World's Best Scientists 2026 revealed!
Joseph M. Reinhardt

Joseph M. Reinhardt

D-Index & Metrics

Computer Science

D-Index
45
Citations
9812
World Ranking
7127
National Ranking
3123

Joseph M. Reinhardt 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 Joseph M. Reinhardt 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: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Joseph M. Reinhardt 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 Joseph M. Reinhardt 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Joseph M. Reinhardt is affiliated with the University of Iowa in the United States and has a primary research focus in the field of Medicine, with a substantial number of publications in Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, and Physiology.

The scientist's recent papers cover a range of topics primarily related to lung imaging, respiratory diseases, and applications of machine learning in medical diagnostics. Notable recent publications include:

  • CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network, 2021, Scientific Reports
  • Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease, 2020, JCI Insight
  • Radiomics for Improved Detection of Chronic Obstructive Pulmonary Disease in Low-Dose and Standard-Dose Chest CT Scans, 2023, Radiology
  • Sex Differences in Airways at Chest CT: Results from the COPDGene Cohort, 2022, Radiology
  • Longitudinal Follow-Up of Participants With Tobacco Exposure and Preserved Spirometry, 2023, JAMA

The frequent co-authors collaborating with Joseph M. Reinhardt include Eric A. Hoffman, Sarah E. Gerard, Gary E. Christensen, Muhammad F. A. Chaudhary, and Surya P. Bhatt.

Research outputs by Reinhardt are often published in several prominent venues, with frequent publications in:

  • American Journal of Respiratory and Critical Care Medicine
  • arXiv (Cornell University)
  • Medical Physics
  • Radiology
  • Scientific Reports

The research spans multiple main topics, notably:

  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Lung Cancer Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Respiratory Support and Mechanisms
  • Advanced Radiotherapy Techniques
  • COVID-19 diagnosis using AI
  • Ultrasound and Hyperthermia Applications

Joseph M. Reinhardt has contributed to book publications, including a title published by Frontiers Media in 2024, named Imaging and Functional Imaging of the Lung.

Best Publications

  • Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images

    S. Hu;E.A. Hoffman;J.M. Reinhardt

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • CT-based geometry analysis and finite element models of the human and ovine bronchial tree

    Merryn H Tawhai;Peter J Hunter;Juerg Tschirren;Joseph M Reinhardt

  • Registration-based estimates of local lung tissue expansion compared to xenon CT measures of specific ventilation.

    Joseph M. Reinhardt;Kai Ding;Kunlin Cao;Gary E. Christensen

  • Segmentation and analysis of the human airway tree from three-dimensional X-ray CT images

    D. Aykac;E.A. Hoffman;G. McLennan;J.M. Reinhardt

  • Automated early detection of diabetic retinopathy.

    Michael D. Abràmoff;Michael D. Abràmoff;Michael D. Abràmoff;Joseph M. Reinhardt;Stephen R. Russell;Stephen R. Russell;James C. Folk;James C. Folk

  • Extraction of Airways From CT (EXACT'09)

    Pechin Lo;Bram van Ginneken;Joseph M. Reinhardt;Tarunashree Yavarna

  • Atlas-driven lung lobe segmentation in volumetric X-ray CT images

    Li Zhang;E.A. Hoffman;J.M. Reinhardt

  • Accurate measurement of intrathoracic airways

    J.M. Reinhardt;N. D'Souza;E.A. Hoffman

  • Three-Dimensional Human Airway Segmentation Methods for Clinical Virtual Bronchoscopy☆

    Atilla P. Kiraly;William E. Higgins;William E. Higgins;Geoffrey McLennan;Eric A. Hoffman

  • Splat Feature Classification With Application to Retinal Hemorrhage Detection in Fundus Images

    Li Tang;M. Niemeijer;J. M. Reinhardt;M. K. Garvin

  • Characterization of the interstitial lung diseases via density-based and texture-based analysis of computed tomography images of lung structure and function.

    Eric A Hoffman;Joseph M Reinhardt;Milan Sonka;Brett A Simon

  • Establishing a normative atlas of the human lung: intersubject warping and registration of volumetric CT images.

    Baojun Li;Gary E. Christensen;Eric A. Hoffman;Geoffrey McLennan

  • Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer‐aided diagnosis (CAD) system

    Lina Arbash Meinel;Alan H. Stolpen;Kevin S. Berbaum;Laurie L. Fajardo

  • Anatomy-Guided Lung Lobe Segmentation in X-Ray CT Images

    S. Ukil;J.M. Reinhardt

  • Treatment planning methods, devices and systems

    Joseph Reinhardt;John Garber;Juerg Tschirren;Milan Sonka

  • Vessel Boundary Delineation on Fundus Images Using Graph-Based Approach

    Xiayu Xu;M Niemeijer;Qi Song;M Sonka

  • 4DCT-based measurement of changes in pulmonary function following a course of radiation therapy

    Kai Ding;John E. Bayouth;John M. Buatti;Gary E. Christensen

  • Rapid prototype patient-specific drill template for cervical pedicle screw placement.

    Brent D Owen;Gary E Christensen;Joseph M Reinhardt;Timothy C Ryken

  • Reproducibility and validity of lung density measures from cardiac CT Scans--The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.

    Eric A. Hoffman;Rui Jiang;Heather Baumhauer;Michael A. Brooks

Frequent Co-Authors

Eric A. Hoffman
Eric A. Hoffman University of Iowa
Gary E. Christensen
Gary E. Christensen University of Iowa
Michael D. Abràmoff
Michael D. Abràmoff University of Iowa
William E. Higgins
William E. Higgins Pennsylvania State University
Milan Sonka
Milan Sonka University of Iowa
Meindert Niemeijer
Meindert Niemeijer Digital Diagnostics Inc.
Mark T. Dransfield
Mark T. Dransfield University of Alabama at Birmingham
Josien P. W. Pluim
Josien P. W. Pluim Eindhoven University of Technology
MeiLan K. Han
MeiLan K. Han University of Michigan–Ann Arbor
John M. Buatti
John M. Buatti University of Iowa

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