World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
7372
World Ranking
6533
National Ranking
1788

Pavlos P. Vlachos 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 Pavlos P. Vlachos 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: 459 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Pavlos P. Vlachos 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 Pavlos P. Vlachos 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Pavlos P. Vlachos is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple disciplines, with a primary focus on Medicine and Engineering. The main fields of study in their work include Medicine, covering 134 publications, and Engineering with 94 publications.

Their work delves into several specialized subfields, such as Cardiology and Cardiovascular Medicine, Biomedical Engineering, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, and Molecular Biology. Key topics frequently addressed in their research are Cardiovascular Function and Risk Factors, Cardiac Valve Diseases and Treatments, Fluid Dynamics and Turbulent Flows, Protein Purification and Stability, Congenital Heart Disease Studies, Microfluidic and Bio-sensing Technologies, and Advanced MRI Techniques and Applications.

Recent published papers by Pavlos P. Vlachos include:

  • A model for a laser-induced cavitation bubble, 2020, International Journal of Multiphase Flow
  • To seal or not to seal: The closure dynamics of a splash curtain, 2020, Physical Review Fluids
  • Performance characterization of spring actuated autoinjector devices for Emgality and Aimovig, 2020, Current Medical Research and Opinion
  • Isogeometric analysis of subcutaneous injection of monoclonal antibodies, 2020, Computer Methods in Applied Mechanics and Engineering
  • Fibronectin-Expressing Mesenchymal Tumor Cells Promote Breast Cancer Metastasis, 2020, Cancers

Frequent co-authors collaborating with Pavlos P. Vlachos include Brett Meyers, Arezoo M. Ardekani, Jiacheng Zhang, Melissa C. Brindise, and Sayantan Bhattacharya.

The researcher regularly publishes in venues such as the International Journal of Pharmaceutics, Circulation, Journal of the American College of Cardiology, Experiments in Fluids, and the 14th International Symposium on Particle Image Velocimetry.

Best Publications

  • Review of Collagen I Hydrogels for Bioengineered Tissue Microenvironments: Characterization of Mechanics, Structure, and Transport

    Elizabeth E. Antoine;Pavlos P. Vlachos;Marissa Nichole Rylander

  • Estimation of uncertainty bounds for individual particle image velocimetry measurements from cross-correlation peak ratio

    John J Charonko;Pavlos P Vlachos;Pavlos P Vlachos

  • Collaborative framework for PIV uncertainty quantification: comparative assessment of methods

    Andrea Sciacchitano;Douglas R Neal;Barton L Smith;Scott O Warner

  • Main results of the 4th International PIV Challenge

    Christian J. Kähler;Tommaso Astarita;Pavlos P. Vlachos;Jun Sakakibara

  • Digital particle image velocimetry (DPIV) robust phase correlation

    Adric Eckstein;Pavlos P Vlachos

  • Flow shear stress regulates endothelial barrier function and expression of angiogenic factors in a 3D microfluidic tumor vascular model

    Cara F Buchanan;Scott S Verbridge;Pavlos P Vlachos;Marissa Nichole Rylander

  • A method for automatic estimation of instantaneous local uncertainty in particle image velocimetry measurements

    Benjamin H. Timmins;Brandon W. Wilson;Barton L. Smith;Pavlos P. Vlachos

  • Assessment of pressure field calculations from particle image velocimetry measurements

    John J Charonko;Cameron V King;Barton L Smith;Pavlos P Vlachos

  • Assessment of advanced windowing techniques for digital particle image velocimetry (DPIV)

    Adric Eckstein;Pavlos P Vlachos

  • Three-dimensional microfluidic collagen hydrogels for investigating flow-mediated tumor-endothelial signaling and vascular organization.

    Cara F. Buchanan;Elizabeth E. Voigt;Christopher S. Szot;Joseph W. Freeman

  • Phase correlation processing for DPIV measurements

    Adric C. Eckstein;John Charonko;Pavlos Vlachos

  • Tunable collagen I hydrogels for engineered physiological tissue micro-environments.

    Elizabeth E. Antoine;Pavlos P. Vlachos;Marissa N. Rylander

  • Vortices Formed on the Mitral Valve Tips Aid Normal Left Ventricular Filling

    John J. Charonko;Rahul Kumar;Kelley Stewart;Kelley Stewart;William C. Little

  • Round gas jets submerged in water

    Chris Weiland;Pavlos P. Vlachos

  • The Effect of Vortex Formation on Left Ventricular Filling and Mitral Valve Efficiency

    Olga Pierrakos;Pavlos P. Vlachos

  • Particle image velocimetry correlation signal-to-noise ratio metrics and measurement uncertainty quantification

    Zhenyu Xue;John J Charonko;Pavlos P Vlachos

  • Improvements on the accuracy of derivative estimation from DPIV velocity measurements

    Ali Etebari;Pavlos P. Vlachos

  • A model for a laser-induced cavitation bubble

    Xiaoxu Zhong;Javad Eshraghi;Pavlos Vlachos;Sadegh Dabiri

  • In Vitro , Time-Resolved PIV Comparison of the Effect of Stent Design on Wall Shear Stress

    John Charonko;Satyaprakash Karri;Jaime Schmieg;Santosh Prabhu

  • Particle image velocimetry (PIV) uncertainty quantification using moment of correlation (MC) plane

    Sayantan Bhattacharya;John J Charonko;Pavlos P Vlachos

  • Improvements on the accuracy of derivative estimation from DPIV velocity measurements

    Unknown

  • B fibers are the best predictors of cardiac activity during Vagus nerve stimulation

    Kurt Y. Qing;Kurt Y. Qing;Kelsey M. Wasilczuk;Matthew P. Ward;Evan H. Phillips

Frequent Co-Authors

William C. Little
William C. Little University of Mississippi Medical Center
Michael Markl
Michael Markl Northwestern University
Suresh V. Garimella
Suresh V. Garimella University of Arizona
Patrick Segers
Patrick Segers Ghent University
Donald J. Leo
Donald J. Leo University of Georgia
Francesco Migliavacca
Francesco Migliavacca Polytechnic University of Milan
Karen A. Thole
Karen A. Thole University of Michigan–Ann Arbor
Rafael V. Davalos
Rafael V. Davalos Virginia Tech
Panayiotis Diplas
Panayiotis Diplas Lehigh University
Roe-Hoan Yoon
Roe-Hoan Yoon Virginia Tech

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