World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4669
World Ranking
13567
National Ranking
180

Jihong 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 Jihong 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: 177 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Jihong 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 Jihong 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Jihong Kim is affiliated with Seoul National University in South Korea. Their research primarily spans the field of Computer Science, with a focus on subfields including Computer Networks and Communications, Hardware and Architecture, Information Systems, Electrical and Electronic Engineering, and Artificial Intelligence.

Their work encompasses a variety of topics, notably Advanced Data Storage Technologies, Caching and Content Delivery, Parallel Computing and Optimization Techniques, Cellular Automata and Applications, Digital Rights Management and Security, Advanced Clustering Algorithms Research, and Cloud Computing and Resource Management.

Kim has contributed to multiple prominent publication venues. Frequent venues include:

  • Journal of KIISE
  • IEEE Computer Architecture Letters
  • ACM Transactions on Storage
  • arXiv (Cornell University)
  • Buildings

Recent papers authored with various collaborators cover research in enterprise SSD simulation, clustering indices, and performance evaluation. Notable recent publications include:

  • MQSim-E: An Enterprise SSD Simulator, 2022, IEEE Computer Architecture Letters
  • Improved cluster validity index for fuzzy clustering, 2021, Electronics Letters
  • RealWear, 2021, ACM SIGMETRICS Performance Evaluation Review
  • RealWear: Improving performance and lifetime of SSDs using a NAND aging marker, 2020, Performance Evaluation
  • DeepPM: Transformer-based Power and Performance Prediction for Energy-Aware Software, 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Jihong Kim has collaborated frequently with a set of coauthors, notably:

  • Myoungjun Chun
  • Dusol Lee
  • Duwon Hong
  • Yoona Kim
  • Jaeyong Lee

Best Publications

  • LAST: locality-aware sector translation for NAND flash memory-based storage systems

    Sungjin Lee;Dongkun Shin;Young-Jin Kim;Jihong Kim

  • Intra-task voltage scheduling for low-energy hard real-time applications

    Dongkun Shin;Jihong Kim;Seongsoo Lee

  • Performance comparison of dynamic voltage scaling algorithms for hard real-time systems

    Woonseok Kim;Dongkun Shin;Han-Saem Yun;Jihong Kim

  • A Dynamic Voltage Scaling Algorithm for Dynamic-Priority Hard Real-Time Systems Using Slack Time Analysis

    Woonseok Kim;Jihong Kim;Sang Lyul Min

  • Mobile communication system

    Woolsey Matthew A;Lineberry Marion C;Kim Jiong Nmi

  • Structure-aware Web transcoding for mobile devices

    Yonghyun Hwang;Jihong Kim;Eunkyong Seo

  • Power-aware communication optimization for networks-on-chips with voltage scalable links

    Dongkun Shin;Jihong Kim

  • Low-energy intra-task voltage scheduling using static timing analysis

    Dongkun Shin;Jihong Kim;Seongsoo Lee

  • On energy-optimal voltage scheduling for fixed-priority hard real-time systems

    Han-Saem Yun;Jihong Kim

  • FlexFS: a flexible flash file system for MLC NAND flash memory

    Sungjin Lee;Keonsoo Ha;Kangwon Zhang;Jihong Kim

  • Application-managed flash

    Sungjin Lee;Ming Liu;Sangwoo Jun;Shuotao Xu

  • Power-aware scheduling of conditional task graphs in real-time multiprocessor systems

    Dongkun Shin;Jihong Kim

  • Preemption-aware dynamic voltage scaling in hard real-time systems

    Woonseok Kim;Jihong Kim;Sang Lyul Min

  • Power-aware modulo scheduling for high-performance VLIW processors

    Han-Saem Yun;Jihong Kim

  • Dynamic voltage scaling algorithm for fixed-priority real-time systems using work-demand analysis

    Woonseok Kim;Jihong Kim;Sang Lyul-Min

  • Lifetime improvement of NAND flash-based storage systems using dynamic program and erase scaling

    Jaeyong Jeong;Sangwook Shane Hahn;Sungjin Lee;Jihong Kim

  • A worst case timing analysis technique for multiple-issue machines

    Sung-Soo Lim;Jung Hee Han;Jihong Kim;Sang Lyul Min

  • Flashshare: punching through server storage stack from kernel to firmware for ultra-low latency SSDs

    Jie Zhang;Miryeong Kwon;Donghyun Gouk;Sungjoon Koh

  • Lifetime management of flash-based SSDs using recovery-aware dynamic throttling

    Sungjin Lee;Taejin Kim;Kyungho Kim;Jihong Kim

  • A profile-based energy-efficient intra-task voltage scheduling algorithm for hard real-time applications

    Dongkun Shin;Jihong Kim

  • Dynamic voltage scaling of periodic and aperiodic tasks in priority-driven systems

    Dongkun Shin;Jihong Kim

  • Improving performance and lifetime of solid-state drives using hardware-accelerated compression

    Sungjin Lee;Jihoon Park;Kermin Fleming;Arvind

  • Low-Energy Intra-Task Voltage Scheduling using Static Timing Analysis

    Dong-Gun Sin;Ji-Hong Kim;Seong-Su Lee

Frequent Co-Authors

Sang Lyul Min
Sang Lyul Min Seoul National University
Yongmin Kim
Yongmin Kim Pohang University of Science and Technology
Onur Mutlu
Onur Mutlu ETH Zurich
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence
Jung Ho Ahn
Jung Ho Ahn Seoul National University
Naehyuck Chang
Naehyuck Chang Korea Advanced Institute of Science and Technology
Tajana Rosing
Tajana Rosing University of California, San Diego
Yanghee Choi
Yanghee Choi Seoul National University
Sarma Vrudhula
Sarma Vrudhula Arizona State University

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