World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6474
World Ranking
10670
National Ranking
4462

Michael P. Fitz 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 Michael P. Fitz 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: 218 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Michael P. Fitz 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 Michael P. Fitz 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: 37 D-Index — 27th percentile

27% 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

  • 2015 - IEEE Fellow For contributions to the theory and practice of multiple antenna radio

Overview

Michael P. Fitz is affiliated with the University of California, Los Angeles in the United States. Their academic career includes recognition as an IEEE Fellow in 2015 for contributions to the theory and practice of multiple antenna radio.

Their research and professional work primarily focus on multiple antenna radio technology, reflecting expertise in wireless communication systems. This area involves the development and application of technologies that utilize multiple antennas to improve signal quality and communication reliability.

No specific details on recent papers, co-authors, publication venues, subfields, or book publications are available for Michael P. Fitz. The absence of listed topics, frequent collaborators, and major publication outlets suggests that publicly accessible comprehensive bibliographic information is limited.

Being affiliated with a major research university like UCLA indicates involvement in advanced teaching and research activities within electrical engineering and communications technology disciplines.

Best Publications

  • Signal design for transmitter diversity wireless communication systems over Rayleigh fading channels

    Jiann-Ching Guey;M.P. Fitz;M.R. Bell;Wen-Yi Kuo

  • Further results in the fast estimation of a single frequency

    M.P. Fitz

  • Planar filtered techniques for burst mode carrier synchronization

    M.P. Fitz

  • Experiments With Compact Antenna Arrays for MIMO Radio Communications

    D.W. Browne;M. Manteghi;M.P. Fitz;Y. Rahmat-Samii

  • Full rate space-time turbo codes

    Youjian Liu;M.P. Fitz;O.Y. Takeshita

  • Reduced complexity decision feedback equalization for multipath channels with large delay spreads

    I.J. Fevrier;S.B. Gelfand;M.P. Fitz

  • A new view of performance analysis of transmit diversity schemes in correlated Rayleigh fading

    S. Siwamogsatham;M.P. Fitz;J.H. Grimm

  • On the design of space-time and space-frequency codes for MIMO frequency-selective fading channels

    H. El Gamal;A.R.Jr. Hammons;Youjian Liu;M.P. Fitz

  • Space-time code design with continuous phase modulation

    Xiaoxia Zhang;M.P. Fitz

  • Robust space-time codes for correlated Rayleigh fading channels

    S. Siwamogsatham;M.P. Fitz

  • Multi-antenna testbeds for research and education in wireless communications

    R.M. Rao;Wiejun Zhu;S. Lang;C. Oberli

  • Frequency offset compensation of pilot symbol assisted modulation in frequency flat fading

    Wen-Yi Kuo;M.P. Fitz

  • A Novel Soft-Output Layered Orthogonal Lattice Detector for Multiple Antenna Communications

    Massimiliano Siti;Michael P. Fitz

  • A rank criterion for QAM space-time codes

    Youjian Liu;M.P. Fitz;O.Y. Takeshita

  • A space-time model for frequency nonselective Rayleigh fading channels with applications to space-time modems

    Tai-Ann Chen;M.P. Fitz;Wen-Yi Kuo;M.D. Zoltowski

  • A new view of performance analysis techniques in correlated Rayleigh fading

    M.P. Fitz;J. Grimm;S. Siwamogsatham

  • Constellation Design via Capacity Maximization

    M.F. Barsoum;C. Jones;M. Fitz

  • Optimum and suboptimum frame synchronization for pilot-symbol-assisted modulation

    J.A. Gansman;M.P. Fitz;J.V. Krogmeier

  • Improved high-rate space-time codes via orthogonality and set partitioning

    S. Siwamogsatham;M.P. Fitz

  • On the average rate performance of hybrid-ARQ in quasi-static fading channels

    Cong Shen;Tie Liu;M.P. Fitz

Frequent Co-Authors

Urbashi Mitra
Urbashi Mitra University of Southern California
Michael D. Zoltowski
Michael D. Zoltowski Purdue University West Lafayette
Yahya Rahmat-Samii
Yahya Rahmat-Samii University of California, Los Angeles
Marvin K. Simon
Marvin K. Simon California Institute of Technology
H. El Gamal
H. El Gamal University of Sydney
Srikanth V. Krishnamurthy
Srikanth V. Krishnamurthy University of California, Riverside
Dariush Divsalar
Dariush Divsalar Jet Propulsion Lab
Mario Gerla
Mario Gerla University of California, Los Angeles
Prasant Mohapatra
Prasant Mohapatra University of South Florida
Rajive Bagrodia
Rajive Bagrodia Scalable Network Technologies (United States)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science often opens up a range of related online degrees and career opportunities. For those eager to accelerate their studies, a fast track computer science degree is an ideal choice, allowing motivated students to complete their program more quickly and enter the workforce sooner.

If you are interested in how technology impacts the environment, pursuing an environmental engineering bachelor's degree online can equip you with specialized skills to address pressing global challenges.

For those considering a broader engineering path, it’s important to analyze the mechanical engineering degree cost to make sure it aligns with your budget while offering reputable curriculum and job prospects.

Alternatively, developing a foundational understanding of the physical universe is possible through a physics degree online, which can prepare you for technical roles in industries such as technology, research, and education.

Best Scientists Citing Michael P. Fitz

Trending Scientists

Recently Published Articles