World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
6569
World Ranking
8311
National Ranking
2299

David L. Neuhoff 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 David L. Neuhoff 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: 208 publications — 51st percentile

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

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

David L. Neuhoff 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 David L. Neuhoff 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: 37 D-Index — 16th percentile

16% 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

  • 1994 - IEEE Fellow For contributions to the theory of universal source coding and asymptotic vector quantization.

Overview

David L. Neuhoff is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on computer science, with specific attention to subfields such as computer vision and pattern recognition, artificial intelligence, management science and operations research, and statistical and nonlinear physics.

The main topics of Neuhoff's work include advanced data compression techniques, algorithms and data compression, advanced image and video retrieval techniques, advanced image processing techniques, generative adversarial networks and image synthesis, image and signal denoising methods, and forecasting techniques and applications.

Neuhoff has authored multiple papers, notable among which are:

  • Hierarchical Lossy Bilevel Image Compression Based on Cutset Sampling, 2020, IEEE Transactions on Image Processing
  • Training and Testing Texture Similarity Metrics for Structurally Lossless Compression, 2024, IEEE Transactions on Image Processing
  • Maximizing Entropy with an Expectation Constraint and One-Parameter Exponential Families of Distributions: A Reexamination, 2024, Foundations and Trends® in Communications and Information Theory

Frequent co-authors of Neuhoff include Thrasyvoulos N. Pappas, Shengxin Zha, Kaixuan Zhang, Zhaochen Shi, and Jana Zujovic.

Neuhoff has published predominantly in the following venues:

  • IEEE Transactions on Image Processing
  • Foundations and Trends® in Communications and Information Theory

In 1994, Neuhoff was recognized as an IEEE Fellow for contributions to the theory of universal source coding and asymptotic vector quantization.

Best Publications

  • Quantization

    Unknown

  • On the many-to-one transport capacity of a dense wireless sensor network and the compressibility of its data

    Daniel Marco;Enrique J. Duarte-Melo;Mingyan Liu;David L. Neuhoff

  • A Generalization of Ornstein's $ar d$ Distance with Applications to Information Theory

    Robert M. Gray;David L. Neuhoff;Paul C. Shields

  • Structural Texture Similarity Metrics for Image Analysis and Retrieval

    Jana Zujovic;T. N. Pappas;D. L. Neuhoff

  • Causal source codes

    D. Neuhoff;R. Gilbert

  • Digital audio compression system

    David J. Anderson;Donghoon Lee;David L. Neuhoff;Omar A. Nemri

  • Asymptotic analysis of optimal fixed-rate uniform scalar quantization

    D. Hui;D.L. Neuhoff

  • Bennett's integral for vector quantizers

    S. Na;D.L. Neuhoff

  • Printer models and error diffusion

    T.N. Pappas;D.L. Neuhoff

  • Fixed rate universal block source coding with a fidelity criterion

    D. Neuhoff;R. Gray;L. Davisson

  • Least-squares model-based halftoning

    Thrasyvoulos N. Pappas;David L. Neuhoff

  • The Viterbi algorithm as an aid in text recognition (Corresp.)

    D. Neuhoff

  • Least-squares model-based halftoning

    T.N. Pappas;D.L. Neuhoff

  • Model-based digital halftoning

    Thrasyvoulos N. Pappas;Jan P. Allebach;David L. Neuhoff

  • The validity of the additive noise model for uniform scalar quantizers

    D. Marco;D.L. Neuhoff

  • Optimal motion vector accuracy for block-based motion-compensated video coders

    Jordi Ribas-Corbera;David L. Neuhoff

  • An analysis of some common scanning techniques for lossless image coding

    N. Memon;D.L. Neuhoff;S. Shende

  • On the support of MSE-optimal, fixed-rate, scalar quantizers

    Sangsin Na;D.L. Neuhoff

  • Reliability vs. efficiency in distributed source coding for field-gathering sensor networks

    Daniel Marco;David L. Neuhoff

  • Model-based halftoning

    Thrasyvoulos N. Pappas;David L. Neuhoff

  • Model-based Halftoning

    T.N. Pappas;N. Seshadri;D.L. Neuhoff

Frequent Co-Authors

Thrasyvoulos N. Pappas
Thrasyvoulos N. Pappas Northwestern University
Mingyan Liu
Mingyan Liu University of Michigan–Ann Arbor
Steven W. McLaughlin
Steven W. McLaughlin Georgia Institute of Technology
Robert M. Gray
Robert M. Gray Stanford University
Wayne E. Stark
Wayne E. Stark University of Michigan–Ann Arbor
Nambirajan Seshadri
Nambirajan Seshadri University of California, San Diego
Nasir Memon
Nasir Memon New York University
Stéphane Roux
Stéphane Roux École Normale Supérieure Paris-Saclay
William A. Sethares
William A. Sethares University of Wisconsin–Madison
David J. Anderson
David J. Anderson University of Michigan–Ann Arbor

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