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Alison L. Marsden

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 63 1826 1739 587 533 325 11759

Alison L. Marsden publications per year

The chart shows the history of publications by Alison L. Marsden between 2001 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Alison L. Marsden published across 26 years, from 2001 to 2026, averaging 17.8 papers a year. Output peaked at 51 publications in 2024. 32 of the 462 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2001 to 2026. Vertical axis: number of publications, 0 to 51. Peak 51 publications in 2024. 2001: 1 publication 2002: 2 publications 2003: 1 publication 2004: 4 publications 2005: 1 publication 2006: 2 publications 2007: 5 publications 2008: 5 publications 2009: 12 publications 2010: 21 publications 2011: 10 publications 2012: 26 publications 2013: 21 publications 2014: 21 publications 2015: 33 publications 2016: 15 publications 2017: 22 publications 2018: 20 publications 2019: 18 publications 2020: 27 publications 2021: 46 publications 2022: 29 publications 2023: 37 publications 2024: 51 publications 2025: 28 publications 2026: 4 publications
2001 2026

462 publications in total across all disciplines

View publications per year as a table
Alison L. Marsden: publications per year, 2001 to 2026
Year Publications
2001 1
2002 2
2003 1
2004 4
2005 1
2006 2
2007 5
2008 5
2009 12
2010 21
2011 10
2012 26
2013 21
2014 21
2015 33
2016 15
2017 22
2018 20
2019 18
2020 27
2021 46
2022 29
2023 37
2024 51
2025 28
2026 4
Total 462
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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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 318–327 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175 325
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 63 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131 63
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

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

External Links

Personal website of Alison L. Marsden

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Best Scientists Citing Alison L. Marsden

Tayfun E. Tezduyar

Tayfun E. Tezduyar

Rice University

Publications: 131

Kenji Takizawa

Kenji Takizawa

Waseda University

Publications: 98

Yuri Bazilevs

Yuri Bazilevs

Brown University

Publications: 59

Ming-Chen Hsu

Ming-Chen Hsu

Iowa State University

Publications: 44

Ajit P. Yoganathan

Ajit P. Yoganathan

Georgia Institute of Technology

Publications: 41

Shawn C. Shadden

Shawn C. Shadden

University of California, Berkeley

Publications: 36

Alfio Quarteroni

Alfio Quarteroni

Polytechnic University of Milan

Publications: 25

Jay D. Humphrey

Jay D. Humphrey

Yale University

Publications: 25

Francesco Migliavacca

Francesco Migliavacca

Polytechnic University of Milan

Publications: 19

Alessandro Veneziani

Alessandro Veneziani

Emory University

Publications: 17

Charles Audet

Charles Audet

Polytechnique Montréal

Publications: 16

Wei Shen

Wei Shen

Johns Hopkins University

Publications: 16

David A. Steinman

David A. Steinman

University of Toronto

Publications: 15

Slawomir Koziel

Slawomir Koziel

Reykjavík University

Publications: 15

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 14

Jean-Frédéric Gerbeau

Jean-Frédéric Gerbeau

French Institute for Research in Computer Science and Automation - INRIA

Publications: 12

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