World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8146
World Ranking
7572
National Ranking
69

Byonghyo Shim 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 Byonghyo Shim 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: 372 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Byonghyo Shim 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 Byonghyo Shim 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Byonghyo Shim is affiliated with Seoul National University in South Korea. Their research focuses on engineering and computer science, with a significant concentration on electrical and electronic engineering, aerospace engineering, artificial intelligence, computer networks and communications, and computer vision and pattern recognition.

They have contributed extensively to topics such as advanced wireless communication technologies, advanced MIMO systems optimization, millimeter-wave propagation and modeling, microwave engineering and waveguides, indoor and outdoor localization technologies, antenna design and analysis, and advanced wireless communication techniques.

Byonghyo Shim has a robust publication record in several venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • GLOBECOM 2022 - 2022 IEEE Global Communications Conference

The scientist's notable recent papers are:

  • Deep Neural Network-Based Active User Detection for Grant-Free NOMA Systems, 2020, IEEE Transactions on Communications
  • 6G R&D vision: Requirements and candidate technologies, 2022, Journal of Communications and Networks
  • Integrated Sensing and Communication Waveform Design With Sparse Vector Coding: Low Sidelobes and Ultra Reliability, 2022, IEEE Transactions on Vehicular Technology
  • Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies, 2023, Journal of Communications and Networks
  • Direction-of-Arrival Estimation for Large Antenna Arrays With Hybrid Analog and Digital Architectures, 2021, IEEE Transactions on Signal Processing

They collaborate frequently with several researchers, including Seungnyun Kim, Yongjun Ahn, Kyuhong Shim, Jiao Wu, and Wonjun Kim, with varying numbers of coauthored works.

Byonghyo Shim's work bridges multiple disciplines, focusing on areas important to emerging communication technologies and signal processing, contributing to both foundational studies and applied research in wireless systems and network design.

Best Publications

  • Generalized Orthogonal Matching Pursuit

    Jian Wang;Seokbeop Kwon;Byonghyo Shim

  • Ultra-Reliable and Low-Latency Communications in 5G Downlink: Physical Layer Aspects

    Hyoungju Ji;Sunho Park;Jeongho Yeo;Younsun Kim

  • Compressed Sensing for Wireless Communications: Useful Tips and Tricks

    Jun Won Choi;Byonghyo Shim;Yacong Ding;Bhaskar Rao

  • Reliable low-power digital signal processing via reduced precision redundancy

    Byonghyo Shim;S.R. Sridhara;N.R. Shanbhag

  • Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO

    Zhen Gao;Linglong Dai;Wei Dai;Byonghyo Shim

  • Recent trend of multiuser MIMO in LTE-advanced

    Chaiman Lim;Taesang Yoo;B. Clerckx;Byungju Lee

  • On the Recovery Limit of Sparse Signals Using Orthogonal Matching Pursuit

    Jian Wang;Byonghyo Shim

  • Overview of Full-Dimension MIMO in LTE-Advanced Pro

    Hyoungju Ji;Younsun Kim;Juho Lee;Eko Onggosanusi

  • Multipath Matching Pursuit

    Suhyuk Kwon;Jian Wang;Byonghyo Shim

  • Energy-efficient soft error-tolerant digital signal processing

    Byonghyo Shim;N.R. Shanbhag

  • Low-Rank Matrix Completion: A Contemporary Survey

    Luong Trung Nguyen;Junhan Kim;Byonghyo Shim

  • Service Multiplexing and Revenue Maximization in Sliced C-RAN Incorporated With URLLC and Multicast eMBB

    Jianhua Tang;Byonghyo Shim;Tony Q. S. Quek

  • Performance Analysis of FD-NOMA-Based Decentralized V2X Systems

    Di Zhang;Yuanwei Liu;Linglong Dai;Ali Kashif Bashir

  • Antenna Grouping Based Feedback Compression for FDD-Based Massive MIMO Systems

    Byungju Lee;Junil Choi;Ji-Yun Seol;David J. Love

  • Multiuser Detection via Compressive Sensing

    Byonghyo Shim;Byungkwen Song

  • Sphere Decoding With a Probabilistic Tree Pruning

    Byonghyo Shim;Insung Kang

  • Recovery of sparse signals via generalized orthogonal matching pursuit: A new analysis

    Jian Wang;Suhyuk Kwon;Ping Li;Byonghyo Shim

  • Channel Feedback Based on AoD-Adaptive Subspace Codebook in FDD Massive MIMO Systems

    Wenqian Shen;Linglong Dai;Byonghyo Shim;Zhaocheng Wang

  • 6G R&D vision: Requirements and candidate technologies

    Unknown

  • EP-Based Joint Active User Detection and Channel Estimation for Massive Machine-Type Communications

    Jinyoup Ahn;Byonghyo Shim;Kwang Bok Lee

  • Joint CSIT Acquisition Based on Low-Rank Matrix Completion for FDD Massive MIMO Systems

    Wenqian Shen;Linglong Dai;Byonghyo Shim;Shahid Mumtaz

  • Deep Neural Network-Based Active User Detection for Grant-Free NOMA Systems

    Wonjun Kim;Yongjun Ahn;Byonghyo Shim

  • Introduction to Ultra Reliable and Low Latency Communications in 5G.

    Hyoungju Ji;Sunho Park;Jeongho Yeo;Younsun Kim

Frequent Co-Authors

Andrew C. Singer
Andrew C. Singer University of Illinois at Urbana-Champaign
Naresh R. Shanbhag
Naresh R. Shanbhag University of Illinois at Urbana-Champaign
Linglong Dai
Linglong Dai Tsinghua University
Nam Ik Cho
Nam Ik Cho Seoul National University
Younsun Kim
Younsun Kim Samsung (South Korea)
Zhaocheng Wang
Zhaocheng Wang Tsinghua University
Tony Q. S. Quek
Tony Q. S. Quek Singapore University of Technology and Design
David J. Love
David J. Love Purdue University West Lafayette
Guoqiang Mao
Guoqiang Mao Xidian University
Junil Choi
Junil Choi Korea Advanced Institute of Science and Technology

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 online degree options in Computer Science can open diverse career pathways for students at every stage. For those looking to accelerate their studies, shortest masters degree programs online offer the opportunity to earn an advanced credential quickly, helping you re-enter the tech industry or switch fields faster.

Choosing the right specialization is crucial. If you're considering graduate study, check out what masters program should I do to identify high-demand fields and valuable credentials that align with your goals.

For those just starting, associates degrees online provide flexible, affordable entry points into Computer Science. These programs build foundational knowledge and can lead to immediate job opportunities or future study.

Budget is a major concern for many students. Explore affordable online colleges to find cost-effective options without sacrificing quality. With so many choices, it’s easier than ever to find a program that fits your needs and budget in the evolving world of Computer Science education.

Best Scientists Citing Byonghyo Shim

Trending Scientists

Recently Published Articles