World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
16528
World Ranking
3575
National Ranking
1718

K. C. Ho 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 K. C. Ho 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: 276 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

K. C. Ho 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 K. C. Ho 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

K. C. Ho is affiliated with the University of Missouri in the United States and has an extensive research record primarily spanning engineering and computer science fields. Their work addresses multiple subfields, including electrical and electronic engineering, artificial intelligence, aerospace engineering, signal processing, and computer networks and communications.

The scientist has published extensively on topics related to indoor and outdoor localization technologies, with a strong focus on target tracking and data fusion in sensor networks. Their research also covers underwater vehicles and communication systems, speech and audio processing, robotics and sensor-based localization, distributed sensor networks and detection algorithms, and sparse and compressive sensing techniques.

Frequent collaborators in their body of work include Gang Wang, Yimao Sun, Lei Huang, Xiaochuan Ke, and Hongwei Liu, reflecting ongoing research partnerships that contribute to a substantial volume of publications.

K. C. Ho's publication record includes numerous articles in reputable venues. They have contributed 20 papers to the IEEE Transactions on Signal Processing, 15 papers to the IEEE Transactions on Aerospace and Electronic Systems, 9 papers to the IEEE Transactions on Wireless Communications, 9 papers to Signal Processing, and 3 papers to the IEEE Internet of Things Journal.

Among their recent papers are:

  • "Eigenspace Solution for AOA Localization in Modified Polar Representation," 2020, IEEE Transactions on Signal Processing
  • "Accurate Semidefinite Relaxation Method for Elliptic Localization With Unknown Transmitter Position," 2020, IEEE Transactions on Wireless Communications
  • "Localization of a Moving Object With Sensors in Motion by Time Delays and Doppler Shifts," 2020, IEEE Transactions on Signal Processing
  • "Bias Reduced Semidefinite Relaxation Method for 3-D Rigid Body Localization Using AOA," 2021, IEEE Transactions on Signal Processing
  • "Multistatic Moving Object Localization by a Moving Transmitter of Unknown Location and Offset," 2020, IEEE Transactions on Signal Processing

Best Publications

  • A simple and efficient estimator for hyperbolic location

    Y.T. Chan;K.C. Ho

  • An accurate algebraic solution for moving source location using TDOA and FDOA measurements

    K.C. Ho;Wenwei Xu

  • Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution

    K.C. Ho;Xiaoning Lu;L. Kovavisaruch

  • Solution and performance analysis of geolocation by TDOA

    K.C. Ho;Y.T. Chan

  • Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing

    Alina Zare;K. C. Ho

  • Bias Reduction for an Explicit Solution of Source Localization Using TDOA

    K. C. Ho

  • A Microphone Array System for Automatic Fall Detection

    Yun Li;K. C. Ho;M. Popescu

  • Modulation identification of digital signals by the wavelet transform

    K.C. Ho;W. Prokopiw;Y.T. Chan

  • Geolocation of a known altitude object from TDOA and FDOA measurements

    K.C. Ho;Y.T. Chan

  • An Asymptotically Efficient Estimator in Closed-Form for 3-D AOA Localization Using a Sensor Network

    Yue Wang;K. C. Ho

  • Doppler Radar Fall Activity Detection Using the Wavelet Transform

    Bo Yu Su;K. C. Ho;Marilyn J. Rantz;Marjorie Skubic

  • An Approximately Efficient TDOA Localization Algorithm in Closed-Form for Locating Multiple Disjoint Sources With Erroneous Sensor Positions

    Le Yang;K.C. Ho

  • A Simple and Accurate TDOA-AOA Localization Method Using Two Stations

    Jihao Yin;Qun Wan;Shiwen Yang;K. C. Ho

  • Identification of digital modulation types using the wavelet transform

    Liang Hong;K.C. Ho

  • Unified Near-Field and Far-Field Localization for AOA and Hybrid AOA-TDOA Positionings

    Yue Wang;K. C. Ho

  • Elliptic Localization: Performance Study and Optimum Receiver Placement

    Liyang Rui;K. C. Ho

  • A Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination

    J.N. Wilson;P. Gader;Wen-Hsiung Lee;H. Frigui

  • An Asymptotically Efficient Estimator for TDOA and FDOA Positioning of Multiple Disjoint Sources in the Presence of Sensor Location Uncertainties

    Ming Sun;K C Ho

  • An asymptotically unbiased estimator for bearings-only and Doppler-bearing target motion analysis

    K.C. Ho;Y.T. Chan

  • Symbol rate estimation by the wavelet transform

    Y.T. Chan;J.W. Plews;K.C. Ho

  • A new constrained weighted least squares algorithm for TDOA-based localization

    Lanxin Lin;H. C. So;Frankie K. W. Chan;Y. T. Chan

Frequent Co-Authors

Paul D. Gader
Paul D. Gader University of Florida
James M. Keller
James M. Keller University of Missouri
Marjorie Skubic
Marjorie Skubic University of Missouri
Shannon D. Blunt
Shannon D. Blunt University of Kansas
Hing Cheung So
Hing Cheung So City University of Hong Kong
Leslie M. Collins
Leslie M. Collins Duke University
Denis Paré
Denis Paré Rutgers, The State University of New Jersey
Shiwen Yang
Shiwen Yang University of Electronic Science and Technology of China
Lawrence Carin
Lawrence Carin Duke University
Zan Li
Zan Li Xidian University

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