World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
10878
World Ranking
3009
National Ranking
901

Eric L. Miller 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 Eric L. Miller 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: 382 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Eric L. Miller 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 Eric L. Miller 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: 55 D-Index — 70th percentile

70% 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

  • 2012 - IEEE Fellow For contributions to inverse problems and physics-based signal and image processing

Overview

Eric L. Miller is affiliated with Tufts University in the United States. Their research spans multiple fields of study including Medicine and Agricultural and Biological Sciences. Within these broad areas, they have contributed notably to subfields such as Plant Science, Public Health, Environmental and Occupational Health, Microbiology, Infectious Diseases, and Genetics.

The scientist's research focuses on topics including Streptococcal Infections and Treatments, Microbial infections and disease research, Plant Pathogenic Bacteria Studies, Animal Disease Management and Epidemiology, Antibiotic Resistance in Bacteria, Bacteriophages and microbial interactions, and Evolution and Genetic Dynamics.

Eric L. Miller has published recent papers in several prominent scientific journals. These include:

  • Genome Reduction Is Associated with Bacterial Pathogenicity across Different Scales of Temporal and Ecological Divergence, 2020, Molecular Biology and Evolution
  • Large-scale genomic analysis of antimicrobial resistance in the zoonotic pathogen Streptococcus suis, 2021, BMC Biology
  • The emergence and diversification of a zoonotic pathogen from within the microbiota of intensively farmed pigs, 2023, Proceedings of the National Academy of Sciences
  • In-Feed Tylosin Phosphate Administration to Feedlot Cattle Minimally Affects Antimicrobial Resistance, 2020, Journal of Food Protection
  • Mutation rate dynamics reflect ecological change in an emerging zoonotic pathogen, 2021, PLoS Genetics

The scientist often collaborates with other researchers, with frequent coauthors including Gemma G. R. Murray, Marcelo Gottschalk, Alexander W. Tucker, Lucy A. Weinert, and Nazreen F. Hadjirin.

Eric L. Miller's work is regularly published in venues such as bioRxiv (Cold Spring Harbor Laboratory), Microbial Genomics, Molecular Biology and Evolution, BMC Biology, and the Proceedings of the National Academy of Sciences.

An award received by Eric L. Miller is the IEEE Fellow, awarded in 2012 for contributions to inverse problems and physics-based signal and image processing.

Best Publications

  • Imaging the body with diffuse optical tomography

    D.A. Boas;D.H. Brooks;E.L. Miller;C.A. DiMarzio

  • Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography

    Oguz Semerci;Ning Hao;Misha E. Kilmer;Eric L. Miller

  • A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets

    Oliver Dorn;Eric L Miller;Carey M Rappaport

  • Efficient determination of multiple regularization parameters in a generalized L-curve framework

    Murat Belge;Misha E Kilmer;Eric L Miller

  • Tomographic optical breast imaging guided by three-dimensional mammography

    Ang Li;Eric L. Miller;Misha E. Kilmer;Thomas J. Brukilacchio

  • Nonlocal Means Denoising of ECG Signals

    Brian H. Tracey;Eric L. Miller

  • Wavelet domain image restoration with adaptive edge-preserving regularization

    M. Belge;M.E. Kilmer;E.L. Miller

  • Flexible pH-Sensing Hydrogel Fibers for Epidermal Applications

    Ali Tamayol;Ali Tamayol;Mohsen Akbari;Yael Zilberman;Mattia Comotto;Mattia Comotto

  • Closed-loop control of targeted ultrasound drug delivery across the blood-brain/tumor barriers in a rat glioma model.

    Tao Sun;Yongzhi Zhang;Chanikarn Power;Phillip M Alexander

  • Combined optical and X-ray tomosynthesis breast imaging.

    Qianqian Fang;Juliette Selb;Stefan A. Carp;Gregory Boverman

  • The Mechanical Properties of E. coli Type 1 Pili Measured by Atomic Force Microscopy Techniques

    Eric Miller;Tzintzuni Garcia;Scott Hultgren;Andres F. Oberhauser

  • Effect of supplementing a fibre basal diet with different nitrogen forms on ruminal fermentation and microbial growth in an in vitro semi-continuous culture system (RUSITEC)

    M. D. Carro;E. L. Miller

  • Multiple hypothesis video segmentation from superpixel flows

    Amelio Vazquez-Reina;Shai Avidan;Hanspeter Pfister;Eric Miller

  • Combined Optical Imaging and Mammography of the Healthy Breast: Optical Contrast Derived From Breast Structure and Compression

    Qianqian Fang;S.A. Carp;J. Selb;G. Boverman

  • Reconstructing chromosphere concentration images directly by continuous-wave diffuse optical tomography

    Ang Li;Quan Zhang;Joseph P. Culver;Eric L. Miller

  • A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient

    Richard J Gaudette;Dana H Brooks;Charles A DiMarzio;Misha E Kilmer

  • Hybrid FMT-CT imaging of amyloid-beta plaques in a murine Alzheimer's disease model.

    Damon Hyde;Ruben de Kleine;Sarah A. MacLaurin;Eric L. Miller

  • Parametric Level Set Methods for Inverse Problems

    Alireza Aghasi;Misha Kilmer;Eric L. Miller

  • Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images

    Verena Kaynig;Amelio Vazquez-Reina;Amelio Vazquez-Reina;Seymour Knowles-Barley;Mike Roberts

  • Low cost smart phone diagnostics for food using paper-based colorimetric sensor arrays

    Yu Chen;Guoqing Fu;Yael Zilberman;Weitong Ruan

  • Tensor-based formulation and nuclear norm regularization for multi-energy computed tomography

    Oguz Semerci;Ning Hao;Misha E. Kilmer;Eric L. Miller

Frequent Co-Authors

Carey M. Rappaport
Carey M. Rappaport Northeastern University
David A. Boas
David A. Boas Boston University
Linda M. Abriola
Linda M. Abriola Tufts University
Timothy E. McAlindon
Timothy E. McAlindon Tufts University
Robin O. Cleveland
Robin O. Cleveland University of Oxford
Vasilis Ntziachristos
Vasilis Ntziachristos Technical University of Munich
Charles A. Bouman
Charles A. Bouman Purdue University West Lafayette
Dana H. Brooks
Dana H. Brooks Northeastern University
Hercules Avramopoulos
Hercules Avramopoulos National Technical University of Athens
Tao Sun
Tao Sun University of Virginia

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