World's Best Scientists 2026 revealed!
Craig S. Henriquez

Craig S. Henriquez

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
9884
World Ranking
6042
National Ranking
1680

Craig S. Henriquez 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 Craig S. Henriquez 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: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Craig S. Henriquez 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 Craig S. Henriquez 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2008 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Craig S. Henriquez is affiliated with Duke University in the United States. Their research primarily focuses on medicine, with a strong emphasis on cardiology and cardiovascular medicine. The scientist's work extends into several subfields, including cellular and molecular neuroscience, pulmonary and respiratory medicine, molecular biology, and physiology.

Henriquez's research covers a range of topics notable for their interdisciplinary nature. These include:

  • Neuroscience and Neural Engineering
  • Cardiac electrophysiology and arrhythmias
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • CRISPR and Genetic Engineering
  • Neural dynamics and brain function
  • Cardiac Arrhythmias and Treatments
  • Atrial Fibrillation Management and Outcomes

The scientist has contributed to multiple publication venues, particularly in Frontiers in Physiology where they have published five papers. Other frequent outlets include UNC Libraries, Nature Communications, arXiv (Cornell University), and the Journal of Neurophysiology.

Some of the recent papers authored or co-authored by Henriquez highlight their diverse research interests and contributions:

  • "Engineered bacterial voltage-gated sodium channel platform for cardiac gene therapy," 2022, Nature Communications
  • "Excitation properties of computational models of unmyelinated peripheral axons," 2020, Journal of Neurophysiology
  • "Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?", 2021, Frontiers in Physiology
  • "Modeling the effects of sinusoidal stimulation and synaptic plasticity on linked neural oscillators," 2020, Chaos An Interdisciplinary Journal of Nonlinear Science
  • "High-Resolution Measurement of Local Activation Time Differences From Bipolar Electrogram Amplitude," 2021, Frontiers in Physiology

Frequent collaborators in Henriquez's work include Hung Nguyen, Tianyu Wu, Daniel Needs, Nenad Bursac, and Hengji Chen, each contributing to multiple joint publications.

In recognition of their contributions, Henriquez was awarded the title of Fellow of the Indian National Academy of Engineering (INAE) in 2008.

Best Publications

  • Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates

    Jose M Carmena;Mikhail A Lebedev;Roy E Crist;Joseph E O'Doherty

  • Simulating the electrical behavior of cardiac tissue using the bidomain model.

    Henriquez Cs

  • Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface

    Mikhail A. Lebedev;Jose M. Carmena;Joseph E. O'Doherty;Miriam Zacksenhouse

  • Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation

    E. W. Hsu;A. L. Muzikant;Susan A Matulevicius;R. C. Penland

  • Continuous oximetry/capnometry monitoring reveals frequent desaturation and bradypnea during patient-controlled analgesia.

    Frank J. Overdyk;Rickey Carter;Ray R. Maddox;Jarred Callura

  • Anisotropy, fiber curvature, and bath loading effects on activation in thin and thick cardiac tissue preparations: simulations in a three-dimensional bidomain model.

    Craig S. Henriquez;Adam L. Muzikant;Charles K. Smoak

  • Unscented Kalman Filter for Brain-Machine Interfaces

    Zheng Li;Joseph E. O'Doherty;Timothy L. Hanson;Mikhail A. Lebedev

  • Stable ensemble performance with single-neuron variability during reaching movements in primates.

    Jose M Carmena;Mikhail A Lebedev;Craig S Henriquez;Miguel A L Nicolelis

  • Study of unipolar electrogram morphology in a computer model of atrial fibrillation.

    Vincent Jacquemet;Nathalie Virag;Zenichi Ihara;Lam Dang

  • Study of atrial arrhythmias in a computer model based on magnetic resonance images of human atria.

    Nathalie Virag;Vincent Jacquemet;Craig Henriquez;Steeve Zozor

  • Genesis of complex fractionated atrial electrograms in zones of slow conduction: a computer model of microfibrosis.

    Vincent Jacquemet;Craig S. Henriquez

  • Finite element analysis of bioelectric phenomena.

    C E Miller;C S Henriquez

  • Cardiac propagation simulation.

    Andrew E. Pollard;Nigel Hooke;Craig S. Henriquez

  • Electrotonic influences on action potential duration dispersion in small hearts: a simulation study

    Kevin J. Sampson;Craig S. Henriquez

  • Efficient simulation of three-dimensional anisotropic cardiac tissue using an adaptive mesh refinement method

    Elizabeth M. Cherry;Henry S. Greenside;Craig S. Henriquez

  • A Space-Time Adaptive Method for Simulating Complex Cardiac Dynamics

    Elizabeth M. Cherry;Henry S. Greenside;Craig S. Henriquez

  • Using computer models to understand the roles of tissue structure and membrane dynamics in arrhythmogenesis

    C.S. Henriquez;A.A. Papazoglou

  • Influence of dynamic gap junction resistance on impulse propagation in ventricular myocardium: a computer simulation study.

    Alexandra P. Henriquez;Rolf Vogel;Barbara J. Muller-Borer;Craig S. Henriquez

  • Myocardial Fiber Orientation Mapping Using Reduced Encoding Diffusion Tensor Imaging

    Edward W. Hsu;Craig S. Henriquez

  • Modelling cardiac fibroblasts: interactions with myocytes and their impact on impulse propagation.

    Vincent Jacquemet;Craig S. Henriquez

  • Simulation of propagation along a cylindrical bundle of cardiac tissue. II. Results of simulation

    C.S. Henriquez;R. Plonsey

  • Effect of resistive discontinuities on waveshape and velocity in a single cardiac fibre.

    C. S. Henriquez;R. Plonsey

Frequent Co-Authors

Robert Plonsey
Robert Plonsey Duke University
Miguel A. L. Nicolelis
Miguel A. L. Nicolelis Duke University
Silvia Ferrari
Silvia Ferrari Cornell University
Mikhail A. Lebedev
Mikhail A. Lebedev Moscow State University
Jose M. Carmena
Jose M. Carmena University of California, Berkeley
Nenad Bursac
Nenad Bursac Duke University
Warren M. Grill
Warren M. Grill Duke University
Flavio Fröhlich
Flavio Fröhlich University of North Carolina at Chapel Hill
Chris R. Johnson
Chris R. Johnson University of Utah
Monica A. Perez
Monica A. Perez Shirley Ryan AbilityLab

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