World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
12762
World Ranking
7153
National Ranking
1941

Patrick E. McSharry publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Patrick E. McSharry sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Patrick E. McSharry D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Patrick E. McSharry sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Patrick E. McSharry is affiliated with Carnegie Mellon University in the United States and has contributed extensively to the field of social sciences, focusing on areas such as economics, epidemiology, and urban transportation. Their research encompasses a diverse range of topics that include COVID-19 epidemiological studies, the impacts of the COVID-19 pandemic, HIV and related health risks, vaccine coverage and hesitancy, as well as poverty, education, and child welfare.

Their main fields of study include economics and econometrics, transportation, modeling and simulation, sociology and political science, and epidemiology. These subfields reflect an interdisciplinary approach to understanding social phenomena and public health challenges.

Patrick E. McSharry has published research in several venues known for disseminating scientific knowledge, with frequent contributions to:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Cogent Economics & Finance
  • Research Square (Research Square)
  • SAIEE Africa Research Journal

Their recent papers include:

  • "Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa," 2021, BMC Medical Research Methodology
  • "A global analysis of the effectiveness of policy responses to COVID-19," 2023, Scientific Reports
  • "Use of Machine Learning Techniques to Create a Credit Score Model for Airtime Loans," 2020, Journal of Risk and Financial Management
  • "Estimating urban GDP growth using nighttime lights and machine learning techniques in data poor environments: The case of South Sudan," 2024, Technological Forecasting and Social Change
  • "The economic cost of conflict: Evidence from South Sudan," 2021, Review of Development Economics

Frequent collaborators of Patrick E. McSharry include Innocent Ngaruye, Edouard Musabanganji, Fabrice Nkurunziza, Richard Kabanda, and Charles K. Mutai. These coauthors have partnered on multiple research projects, contributing to a steady output of cross-disciplinary studies.

The main research topics addressed in their work are:

  • COVID-19 epidemiological studies
  • COVID-19 Pandemic Impacts
  • HIV, Drug Use, Sexual Risk
  • Urban Transport and Accessibility
  • HIV/AIDS Research and Interventions
  • Vaccine Coverage and Hesitancy
  • Poverty, Education, and Child Welfare

Best Publications

  • A dynamical model for generating synthetic electrocardiogram signals

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

  • Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease

    M.A. Little;P.E. McSharry;E.J. Hunter;J. Spielman

  • Advanced Methods And Tools for ECG Data Analysis

    Gari D. Clifford;Francisco Azuaje;Patrick McSharry

  • Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection

    Max A. Little;Patrick E. McSharry;Stephen J. Roberts;Declan A. E. Costello

  • Accurate Telemonitoring of Parkinson's Disease Progression by Noninvasive Speech Tests

    A. Tsanas;M.A. Little;P.E. McSharry;L.O. Ramig

  • Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease

    A. Tsanas;M. A. Little;P. E. McSharry;J. Spielman

  • Short-Term Load Forecasting Methods: An Evaluation Based on European Data

    J.W. Taylor;P.E. McSharry

  • A comparison of univariate methods for forecasting electricity demand up to a day ahead

    James W. Taylor;Lilian M. de Menezes;Patrick E. McSharry

  • Wind Power Density Forecasting Using Ensemble Predictions and Time Series Models

    J.W. Taylor;P.E. McSharry;R. Buizza

  • Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity

    Athanasios Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • Prediction of epileptic seizures: are nonlinear methods relevant?

    Patrick E. McSharry;Leonard A. Smith;Leonard A. Smith;Lionel Tarassenko

  • 2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING

    Thanasis Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • Mathematical and computational techniques to deduce complex biochemical reaction mechanisms.

    E.J. Crampin;S. Schnell;P.E. McSharry

  • Probabilistic forecasts of the magnitude and timing of peak electricity demand

    P.E. McSharry;S. Bouwman;G. Bloemhof

  • Accurate telemonitoring of Parkinson’s disease progression by non-invasive speech tests

    Athanasios Tsanas;Max A. Little;Patrick E. McSharry;Lorraine O. Ramig

  • Better nonlinear models from noisy data: attractors with maximum likelihood

    Patrick E. McSharry;Leonard A. Smith

  • Comparison of predictability of epileptic seizures by a linear and a nonlinear method

    P.E. McSharry;L.A. Smith;L. Tarassenko

  • Nonlinear, Biophysically-Informed Speech Pathology Detection

    M. Little;P. McSharry;I. Moroz;S. Roberts

  • Model-based filtering, compression and classification of the ECG

    GD Clifford;A Shoeb;PE McSharry;BA Janz

  • Reliability diagrams for non-parametric density forecasts of continuous variables: Accounting for serial correlation

    Pierre Pinson;Patrick McSharry;Henrik Madsen

  • Linear and non-linear methods for automatic seizure detection in scalp electro-encephalogram recordings

    Patrick E. McSharry;T. He;Leonard A. Smith;Leonard A. Smith;L. Tarassenko

Frequent Co-Authors

Max A. Little
Max A. Little University of Birmingham
Gari D. Clifford
Gari D. Clifford Emory University
Lionel Tarassenko
Lionel Tarassenko University of Oxford
Stephen J. Roberts
Stephen J. Roberts University of Oxford
John R. Geddes
John R. Geddes University of Oxford
Edmund J. Crampin
Edmund J. Crampin University of Melbourne
Guy M. Goodwin
Guy M. Goodwin University of Oxford
Chengyu Liu
Chengyu Liu Southeast University
Eric Hunter
Eric Hunter Emory University
Antonis Papachristodoulou
Antonis Papachristodoulou University of Oxford

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