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Charles E. Metz

D-Index & Metrics

Engineering and Technology

D-Index
74
Citations
30364
World Ranking
790
National Ranking
272

Charles E. Metz 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 Charles E. Metz 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: 255 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Charles E. Metz 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 Charles E. Metz 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: 74 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Charles E. Metz was affiliated with the University of Chicago in the United States. Their research contributed to the field of medicine, focusing on several specialized subfields including rheumatology, physiology, health toxicology and mutagenesis, general health professions, and health.

Their scientific work addressed a range of topics with multiple publications focusing on lysosomal storage disorders research. Additional areas of study included climate change and health impacts, homelessness and social issues, health disparities and outcomes, cardiovascular health and risk factors, advanced statistical process monitoring, and business process modeling and analysis.

Notable recent publications by Charles E. Metz included the following:

  • Heat-Related Health Risks for People Experiencing Homelessness: A Rapid Review (2025, Journal of Urban Health)
  • Abstract 4144863: Impact of Phone Outreach and In-Person Education on Blood Pressure Control in Black Patients with Severe Hypertension at a Federally Qualified Health Center (FQHC) (2024, Circulation)
  • Statistical Process Control Charts to Improve Health Care: Hypertension Case (2025, AACN Advanced Critical Care)
  • Local immunoglobulin expression in myositis is associated with interferon gamma signaling and correlates with disease activity (2025, bioRxiv (Cold Spring Harbor Laboratory))
  • Molecular modulation in Pompe disease following acute intermittent hypoxia (2025, Physiology)

Throughout their career, they frequently collaborated with several coauthors, including:

  • Camryn Johnson
  • Anna Tharakan
  • Elliot Yoon
  • Bradi B. Granger
  • Angela L. Roger

The venues where Metz published often included:

  • Journal of Urban Health
  • Circulation
  • AACN Advanced Critical Care
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Physiology

Best Publications

  • Basic principles of ROC analysis

    Charles E. Metz

  • ROC methodology in radiologic imaging

    Charles E. Metz

  • Some practical issues of experimental design and data analysis in radiological ROC studies.

    Charles E. Metz

  • Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data

    Charles E. Metz;Benjamin A. Herman;Jong-Her Shen

  • Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method.

    Donald D. Dorfman;Kevin S. Berbaum;Charles E. Metz

  • Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer.

    Yuzheng Wu;M. L. Giger;Kunio Doi;C. J. Vyborny

  • Improvement in radiologists' detection of clustered microcalcifications on mammograms. The potential of computer-aided diagnosis.

    H P Chan;K Doi;C J Vyborny;R A Schmidt

  • A New Approach for Testing the Significance of Differences Between ROC Curves Measured from Correlated Data

    Charles E. Metz;Pu-Lan Wang;Helen B. Kronman

  • Statistical Comparison of Two ROC-curve Estimates Obtained from Partially-paired Datasets

    Charles E. Metz;Benjamin A. Herman;Cheryl A. Roe

  • The exponential Radon transform

    Oleh Tretiak;Charles Metz

  • Improving breast cancer diagnosis with computer-aided diagnosis

    Yulei Jiang;Robert M. Nishikawa;Robert A. Schmidt;Charles E. Metz

  • Receiver operating characteristic analysis: a tool for the quantitative evaluation of observer performance and imaging systems.

    Charles E. Metz

  • A receiver operating characteristic partial area index for highly sensitive diagnostic tests

    Y Jiang;C E Metz;R M Nishikawa

  • ”Proper” binormal ROC curves: theory and maximum-likelihood estimation

    Charles E. Metz;Xiaochuan Pan

  • Malignant and benign clustered microcalcifications: automated feature analysis and classification.

    Y Jiang;R M Nishikawa;D E Wolverton;C E Metz

  • Computerized detection of masses in digital mammograms: analysis of bilateral subtraction images.

    Fang-Fang Yin;Maryellen L. Giger;Kunio Doi;Charles E. Metz

  • Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.

    T Kobayashi;X W Xu;H MacMahon;C E Metz

  • Visual detection and localization of radiographic images.

    Stuart J. Starr;Charles E. Metz;Lee B. Lusted;David J. Goodenough

  • Digital Mammography: ROC Studies of the Effects of Pixel Size and Unsharp-Mask Filtering on the Detection of Subtle Microcalcifications

    Heang Ping Chan;Carl J. Vyborny;Heber MacMahon;Charles E. Metz

  • Statistical significance tests for binormal ROC curves

    Charles E Metz;Helen B Kronman

Frequent Co-Authors

Kunio Doi
Kunio Doi University of Chicago
Maryellen L. Giger
Maryellen L. Giger University of Chicago
Robert M. Nishikawa
Robert M. Nishikawa University of Pittsburgh
Heang Ping Chan
Heang Ping Chan University of Michigan–Ann Arbor
Heber MacMahon
Heber MacMahon University of Chicago
Stephen M. Pizer
Stephen M. Pizer University of North Carolina at Chapel Hill
Xiaochuan Pan
Xiaochuan Pan University of Chicago
Benjamin M. W. Tsui
Benjamin M. W. Tsui Johns Hopkins University
Xiaoping Hu
Xiaoping Hu University of California, Riverside
Wing Hung Wong
Wing Hung Wong Stanford University

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Best Scientists Citing Charles E. Metz

Maryellen L. Giger

Maryellen L. Giger

University of Chicago

Publications: 203

Kunio Doi

Kunio Doi

University of Chicago

Publications: 135

Heang Ping Chan

Heang Ping Chan

University of Michigan–Ann Arbor

Publications: 89

Berkman Sahiner

Berkman Sahiner

United States Food and Drug Administration

Publications: 75

Robert M. Nishikawa

Robert M. Nishikawa

University of Pittsburgh

Publications: 75

Lubomir M. Hadjiiski

Lubomir M. Hadjiiski

University of Michigan–Ann Arbor

Publications: 74

Heber MacMahon

Heber MacMahon

University of Chicago

Publications: 68

Benjamin M. W. Tsui

Benjamin M. W. Tsui

Johns Hopkins University

Publications: 61

Elizabeth A. Krupinski

Elizabeth A. Krupinski

Emory University

Publications: 60

Rangaraj M. Rangayyan

Rangaraj M. Rangayyan

University of Calgary

Publications: 60

Nico Karssemeijer

Nico Karssemeijer

Radboud University

Publications: 58

Xiaochuan Pan

Xiaochuan Pan

University of Chicago

Publications: 55

Mark A. Helvie

Mark A. Helvie

University of Michigan–Ann Arbor

Publications: 52

Harrison H. Barrett

Harrison H. Barrett

University of Arizona

Publications: 51

Nicholas Petrick

Nicholas Petrick

US Food and Drug Administration

Publications: 47

Grant T. Gullberg

Grant T. Gullberg

University of California, San Francisco

Publications: 45

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