of Best Scientists*: 220
Documents by Best Scientists*: 205
Top 100 Ranked Scientists*: 9
SCIMAGO H-index: 21
SCIMAGO SJR: 1.494
Impact Factor: 4.4

Top Publications

  • Barriers and facilitators of the uptake of digital health technology in cardiovascular care: a systematic scoping review.

    Sera Whitelaw;Danielle M Pellegrini;Mamas A Mamas;Mamas A Mamas;Martin Cowie

    (2021)
    156 Citations
  • ChatGPT takes on the European Exam in Core Cardiology: an artificial intelligence success story?

    (2023)
    86 Citations
  • ESC working group on e-cardiology position paper: use of commercially available wearable technology for heart rate and activity tracking in primary and secondary cardiovascular prevention—in collaboration with the European Heart Rhythm Association, European Association of Preventive Cardiology, Association of Cardiovascular Nursing and Allied Professionals, Patient Forum, and the Digital Health Committee

    Magnus T Jensen;Roderick W Treskes;Enrico G Caiani;Ruben Casado-Arroyo

    (2021)
    64 Citations
  • ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure

    Oguz Akbilgic;Oguz Akbilgic;Liam Butler;Ibrahim Karabayir;Ibrahim Karabayir;Patricia P Chang

    (2021)
    56 Citations
  • Wearable cuffless blood pressure monitoring devices: a systematic review and meta-analysis

    (2022)
    55 Citations
  • The 12-lead electrocardiogram as a biomarker of biological age

    Adetola O Ladejobi;Jose R Medina-Inojosa;Michal Shelly Cohen;Zachi I Attia

    (2021)
    48 Citations
  • Multimodal deep learning enhances diagnostic precision in left ventricular hypertrophy

    (2021)
    47 Citations
  • Applications of artificial intelligence/machine learning approaches in cardiovascular medicine: a systematic review with recommendations

    Sarah Friedrich;Stefan Groß;Inke R König;Sandy Engelhardt

    (2021)
    43 Citations
  • Atrial fibrillation risk prediction from the 12-lead electrocardiogram using digital biomarkers and deep representation learning

    Shany Biton;Sheina Gendelman;Antônio H Ribeiro;Gabriela Miana

    (2021)
    41 Citations
  • ESC Working Group on e-Cardiology Position Paper: accuracy and reliability of electrocardiogram monitoring in the detection of atrial fibrillation in cryptogenic stroke patients

    (2022)
    40 Citations

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Best Scientists Contributing to This Journal

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