World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
47295
World Ranking
3716
National Ranking
1773

Steven Kay 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 Steven Kay 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Steven Kay 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 Steven Kay 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 1989 - IEEE Fellow For contributions to the theory and application of parametric spectral estimation and detection.

Overview

Steven Kay is affiliated with the University of Rhode Island in the United States. Their academic work spans multiple fields, primarily focusing on Engineering, Computer Science, and Physics and Astronomy. Within these fields, their research addresses specialized subfields including Astronomy and Astrophysics, Aerospace Engineering, Signal Processing, Artificial Intelligence, and Electrical and Electronic Engineering.

Their research explores diverse topics such as Astro and Planetary Science, Planetary Science and Exploration, Space Satellite Systems and Control, Direction-of-Arrival Estimation Techniques, Speech and Audio Processing, Radar Systems and Signal Processing, and Neural Networks and Applications.

Steven Kay has contributed several papers to well-known publication venues. Notably, their work appears in IEEE Signal Processing Letters, arXiv (Cornell University), Advances in Space Research, IEEE Transactions on Signal Processing, and IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control.

  • Active debris removal: A review and case study on LEOPARD Phase 0-A mission (2023, Advances in Space Research)
  • Robotic technologies for in-orbit assembly of a large aperture space telescope: A review (2024, Advances in Space Research)
  • Optimal Sparse Sampling for Detection of a Known Signal in Nonwhite Gaussian Noise (2021, IEEE Signal Processing Letters)
  • An Exact Solution for Sparse Sampling for Optimal Detection of Known Signals in Gaussian Noise (2023, IEEE Signal Processing Letters)
  • Nonlinear Dimension Reduction by PDF Estimation (2022, IEEE Transactions on Signal Processing)

The scientist collaborates frequently with several coauthors including Kaushallya Adhikari, Cristina Luna, Angus Cameron, Mithun Poozhiyil, and Manu H. Nair.

Steven Kay was named an IEEE Fellow in 1989 for contributions to the theory and application of parametric spectral estimation and detection.

Best Publications

  • Fundamentals of statistical signal processing: estimation theory

    Steven M. Kay

  • Fundamentals Of Statistical Signal Processing

    Steven M Kay

  • Modern Spectral Estimation: Theory and Application

    Steven M. Kay

  • Spectrum analysis—A modern perspective

    S.M. Kay;S.L. Marple

  • A fast and accurate single frequency estimator

    S. Kay

  • Parameter estimation of chirp signals

    P.M. Djuric;S.M. Kay

  • Fractional Brownian Motion: A Maximum Likelihood Estimator and Its Application to Image Texture

    Torbjorn Lundahl;William J. Ohley;Steven M. Kay;Robert Siffert

  • Digital signal processing for sonar

    W.C. Knight;R.G. Pridham;S.M. Kay

  • Theory of the Stochastic Resonance Effect in Signal Detection—Part II: Variable Detectors

    Hao Chen;P.K. Varshney;S.M. Kay;J.H. Michels

  • Optimal Signal Design for Detection of Gaussian Point Targets in Stationary Gaussian Clutter/Reverberation

    S. Kay

  • Can detectability be improved by adding noise

    S. Kay

  • Toward Optimal Feature Selection in Naive Bayes for Text Categorization

    Bo Tang;Steven Kay;Haibo He

  • On the optimality of the Wigner distribution for detection

    S. Kay;G. Boudreaux-Bartels

  • A Bayesian Classification Approach Using Class-Specific Features for Text Categorization

    Bo Tang;Haibo He;Paul M. Baggenstoss;Steven Kay

  • Noise compensation for autoregressive spectral estimates

    S. Kay

  • The effects of noise on the autoregressive spectral estimator

    S. Kay

  • Waveform Design for Multistatic Radar Detection

    S. Kay

  • Intuitive Probability and Random Processes using MATLAB

    Steven Kay

  • Rethinking biased estimation [Lecture Notes]

    S. Kay;Y.C. Eldar

  • Maximum likelihood parameter estimation of superimposed chirps using Monte Carlo importance sampling

    S. Saha;S.M. Kay

  • Statistically/computationally efficient frequency estimation

    S. Kay

  • Gaussian Random Processes

    Steven M. Kay

Frequent Co-Authors

Haibo He
Haibo He University of Rhode Island
Petar M. Djuric
Petar M. Djuric Stony Brook University
Pramod K. Varshney
Pramod K. Varshney Syracuse University
Muralidhar Rangaswamy
Muralidhar Rangaswamy United States Air Force Research Laboratory
Petre Stoica
Petre Stoica Uppsala University
Ram M. Narayanan
Ram M. Narayanan Pennsylvania State University
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Arye Nehorai
Arye Nehorai Washington University in St. Louis

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