World's Best Scientists 2026 revealed!

Matthew C. Valenti 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 Matthew C. Valenti 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+

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

Matthew C. Valenti 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 Matthew C. Valenti 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+

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

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to cooperative diversity and development of distributed turbo codes

Overview

Matthew C. Valenti is affiliated with West Virginia University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with particular focus on subfields including Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering, Signal Processing, and Computer Networks and Communications.

Their work encompasses a range of main topics such as Face Recognition and Analysis, Biometric Identification and Security, Face and Expression Recognition, UAV Applications and Optimization, Generative Adversarial Networks and Image Synthesis, Advanced Image and Video Retrieval Techniques, and Wireless Communication Networks Research.

Among their recent publications are:

  • Attribute-Based Deep Periocular Recognition: Leveraging Soft Biometrics to Improve Periocular Recognition (2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV))
  • Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval (2020, IEEE Transactions on Biometrics Behavior and Identity Science)
  • Profile to frontal face recognition in the wild using coupled conditional generative adversarial network (2022, IET Biometrics)
  • Empirical Assessment of End-to-End Iris Recognition System Capacity (2023, IEEE Transactions on Biometrics Behavior and Identity Science)
  • Profile to Frontal Face Recognition in the Wild Using Coupled Conditional GAN (2021, arXiv (Cornell University))

They frequently publish in venues such as arXiv (Cornell University), IEEE Transactions on Biometrics Behavior and Identity Science, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IET Biometrics, and MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM).

Frequent collaborators include Veeru Talreja, Nasser M. Nasrabadi, Fariborz Taherkhani, Natalia A. Schmid, and Joseph D. Skufca.

In 2018, Matthew C. Valenti received recognition as an IEEE Fellow for contributions to cooperative diversity and the development of distributed turbo codes.

Best Publications

  • Practical relay networks: a generalization of hybrid-ARQ

    Bin Zhao;M.C. Valenti

  • Distributed turbo coded diversity for relay channel

    B. Zhao;M.C. Valenti

  • Iterative channel estimation and decoding of pilot symbol assisted turbo codes over flat-fading channels

    M.C. Valenti;B.D. Woerner

  • Asynchronous cooperative diversity

    Shuangqing Wei;D.L. Goeckel;M.C. Valenti

  • The UMTS Turbo Code and an Efficient Decoder Implementation Suitable for Software-Defined Radios

    Matthew C. Valenti;Jian Sun

  • Device-to-Device Millimeter Wave Communications: Interference, Coverage, Rate, and Finite Topologies

    Kiran Venugopal;Matthew C. Valenti;Robert W. Heath

  • Distributed turbo codes: towards the capacity of the relay channel

    M.C. Valenti;Bin Zhao

  • Iterative demodulation and decoding of turbo-coded M-ary noncoherent orthogonal modulation

    M.C. Valenti;Shi Cheng

  • Iterative Detection and Decoding for Wireless Communications

    Matthew C. Valenti

  • On the throughput of Bluetooth data transmissions

    M.C. Valenti;M. Robert;J.H. Reed

  • The Outage Probability of a Finite Ad Hoc Network in Nakagami Fading

    D. Torrieri;M. C. Valenti

  • Interference in finite-sized highly dense millimeter wave networks

    Kiran Venugopal;Matthew C. Valenti;Robert W. Heath

  • Coded transmit macrodiversity: block space-time codes over distributed antennas

    Yipeng Tang;M.C. Valenti

  • Performance of turbo codes in interleaved flat fading channels with estimated channel state information

    M.C. Valenti;B.D. Woerner

  • Benefits and challenges of virtualization in 5G radio access networks

    Peter Rost;Ignacio Berberana;Andreas Maeder;Henning Paul

  • Multibiometric secure system based on deep learning

    Veeru Talreja;Matthew C. Valenti;Nasser M. Nasrabadi

  • Constellation Shaping for Bit-Interleaved LDPC Coded APSK

    Matthew C. Valenti;Xingyu Xiang

  • Refined channel estimation for coherent detection of turbo codes over flat-fading channels

    M.C. Valenti;B.D. Woerner

  • Exploiting macrodiversity in dense multihop networks and relay channels

    M.C. Valenti;N. Correal

  • The Complexity–Rate Tradeoff of Centralized Radio Access Networks

    Peter Rost;Salvatore Talarico;Matthew C. Valenti

Frequent Co-Authors

Nasser M. Nasrabadi
Nasser M. Nasrabadi West Virginia University
Robert W. Heath
Robert W. Heath University of California, San Diego
Arun Ross
Arun Ross Michigan State University
Ender Ayanoglu
Ender Ayanoglu University of California, Irvine
Jeffrey H. Reed
Jeffrey H. Reed Virginia Tech
Dennis Goeckel
Dennis Goeckel University of Massachusetts Amherst
Abbas Jamalipour
Abbas Jamalipour University of Sydney
Marco Di Renzo
Marco Di Renzo CentraleSupélec
xin li
xin li Louisiana State University

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