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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
19885
World Ranking
1687
National Ranking
93

Medicine

D-Index
83
Citations
23558
World Ranking
15682
National Ranking
1446

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2000 - Fellow of the Royal Academy of Engineering (UK)

Overview

Lionel Tarassenko is affiliated with the University of Oxford in the United Kingdom. Their research contributions span primarily the field of Medicine, with a focus on Surgery, Cardiology and Cardiovascular Medicine, and Biomedical Engineering. Additional subfields include Pulmonary and Respiratory Medicine and Epidemiology.

Their work concentrates on several main topics, such as:

  • Non-Invasive Vital Sign Monitoring
  • Hemodynamic Monitoring and Therapy
  • Healthcare Technology and Patient Monitoring
  • Blood Pressure and Hypertension Studies
  • Heart Rate Variability and Autonomic Control
  • Mobile Health and mHealth Applications
  • Maternal and fetal healthcare

Among their recent papers are:

  • Gestation-Specific Vital Sign Reference Ranges in Pregnancy, 2020, Obstetrics and Gynecology
  • Effect of Self-monitoring of Blood Pressure on Blood Pressure Control in Pregnant Individuals With Chronic or Gestational Hypertension, 2022, JAMA
  • Early risk assessment for COVID-19 patients from emergency department data using machine learning, 2021, Scientific Reports
  • Effect of Self-monitoring of Blood Pressure on Diagnosis of Hypertension During Higher-Risk Pregnancy, 2022, JAMA
  • Pulse arrival time as a surrogate of blood pressure, 2021, Scientific Reports

Frequent co-authors include:

  • Peter Watkinson
  • Shaun Davidson
  • Mirae Harford
  • Carlos Areia
  • Sarah Vollam

Common venues for their publications include:

  • BMJ Open
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Critical Care
  • Physiotherapy

Tarassenko has been recognized as a Fellow of the Royal Academy of Engineering (UK) since 2000.

Best Publications

  • Review: A review of novelty detection

    Marco A. F. Pimentel;David A. Clifton;Lei Clifton;Lionel Tarassenko

  • A dynamical model for generating synthetic electrocardiogram signals

    P.E. McSharry;G.D. Clifford;L. Tarassenko;L.A. Smith

  • Normal ranges of heart rate and respiratory rate in children from birth to 18 years of age: a systematic review of observational studies

    Susannah Fleming;Matthew Thompson;Matthew Thompson;Richard Stevens;Carl Heneghan

  • Logistic Regression-HSMM-Based Heart Sound Segmentation

    David B. Springer;Lionel Tarassenko;Gari D. Clifford

  • Non-contact video-based vital sign monitoring using ambient light and auto-regressive models

    L Tarassenko;M Villarroel;A Guazzi;J Jorge

  • Novelty detection for the identification of masses in mammograms

    L. Tarassenko;P. Hayton;N. Cerneaz;M. Brady

  • Efficacy of self-monitored blood pressure, with or without telemonitoring, for titration of antihypertensive medication (TASMINH4): an unmasked randomised controlled trial

    Richard J McManus;Jonathan Mant;Marloes Franssen;Alecia Nickless

  • A Guide to Neural Computing Applications

    Lionel Tarassenko

  • A review of parametric modelling techniques for EEG analysis

    J. Pardey;S. Roberts;L. Tarassenko

  • Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring

    Christina Orphanidou;Timothy Bonnici;Peter Charlton;David Clifton

  • Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review

    Peter H. Charlton;Drew A. Birrenkott;Timothy Bonnici;Marco A. F. Pimentel

  • Quantifying errors in spectral estimates of HRV due to beat replacement and resampling

    G.D. Clifford;L. Tarassenko

  • An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram

    Peter Harcourt Charlton;Timothy Alexander Bonnici;Timothy Alexander Bonnici;Lionel Tarassenko;David Clifton

  • Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters

    Marco A. F. Pimentel;Alistair E. W. Johnson;Peter H. Charlton;Drew Birrenkott

  • Application of independent component analysis in removing artefacts from the electrocardiogram

    Taigang He;Gari Clifford;Lionel Tarassenko

  • Integrated monitoring and analysis for early warning of patient deterioration

    L Tarassenko;A Hann;D Young

  • Mobile Phone Text Messages to Support Treatment Adherence in Adults with High Blood Pressure (SMS-Text Adherence Support [StAR]): A Single-Blind, Randomized Trial

    Kirsten Bobrow;Andrew J. Farmer;David Springer;Milensu Shanyinde

  • A systematic review of telemedicine interventions to support blood glucose self-monitoring in diabetes.

    A Farmer;O J Gibson;L Tarassenko;A Neil;A Neil

  • A probabilistic resource allocating network for novelty detection

    Stephen Roberts;Lionel Tarassenko

  • Combining measurements from different sensors

    Lionel Tarassenko;Neil William Townsend;James David Price

  • Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE

    Peter Charlton;Tim Bonnici;David Clifton;Lionel Tarassenko

Frequent Co-Authors

David A. Clifton
David A. Clifton University of Oxford
Gari D. Clifford
Gari D. Clifford Emory University
Alan F. Murray
Alan F. Murray University of Edinburgh
Christopher W. Pugh
Christopher W. Pugh University of Oxford
Patrick E. McSharry
Patrick E. McSharry Carnegie Mellon University
Kazem Rahimi
Kazem Rahimi University of Oxford
Stephen J. Roberts
Stephen J. Roberts University of Oxford
Naomi S. Levitt
Naomi S. Levitt University of Cape Town
Carl Heneghan
Carl Heneghan University of Oxford
Richard J McManus
Richard J McManus University of Oxford

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