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Ioannis A. Kakadiaris

Ioannis A. Kakadiaris

D-Index & Metrics

Computer Science

D-Index
59
Citations
12668
World Ranking
3457
National Ranking
1669

Ioannis A. Kakadiaris publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ioannis A. Kakadiaris sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 364 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ioannis A. Kakadiaris D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ioannis A. Kakadiaris sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Ioannis A. Kakadiaris is affiliated with the University of Houston in the United States, focusing primarily on research in the field of Medicine.

Their studies cover several subfields including Public Health, Environmental and Occupational Health, Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery, and Cardiology and Cardiovascular Medicine.

The main topics addressed in their work include:

  • Ethics and Social Impacts of AI
  • Kawasaki Disease and Coronary Complications
  • COVID-19 Epidemiological Studies
  • Streptococcal Infections and Treatments
  • Artificial Intelligence in Healthcare and Education
  • Cardiovascular Function and Risk Factors
  • Machine Learning in Healthcare

Ioannis A. Kakadiaris has published research papers in notable venues such as:

  • arXiv (Cornell University)
  • Circulation
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • The Annals of Family Medicine
  • Journal of Visualized Experiments

Among their recent publications are:

  • "Competencies for the Use of Artificial Intelligence in Primary Care," 2022, The Annals of Family Medicine
  • "Artificial Intelligence and Family Medicine: Better Together," 2020, Family Medicine
  • "Primary Care Artificial Intelligence: A Branch Hiding in Plain Sight," 2020, The Annals of Family Medicine
  • "Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction," 2024, npj Digital Medicine
  • "What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care," 2024, The Journal of the American Board of Family Medicine

Frequent co-authors collaborating with Ioannis A. Kakadiaris include:

  • Anthony P. Reeves
  • Chenyu Zhang
  • Sabee Molloi
  • Michael V. McConnell
  • David J. Maron

Best Publications

  • Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach

    I.A. Kakadiaris;G. Passalis;G. Toderici;M.N. Murtuza

  • A Review of Human Activity Recognition Methods

    Michalis Vrigkas;Christophoros Nikou;Ioannis A. Kakadiaris

  • Detection of Luminal-Intimal Border and Coronary Wall Enhancement in Intravascular Ultrasound Imaging After Injection of Microbubbles and Simultaneous Sonication With Transthoracic Echocardiography

    Manolis Vavuranakis;Ioannis A. Kakadiaris;Sean M. O’Malley;Christodoulos Stefanadis

  • Three-Dimensional Human Body Model Acquisition from Multiple Views

    Ioannis A. Kakadiaris;Dimitri Metaxas

  • 3D Human pose estimation

    Nikolaos Sarafianos;Bogdan Boteanu;Bogdan Ionescu;Ioannis A. Kakadiaris

  • Model-based estimation of 3D human motion with occlusion based on active multi-viewpoint selection

    I.A. Kakadiaris;D. Metaxas

  • Methods for performing DAF data filtering and padding

    Donald J. Kouri;David K. Hoffman;Ioannis Kakadiaris;Zhuoer Shi

  • End-to-End 3D Face Reconstruction with Deep Neural Networks

    Pengfei Dou;Shishir K. Shah;Ioannis A. Kakadiaris

  • 3D human body model acquisition from multiple views

    I.A. Kakadiaris;D. Metaxas

  • Model-based estimation of 3D human motion

    L. Kakadiaris;D. Metaxas

  • Adversarial Representation Learning for Text-to-Image Matching

    Nikolaos Sarafianos;Xiang Xu;Ioannis Kakadiaris

  • Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition

    G. Passalis;P. Perakis;T. Theoharis;I. A. Kakadiaris

  • Deep Imbalanced Attribute Classification using Visual Attention Aggregation

    Nikolaos Sarafianos;Xiang Xu;Ioannis A. Kakadiaris

  • Scoring method for imaging-based detection of vulnerable patients

    Ioannis A. Kakadiaris;Morteza Naghavi

  • Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.

    Ioannis A. Kakadiaris;Michalis Vrigkas;Albert A. Yen;Tatiana Kuznetsova

  • Computer-aided non-contrast CT-based quantification of pericardial and thoracic fat and their associations with coronary calcium and metabolic syndrome

    Damini Dey;Damini Dey;Nathan D. Wong;Balaji Tamarappoo;Ryo Nakazato

  • Automated left ventricular segmentation in cardiac MRI

    A. Pednekar;U. Kurkure;R. Muthupillai;S. Flamm

  • Standardized evaluation methodology and reference database for evaluating IVUS image segmentation

    Simone Balocco;Carlo Gatta;Francesco Ciompi;Andreas Wahle

  • Vasa vasorum imaging: A new window to the clinical detection of vulnerable atherosclerotic plaques

    Stéphane Carlier;Ioannis A Kakadiaris;Nabil Dib;Manolis Vavuranakis

  • 3D Facial Landmark Detection under Large Yaw and Expression Variations

    P. Perakis;G. Passalis;T. Theoharis;I. A. Kakadiaris

Frequent Co-Authors

Theoharis Theoharis
Theoharis Theoharis Norwegian University of Science and Technology
George Toderici
George Toderici Google (United States)
Tao Ju
Tao Ju Washington University in St. Louis
Gregor Eichele
Gregor Eichele Max Planck Society
Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Wah Chiu
Wah Chiu Stanford University
Christodoulos Stefanadis
Christodoulos Stefanadis National and Kapodistrian University of Athens
Matthew J. Budoff
Matthew J. Budoff UCLA Medical Center
Damini Dey
Damini Dey Cedars-Sinai Medical Center
Daniel S. Berman
Daniel S. Berman Cedars-Sinai Medical Center

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