World's Best Scientists 2026 revealed!
George B. Moody

George B. Moody

D-Index & Metrics

Computer Science

D-Index
51
Citations
34651
World Ranking
5191
National Ranking
2382

George B. Moody 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 George B. Moody 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: 97 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

George B. Moody 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 George B. Moody 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Statistics
  • Artificial intelligence

Database, Electrocardiography, Algorithm, Heart rate and Sleep are his primary areas of study. His research integrates issues of CD-ROM, Software, Clinical Physiology and Medical emergency in his study of Database. His Electrocardiography study frequently draws connections to adjacent fields such as ST segment.

His biological study spans a wide range of topics, including Waveform and QRS complex. His work on Heart rate variability as part of his general Heart rate study is frequently connected to Population, thereby bridging the divide between different branches of science. George B. Moody works mostly in the field of Heart rate variability, limiting it down to topics relating to Cardiology and, in certain cases, Linear regression, as a part of the same area of interest.

His most cited work include:

  • PhysioBank, PhysioToolkit, and PhysioNet Components of a New Research Resource for Complex Physiologic Signals (7509 citations)
  • The impact of the MIT-BIH Arrhythmia Database (1690 citations)
  • Spectral characteristics of heart rate variability before and during postural tilt. Relations to aging and risk of syncope. (472 citations)

What are the main themes of his work throughout his whole career to date?

George B. Moody mainly focuses on Electrocardiography, Cardiology, Internal medicine, Database and Heart rate. The Electrocardiography study combines topics in areas such as QRS complex, Ambulatory, Transient ischemia, ST segment and Algorithm. His Cardiology study combines topics from a wide range of disciplines, such as Intensive care unit, Icu patients and Blood pressure.

His work deals with themes such as Surgery and Data set, which intersect with Internal medicine. His work carried out in the field of Database brings together such families of science as Annotation, Software, Decision support system and Medical record. His work on Heart rate variability as part of general Heart rate research is frequently linked to Physical activity, bridging the gap between disciplines.

He most often published in these fields:

  • Electrocardiography (28.16%)
  • Cardiology (26.21%)
  • Internal medicine (26.21%)

What were the highlights of his more recent work (between 2010-2015)?

  • Software (10.68%)
  • Intensive care medicine (7.77%)
  • Internal medicine (26.21%)

In recent papers he was focusing on the following fields of study:

George B. Moody mostly deals with Software, Intensive care medicine, Internal medicine, Cardiology and Intensive care. He interconnects MATLAB and Data mining in the investigation of issues within Software. His work focuses on many connections between Intensive care medicine and other disciplines, such as Cohort, that overlap with his field of interest in Blood pressure, Heart rate, Sepsis and Clinical significance.

His Internal medicine study incorporates themes from Java, Sample, Mobile computing, Data set and Implementation. While working in this field, George B. Moody studies both Cardiology and Population. George B. Moody interconnects Autoregressive model, Relational database, Snapshot and Complex dynamics in the investigation of issues within Intensive care.

Between 2010 and 2015, his most popular works were:

  • An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave (107 citations)
  • Non-invasive fetal ECG analysis (107 citations)
  • Improving the quality of ECGs collected using mobile phones: The PhysioNet/Computing in Cardiology Challenge 2011 (96 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Statistics
  • Artificial intelligence

His primary areas of study are Data mining, Software, QRS complex, QT interval and Fetal ecg. His Data mining research includes themes of MATLAB, Metadata and Database. His Software research is multidisciplinary, incorporating elements of Test, Open data, Clinical events and Fetal heart rate.

His QRS complex research incorporates elements of Gold standard, Field, Key and Signal processing. George B. Moody integrates Key with Set in his study. His study of Set brings together topics like Sample, Mobile computing, Data set, Implementation and Event.

Best Publications

  • PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.

    Ary L. Goldberger;Luis A. N. Amaral;Leon Glass;Jeffrey M. Hausdorff

  • The impact of the MIT-BIH Arrhythmia Database

    G.B. Moody;R.G. Mark

  • Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.

    Mohammed Saeed;Mauricio Villarroel;Andrew T. Reisner;Gari Clifford;Gari Clifford

  • A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG

    P. Laguna;R.G. Mark;A. Goldberg;G.B. Moody

  • Spectral characteristics of heart rate variability before and during postural tilt. Relations to aging and risk of syncope.

    L A Lipsitz;J Mietus;G B Moody;A L Goldberger

  • The apnea-ECG database

    T. Penzel;G.B. Moody;R.G. Mark;A.L. Goldberger

  • Systematic comparison of different algorithms for apnoea detection based on electrocardiogram recordings.

    T. Penzel;J. McNames;P. de Chazal;B. Raymond

  • Automated de-identification of free-text medical records

    Ishna Neamatullah;Margaret M Douglass;Li-wei H Lehman;Andrew Tomas Reisner

  • The MIT-BIH Arrhythmia Database on CD-ROM and software for use with it

    G.B. Moody;R.G. Mark

  • PhysioNet: a Web-based resource for the study of physiologic signals

    G.B. Moody;R.G. Mark;A.L. Goldberger

  • An open-source algorithm to detect onset of arterial blood pressure pulses

    W. Zong;T. Heldt;G.B. Moody;R.G. Mark

  • The European ST-T database: standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography.

    A. Taddei;G. Distante;M. Emdin;P. Pisani

  • Power spectral density of unevenly sampled data by least-square analysis: performance and application to heart rate signals

    P. Laguna;G.B. Moody;R.G. Mark

  • Derivation of Respiratory Signals from Multi-lead ECGs

    George B. Moody

  • Development of the polysomnographic database on CD‐ROM

    Y. Ichimaru;G.B. Moody

  • A database to support development and evaluation of intelligent intensive care monitoring

    G.B. Moody;R.G. Mark

  • Predicting in-hospital mortality of ICU patients: The PhysioNet/Computing in cardiology challenge 2012

    Ikaro Silva;George Moody;Daniel J Scott;Leo A Celi

  • A robust open-source algorithm to detect onset and duration of QRS complexes

    W. Zong;G.B. Moody;D. Jiang

  • An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave

    Ikaro Silva;George B. Moody

  • Long-term ST database: a reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia.

    F Jager;F Jager;A Taddei;G B Moody;G B Moody;M Emdin

Frequent Co-Authors

Ary L. Goldberger
Ary L. Goldberger Beth Israel Deaconess Medical Center
Gari D. Clifford
Gari D. Clifford Emory University
Michele Emdin
Michele Emdin Sant'Anna School of Advanced Studies
Lewis A. Lipsitz
Lewis A. Lipsitz Harvard Medical School
Atul Malhotra
Atul Malhotra University of California, San Diego
Ryan P. Adams
Ryan P. Adams Princeton University
H. Eugene Stanley
H. Eugene Stanley Boston University

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