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Engineering and Technology
Austria
2026

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
10819
World Ranking
2852
National Ranking
9

Gernot Plank 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 Gernot Plank 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: 313 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Gernot Plank 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 Gernot Plank 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: 56 D-Index — 72nd percentile

72% 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

  • 2026 - Research.com Engineering and Technology in Austria Leader Award
  • 2025 - Research.com Engineering and Technology in Austria Leader Award

Overview

Gernot Plank is affiliated with the Medical University of Graz in Austria and conducts research primarily in the field of medicine, with a focus on cardiology and cardiovascular medicine. Their work encompasses various subfields including radiology, nuclear medicine and imaging, biomedical engineering, surgery, and neurology.

Their research topics cover multiple aspects of cardiac function and treatment. These topics include:

  • Cardiac electrophysiology and arrhythmias
  • Cardiovascular function and risk factors
  • Cardiac arrhythmias and treatments
  • Cardiac pacing and defibrillation studies
  • ECG monitoring and analysis
  • Atrial fibrillation management and outcomes
  • Elasticity and material modeling

Their recent publications include:

  • The openCARP simulation environment for cardiac electrophysiology, 2021, Computer Methods and Programs in Biomedicine
  • A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs, 2021, Medical Image Analysis
  • A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations, 2020, PLoS ONE
  • Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium, 2020, Journal of Biomechanics
  • Creation and application of virtual patient cohorts of heart models, 2020, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences

Gernot Plank has frequently published in the following venues:

  • Heart Rhythm
  • Zenodo (CERN European Organization for Nuclear Research)
  • Computing in cardiology
  • EP Europace
  • arXiv (Cornell University)

They have collaborated extensively with several co-authors. Frequent collaborators include:

  • Karli Gillette
  • Steven Niederer
  • Christoph M. Augustin
  • Edward J. Vigmond
  • Martin J. Bishop

Best Publications

  • A Novel Rule-Based Algorithm for Assigning Myocardial Fiber Orientation to Computational Heart Models

    J. D. Bayer;R. C. Blake;G. Plank;N. A. Trayanova

  • Solvers for the cardiac bidomain equations.

    E.J. Vigmond;R. Weber dos Santos;A.J. Prassl;M. Deo

  • Computational tools for modeling electrical activity in cardiac tissue

    Edward J Vigmond;Matt Hughes;G Plank;L.Joshua Leon

  • The Swarm Satellite Constellation Application and Research Facility (SCARF) and Swarm data products

    Nils Olsen;Eigil Friis-Christensen;Rune Floberghagen;Patrick Alken;Patrick Alken

  • Verification of cardiac tissue electrophysiology simulators using an N-version benchmark

    Steven Alexander Niederer;Eric Kerfoot;Alan P. Benson;Miguel O. Bernabeu

  • The openCARP simulation environment for cardiac electrophysiology.

    Gernot Plank;Axel Loewe;Aurel Neic;Christoph M. Augustin

  • Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function

    Martin John Bishop;Gernot Plank;Rebecca A.B. Burton;Jurgen E. Schneider

  • Anatomically accurate high resolution modeling of human whole heart electromechanics

    Christoph M. Augustin;Aurel Neic;Manfred Liebmann;Anton J. Prassl

  • Algebraic Multigrid Preconditioner for the Cardiac Bidomain Model

    G. Plank;M. Liebmann;R.W. dos Santos;E.J. Vigmond

  • From mitochondrial ion channels to arrhythmias in the heart: computational techniques to bridge the spatio-temporal scales

    Gernot Plank;Lufang Zhou;Joseph L Greenstein;Sonia Cortassa

  • A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.

    Karli Gillette;Matthias A.F. Gsell;Anton J. Prassl;Elias Karabelas;Elias Karabelas

  • Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model

    Aurel Neic;Fernando Otaviano Campos;Anton J. Prassl;Steven A. Niederer

  • Parallel multigrid preconditioner for the cardiac bidomain model

    R.W. dos Santos;G. Plank;S. Bauer;E.J. Vigmond

  • Automatically Generated, Anatomically Accurate Meshes for Cardiac Electrophysiology Problems

    A.J. Prassl;F. Kickinger;H. Ahammer;V. Grau

  • Mechanistic Inquiry into the Role of Tissue Remodeling in Fibrotic Lesions in Human Atrial Fibrillation

    Kathleen S. McDowell;Fijoy Vadakkumpadan;Robert Blake;Joshua Blauer

  • Image-based models of cardiac structure in health and disease

    Fijoy Vadakkumpadan;Hermenegild Arevalo;Anton J. Prassl;Junjie Chen

  • Three-dimensional models of individual cardiac histoanatomy: tools and challenges.

    Rebecca A.B. Burton;Gernot Plank;Jürgen E. Schneider;Vicente Grau

  • Influence of myocardial fiber/sheet orientations on left ventricular mechanical contraction:

    Thomas Eriksson;Thomas Eriksson;A.J. Prassl;Gernot Plank;Gerhard Holzapfel;Gerhard Holzapfel

  • Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour

    Sander Land;Viatcheslav Gurev;Sander Arens;Christoph M. Augustin

  • Towards predictive modelling of the electrophysiology of the heart

    Edward Vigmond;Fijoy Vadakkumpadan;Viatcheslav Gurev;Hermenegild Arevalo

  • Modeling atrial fiber orientation in patient-specific geometries: a semi-automatic rule-based approach

    Martin W. Krueger;Viktor Schmidt;Catalina Tobón;Frank M. Weber

  • Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies.

    Fijoy Vadakkumpadan;Lukas J. Rantner;Brock Tice;Patrick Boyle

  • Assessment of three numerical solution strategies for gravity field recovery from GOCE satellite gravity gradiometry implemented on a parallel platform

    R. Pail;G. Plank

Frequent Co-Authors

Nicolas P. Smith
Nicolas P. Smith University of Auckland
Reza Razavi
Reza Razavi King's College London
Thomas Eriksson
Thomas Eriksson Chalmers University of Technology
Karl Kunisch
Karl Kunisch University of Graz
Gerhard A. Holzapfel
Gerhard A. Holzapfel Graz University of Technology
Roland Pail
Roland Pail Technical University of Munich
Sanjay K. Prasad
Sanjay K. Prasad National Institutes of Health
Thomas Pock
Thomas Pock Graz University of Technology
Sonia Cortassa
Sonia Cortassa National Institutes of Health
Brian O'Rourke
Brian O'Rourke Johns Hopkins University

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