World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
55
Citations
21437
World Ranking
2922
National Ranking
881

Louis L. Scharf 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 Louis L. Scharf 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: 346 publications — 83rd percentile

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

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

Louis L. Scharf 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 Louis L. Scharf 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

  • 2016 - Jack S. Kilby Signal Processing Medal For pioneering and sustained contributions to statistical signal processing and its practice.

Overview

Louis L. Scharf is affiliated with Colorado State University in the United States and has contributed extensively to the fields of computer science and engineering. Their research spans various subfields including aerospace engineering, computer networks and communications, signal processing, artificial intelligence, and computer vision and pattern recognition.

The primary focus of Scharf's work includes distributed sensor networks and detection algorithms, radar systems and signal processing, target tracking and data fusion in sensor networks, direction-of-arrival estimation techniques, blind source separation techniques, advanced SAR imaging techniques, and probability and risk models.

Scharf's frequent publication venues include:

  • IEEE Transactions on Signal Processing
  • arXiv (Cornell University)
  • IEEE Open Journal of Signal Processing
  • Signal Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Some notable recent papers by Louis L. Scharf include:

  • "A Unified Theory of Adaptive Subspace Detection Part I: Detector Designs," 2022, IEEE Transactions on Signal Processing
  • "A MIMO Version of the Reed-Yu Detector and Its Connection to the Wilks Lambda and Hotelling T² Statistics," 2020, IEEE Transactions on Signal Processing
  • "Scale-Invariant Subspace Detectors Based on First- and Second-Order Statistical Models," 2020, IEEE Transactions on Signal Processing
  • "Matched Manifold Detection for Group-Invariant Registration and Classification of Images," 2021, IEEE Transactions on Signal Processing
  • "A Unified Theory of Adaptive Subspace Detection Part II: Numerical Examples," 2022, IEEE Transactions on Signal Processing

Frequent co-authors include Danilo Orlando, Ignacio Santamaría, David Ramírez, Margaret Cheney, and Giuseppe Ricci, each collaborating on several research projects and papers.

Louis L. Scharf was awarded the Jack S. Kilby Signal Processing Medal in 2016 for contributions to statistical signal processing and its applications.

Best Publications

  • Statistical signal processing : detection, estimation, and time series analysis

    Louis L. Scharf;Cédric Demeure

  • Initial results in Prony analysis of power system response signals

    J.F. Hauer;C.J. Demeure;L.L. Scharf

  • Matched subspace detectors

    L.L. Scharf;B. Friedlander

  • A multistage representation of the Wiener filter based on orthogonal projections

    J.S. Goldstein;I.S. Reed;L.L. Scharf

  • Sensitivity to Basis Mismatch in Compressed Sensing

    Yuejie Chi;Louis L Scharf;Ali Pezeshki;A Robert Calderbank

  • Adaptive subspace detectors

    S. Kraut;L.L. Scharf;L.T. McWhorter

  • Statistical Signal Processing of Complex-Valued Data: The Theory of Improper and Noncircular Signals

    Peter J. Schreier;Louis L. Scharf

  • The CFAR adaptive subspace detector is a scale-invariant GLRT

    S. Kraut;L.L. Scharf

  • Signal processing applications of oblique projection operators

    R.T. Behrens;L.L. Scharf

  • Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety

    T. Adali;P. J. Schreier;L. L. Scharf

  • Second-order analysis of improper complex random vectors and processes

    P.J. Schreier;L.L. Scharf

  • The adaptive coherence estimator: a uniformly most-powerful-invariant adaptive detection statistic

    S. Kraut;L.L. Scharf;R.W. Butler

  • An algorithm for pole-zero modeling and spectral analysis

    R. Kumaresan;L. Scharf;A. Shaw

  • The SVD and reduced rank signal processing

    Louis L. Scharf

  • Adaptive matched subspace detectors and adaptive coherence estimators

    L.L. Scharf;L.T. McWhorter

  • A new subspace identification algorithm for high-resolution DOA estimation

    M.L. McCloud;L.L. Scharf

  • A Prony method for noisy data: Choosing the signal components and selecting the order in exponential signal models

    R. Kumaresan;D.W. Tufts;L.L. Scharf

  • Rank reduction for modeling stationary signals

    L. Scharf;D. Tufts

  • Interference cancellation in adjoint operators for communication receivers

    Louis Scharf;Steve Shattil

  • Statistical Signal Processing of Complex-Valued Data: Complex random vectors

    Unknown

  • Sensitivity to basis mismatch in compressed sensing

    Yuejie Chi;Ali Pezeshki;Louis Scharf;Robert Calderbank

Frequent Co-Authors

Ignacio Santamaria
Ignacio Santamaria University of Cantabria
Edwin K. P. Chong
Edwin K. P. Chong Colorado State University
Olivier Besson
Olivier Besson National Higher French Institute of Aeronautics and Space
Benjamin Friedlander
Benjamin Friedlander University of California, Santa Cruz
Yuejie Chi
Yuejie Chi Carnegie Mellon University
Wayne Burleson
Wayne Burleson University of Massachusetts Amherst
Liuqing Yang
Liuqing Yang Hong Kong University of Science and Technology
Giuseppe Ricci
Giuseppe Ricci University of Salento
B.D. Van Veen
B.D. Van Veen University of Wisconsin–Madison
Danilo Orlando
Danilo Orlando IEEE Computer Society

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