World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8209
World Ranking
6231
National Ranking
48

Dongkyun Kim 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 Dongkyun Kim 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: 386 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Dongkyun Kim 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 Dongkyun Kim 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Dongkyun Kim is affiliated with Kyungpook National University in South Korea. Their research primarily spans across fields such as Engineering and Computer Science with a focus on Electrical and Electronic Engineering and Computer Networks and Communications. Additional subfields include Aerospace Engineering, Computer Vision and Pattern Recognition, and Media Technology.

Their work addresses several main topics, notably Vehicular Ad Hoc Networks (VANETs), Advanced MIMO Systems Optimization, IoT and Edge/Fog Computing, Caching and Content Delivery, IoT Networks and Protocols, Opportunistic and Delay-Tolerant Networks, and Energy Efficient Wireless Sensor Networks.

Kim's recent publications include:

  • "Advancements in Vehicular Communication Technologies: C-V2X and NR-V2X Comparison", 2021, IEEE Communications Magazine
  • "Software-defined vehicular network (SDVN): A survey on architecture and routing", 2020, Journal of Systems Architecture
  • "Enabling technologies for AI empowered 6G massive radio access networks", 2022, ICT Express
  • "Aspects of unmanned aerial vehicles path planning: Overview and applications", 2021, International Journal of Communication Systems
  • "Enhancements and Challenges in CoAP-A Survey", 2020, Sensors

The frequent co-authors collaborating with Kim include Malik Muhammad Saad, Muhammad Toaha Raza Khan, Muhammad Ashar Tariq, Junho Seo, and Mahnoor Ajmal.

Publication venues where Kim has commonly contributed are ICT Express, IEEE Internet of Things Journal, Electronics, Sensors, and Vehicular Communications.

Best Publications

  • Routing mechanisms for mobile ad hoc networks based on the energy drain rate

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.-C. Cano

  • TCP-BuS: Improving TCP performance in wireless Ad Hoc networks

    Dongkyun Kim;C.-K. Toh;Yanghee Choi

  • An Energy Efficient Localization-Free Routing Protocol for Underwater Wireless Sensor Networks

    Abdul Wahid;Dongkyun Kim

  • CODIE: Controlled Data and Interest Evaluation in Vehicular Named Data Networks

    Syed Hassan Ahmed;Safdar Hussain Bouk;Muhammad Azfar Yaqub;Dongkyun Kim

  • Power-aware routing based on the energy drain rate for mobile ad hoc networks

    Dongkyun Kim;J.J. Garcia-Luna-Aceves;K. Obraczka;J.C. Cano

  • EEDBR: Energy-Efficient Depth-Based Routing Protocol for Underwater Wireless Sensor Networks

    Abdul Wahid;Sungwon Lee;Hong-Jong Jeong;Dongkyun Kim

  • DFR: Directional flooding-based routing protocol for underwater sensor networks

    Daeyoup Hwang;Dongkyun Kim

  • Dynamic Duty-Cycle Scheduling Schemes for Energy-Harvesting Wireless Sensor Networks

    Hongseok Yoo;Moonjoo Shim;Dongkyun Kim

  • RUFS: RobUst Forwarder Selection in Vehicular Content-Centric Networks

    Syed Hassan Ahmed;Safdar Hussain Bouk;Dongkyun Kim

  • Named-Data-Networking-Based ITS for Smart Cities

    Safdar Hussain Bouk;Syed Hassan Ahmed;Dongkyun Kim;Houbing Song

  • A reliable and energy-efficient routing protocol for underwater wireless sensor networks

    Abdul Wahid;Sungwon Lee;Dongkyun Kim

  • Cyber Physical System: Architecture, applications and research challenges

    Syed Hassan Ahmed;Gwanghyeon Kim;Dongkyun Kim

  • Hybrid gateway advertisement scheme for connecting mobile ad hoc networks to the Internet

    Jeongkeun Lee;Dongkyun Kim;J.J. Garcia-Luna-Aceves;Yanghee Choi

  • Advancements in Vehicular Communication Technologies: C-V2X and NR-V2X Comparison

    Malik Muhammad Saad;Muhammad Toaha Raza Khan;Syed Hassan Ahmed Shah;Dongkyun Kim

  • DFR: an efficient directional flooding-based routing protocol in underwater sensor networks

    Dongseung Shin;Daeyoup Hwang;Dongkyun Kim

  • An energy-efficient routing protocol for UWSNs using physical distance and residual energy

    Abdul Wahid;Sungwon Lee;Dongkyun Kim

  • Modelling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approach

    Kwang-Seuk Jeong;Dong-Kyun Kim;Peter Whigham;Gea-Jae Joo

  • Predicting Traffic lights to Improve Urban Traffic Fuel Consumption

    Miguel Sanchez;Juan-carlos Cano;Dongkyun Kim

  • Named Data Networking for Software Defined Vehicular Networks

    Syed Hassan Ahmed;Safdar Hussain Bouk;Dongkyun Kim;Danda B. Rawat

  • Enabling technologies for AI empowered 6G massive radio access networks

    Unknown

  • K-hop cluster-based dynamic source routing in wireless ad-hoc packet radio network

    Dongkyun Kim;Seokjae Ha;Yanghee Choi

  • River phytoplankton prediction model by Artificial Neural Network: Model performance and selection of input variables to predict time-series phytoplankton proliferations in a regulated river system

    Kwang-Seuk Jeong;Dong-Kyun Kim;Gea-Jae Joo

Frequent Co-Authors

Syed Hassan Ahmed
Syed Hassan Ahmed Georgia Southern University
Juan-Carlos Cano
Juan-Carlos Cano Universitat Politècnica de València
Yanghee Choi
Yanghee Choi Seoul National University
Pietro Manzoni
Pietro Manzoni Universitat Politècnica de València
J.J. Garcia-Luna-Aceves
J.J. Garcia-Luna-Aceves University of California, Santa Cruz
Houbing Song
Houbing Song University of Maryland, Baltimore County
Nadeem Javaid
Nadeem Javaid National Yunlin University of Science and Technology
Katia Obraczka
Katia Obraczka University of California, Santa Cruz
Floriano De Rango
Floriano De Rango University of Calabria
Jeongkeun Lee
Jeongkeun Lee Intel (United States)

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