World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
11759
World Ranking
1826
National Ranking
587

Alison L. Marsden 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 Alison L. Marsden 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: 325 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Alison L. Marsden 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 Alison L. Marsden 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: 63 D-Index — 83rd percentile

83% 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

  • 2020 - Fellow of American Physical Society (APS) Citation For the development of numerical methods for cardiovascular blood flow simulation and their application to cardiovascular surgery and congenital heart disease
  • 2018 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2018 - SIAM Fellow For contributions to the development and clinical translation of cardiovascular patient-specific modeling, optimization, uncertainty and simulation methodology, and open source software development.

Overview

Alison L. Marsden is affiliated with Stanford University in the United States. Their research is situated primarily within the field of Medicine, with a specific emphasis on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Biomedical Engineering, and Radiology, Nuclear Medicine and Imaging.

Their scholarly output includes a significant number of publications focusing on cardiovascular function and related medical conditions. Key topics addressed in their work include:

  • Cardiovascular Function and Risk Factors
  • Cardiac Valve Diseases and Treatments
  • Aortic Disease and Treatment Approaches
  • Coronary Interventions and Diagnostics
  • Aortic Aneurysm Repair Treatments
  • Congenital Heart Disease Studies
  • Elasticity and Material Modeling

Among recent papers authored or coauthored by this researcher are:

  • "Fluid-structure interaction simulations of patient-specific aortic dissection" (2020), published in Biomechanics and Modeling in Mechanobiology
  • "Spontaneous reversal of stenosis in tissue-engineered vascular grafts" (2020), published in Science Translational Medicine
  • "Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics" (2020), published in Computer Methods in Applied Mechanics and Engineering
  • "Automated generation of 0D and 1D reduced-order models of patient-specific blood flow" (2022), published in International Journal for Numerical Methods in Biomedical Engineering
  • "Beyond CFD: Emerging methodologies for predictive simulation in cardiovascular health and disease" (2023), published in Biophysics Reviews

Frequent collaborators include:

  • Martin R. Pfaller
  • Weiguang Yang
  • Daniel B. Ennis
  • Jason M. Szafron
  • Jay D. Humphrey

Their research has been published repeatedly in several venues, notably:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Computer Methods in Applied Mechanics and Engineering
  • Circulation
  • Cardiovascular Engineering and Technology

Alison L. Marsden has been recognized with several professional distinctions, including being named a Fellow of the American Physical Society (APS) in 2020 for contributions to numerical methods for cardiovascular blood flow simulation and applications in cardiovascular surgery and congenital heart disease.

They were also elected a Fellow of the Indian National Academy of Engineering (INAE) in 2018, and named a SIAM Fellow in 2018 for work on cardiovascular patient-specific modeling, optimization, uncertainty and simulation methodology, as well as open source software development.

Best Publications

  • SimVascular: An Open Source Pipeline for Cardiovascular Simulation

    Adam Updegrove;Nathan M. Wilson;Jameson Merkow;Hongzhi Lan

  • Hypoplastic Left Heart Syndrome : Current Considerations and Expectations

    Jeffrey A. Feinstein;D. Woodrow Benson;Anne M. Dubin;Meryl S. Cohen

  • A comparison of outlet boundary treatments for prevention of backflow divergence with relevance to blood flow simulations

    Mahdi Esmaily Moghadam;Yuri Bazilevs;Tain-Yen Hsia;Irene E. Vignon-Clementel

  • Patient-Specific Multiscale Modeling of Blood Flow for Coronary Artery Bypass Graft Surgery

    Sethuraman Sankaran;Mahdi Esmaily Moghadam;Andrew M. Kahn;Elaine E. Tseng

  • Expert recommendations on the assessment of wall shear stress in human coronary arteries: existing methodologies, technical considerations, and clinical applications

    Frank Gijsen;Yuki Katagiri;Peter Barlis;Peter Barlis;Christos Bourantas;Christos Bourantas

  • Computational fluid–structure interaction: methods and application to a total cavopulmonary connection

    Yuri Bazilevs;M.-C. Hsu;D. J. Benson;S. Sankaran

  • Evaluation of a novel Y-shaped extracardiac Fontan baffle using computational fluid dynamics.

    Alison L. Marsden;Adam J. Bernstein;V. Mohan Reddy;Shawn C. Shadden

  • A modular numerical method for implicit 0D/3D coupling in cardiovascular finite element simulations

    Mahdi Esmaily Moghadam;Irene E. Vignon-Clementel;Richard Figliola;Alison L. Marsden

  • Optimal Aeroacoustic Shape Design Using the Surrogate Management Framework

    Alison L. Marsden;Meng Wang;John E. Dennis;Parviz Moin

  • A Stochastic Collocation Method for Uncertainty Quantification and Propagation in Cardiovascular Simulations

    Sethuraman Sankaran;Alison L. Marsden

  • Effects of exercise and respiration on hemodynamic efficiency in CFD simulations of the total cavopulmonary connection.

    Alison L. Marsden;Irene E. Vignon-Clementel;Frandics P. Chan;Jeffrey A. Feinstein

  • A computational framework for derivative-free optimization of cardiovascular geometries

    Alison L. Marsden;Jeffrey A. Feinstein;Charles A. Taylor

  • Fluid–structure interaction simulations of patient-specific aortic dissection

    Kathrin Bäumler;Vijay Vedula;Anna M Sailer;Jongmin Seo

  • Variability of computational fluid dynamics solutions for pressure and flow in a giant aneurysm: the ASME 2012 Summer Bioengineering Conference CFD Challenge.

    David A. Steinman;Yiemeng Hoi;Paul Fahy;Liam Morris

  • Construction of commutative filters for LES on unstructured meshes

    Alison L. Marsden;Oleg V. Vasilyev;Parviz Moin

  • Trailing-edge noise reduction using derivative-free optimization and large-eddy simulation

    Alison L. Marsden;Meng Wang;J. E. Dennis;Parviz Moin

  • Optimization of Cardiovascular Stent Design Using Computational Fluid Dynamics

    Timothy J. Gundert;Alison L. Marsden;Weiguang Yang;John F. LaDisa

  • Optimization in Cardiovascular Modeling

    Alison L. Marsden

  • Image-based modeling of hemodynamics in coronary artery aneurysms caused by Kawasaki disease.

    Dibyendu Sengupta;Andrew M. Kahn;Jane C. Burns;Jane C. Burns;Sethuraman Sankaran

  • A new preconditioning technique for implicitly coupled multidomain simulations with applications to hemodynamics

    Mahdi Esmaily-Moghadam;Yuri Bazilevs;Alison L. Marsden

  • Shape optimization of pulsatile ventricular assist devices using FSI to minimize thrombotic risk

    C. C. Long;A. L. Marsden;Y. Bazilevs

  • ST and ALE-VMS methods for patient-specific cardiovascular fluid mechanics modeling

    Kenji Takizawa;Yuri Bazilevs;Tayfun E. Tezduyar;Christopher C. Long

  • Fluid---structure interaction simulation of pulsatile ventricular assist devices

    C. C. Long;A. L. Marsden;Y. Bazilevs

Frequent Co-Authors

Yuri Bazilevs
Yuri Bazilevs Brown University
Francesco Migliavacca
Francesco Migliavacca Polytechnic University of Milan
Shawn C. Shadden
Shawn C. Shadden University of California, Berkeley
Jane C. Burns
Jane C. Burns University of California, San Diego
Doff B. McElhinney
Doff B. McElhinney Stanford University
Parviz Moin
Parviz Moin Stanford University
Jay D. Humphrey
Jay D. Humphrey Yale University
John K. Eaton
John K. Eaton Stanford University
Andrew M. Taylor
Andrew M. Taylor University College London
John E. Dennis
John E. Dennis Rice University

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