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Computer Science
UK
2025

D-Index & Metrics

Medicine

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

Computer Science

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

Lionel Tarassenko publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lionel Tarassenko sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 333 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Lionel Tarassenko D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lionel Tarassenko sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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