World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6515
World Ranking
9766
National Ranking
4120

Jongmoo Choi 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 Jongmoo Choi 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Jongmoo Choi 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 Jongmoo Choi 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Jongmoo Choi is affiliated with the University of Southern California in the United States. Their research activities focus primarily on computer science, with particular attention to computer networks and communications.

Their recent published papers include:

  • "ZenFS+: Nurturing Performance and Isolation to ZenFS" (2023, IEEE Access)
  • "Direct-Virtio: A New Direct Virtualized I/O Framework for NVMe SSDs" (2021, Electronics)
  • "An Empirical Study of Segmented Linear Regression Search in LevelDB" (2023, Electronics)
  • "Requirements and Trade-Offs of Compression Techniques in Key-Value Stores: A Survey" (2023, Electronics)
  • "Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs" (2024, Proceedings of the ACM on Management of Data)

Frequent co-authors collaborating with Jongmoo Choi are:

  • Seehwan Yoo
  • Minguk Choi
  • Yoojin Chung
  • Charles Jaranilla
  • Bryan S. Kim

The primary publication venues where Jongmoo Choi's work appears frequently include:

  • Electronics
  • KIISE Transactions on Computing Practices
  • IEEE Access
  • Journal of KIISE
  • Proceedings of the ACM on Management of Data

Jongmoo Choi's main fields of study encompass:

  • Computer Science

The subfields of study engaged with include:

  • Computer Networks and Communications
  • Information Systems
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

Their research covers several key topics, such as:

  • Advanced Data Storage Technologies
  • Caching and Content Delivery
  • Parallel Computing and Optimization Techniques
  • Distributed and Parallel Computing Systems
  • Cloud Computing and Resource Management
  • Algorithms and Data Compression
  • Data Management and Algorithms

Best Publications

  • LRFU: a spectrum of policies that subsumes the least recently used and least frequently used policies

    Donghee Lee;Jongmoo Choi;Jong-Hun Kim;S.H. Noh

  • On the existence of a spectrum of policies that subsumes the least recently used (LRU) and least frequently used (LFU) policies

    Donghee Lee;Jongmoo Choi;Jong-Hun Kim;Sam H. Noh

  • Effective representation using ICA for face recognition robust to local distortion and partial occlusion

    Jongsun Kim;Jongmoo Choi;Juneho Yi;M. Turk

  • A low-overhead high-performance unified buffer management scheme that exploits sequential and looping references

    Jong Min Kim;Jongmoo Choi;Jesung Kim;Sam H. Noh

  • ThyNVM: enabling software-transparent crash consistency in persistent memory systems

    Jinglei Ren;Jishen Zhao;Samira Khan;Jongmoo Choi

  • Face recognition using deep multi-pose representations

    Wael AbdAlmageed;Yue Wu;Stephen Rawls;Shai Harel

  • Caching less for better performance: balancing cache size and update cost of flash memory cache in hybrid storage systems

    Yongseok Oh;Jongmoo Choi;Donghee Lee;Sam H. Noh

  • 3d body modeling, from a single or multiple 3d cameras, in the presence of motion

    Gerard Guy Medioni;Jongmoo Choi

  • WARM: Improving NAND flash memory lifetime with write-hotness aware retention management

    Yixin Luo;Yu Cai;Saugata Ghose;Jongmoo Choi

  • Flash memory management method

    Bum-soo Kim;Gjui-Young Lee;Jong-min Kim;Ji-Huun In

  • Decoupled Direct Memory Access: Isolating CPU and IO Traffic by Leveraging a Dual-Data-Port DRAM

    Donghyuk Lee;Lavanya Subramanian;Rachata Ausavarungnirun;Jongmoo Choi

  • Disk schedulers for solid state drivers

    Jaeho Kim;Yongseok Oh;Eunsam Kim;Jongmoo Choi

  • Deep 3D face identification

    Donghyun Kim;Matthias Hernandez;Jongmoo Choi;Gerard Medioni

  • Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild

    Iacopo Masi;Feng-Ju Chang;Jongmoo Choi;Shai Harel

  • Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies

    Xiao Guo;Jongmoo Choi

  • Exploiting non-volatile RAM to enhance flash file system performance

    In Hwan Doh;Jongmoo Choi;Donghee Lee;Sam H. Noh

  • Towards application/file-level characterization of block references: a case for fine-grained buffer management

    Jongmoo Choi;Sam H. Noh;Sang Lyul Min;Yookun Cho

  • Utility-Based Hybrid Memory Management

    Yang Li;Saugata Ghose;Jongmoo Choi;Jin Sun

  • Improving SSD reliability with RAID via Elastic Striping and Anywhere Parity

    Jaeho Kim;Jongmin Lee;Jongmoo Choi;Donghee Lee

  • SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time

    Elizabeth Bondi;Fei Fang;Mark Hamilton;Debarun Kar

  • Identifying Noncooperative Subjects at a Distance Using Face Images and Inferred Three-Dimensional Face Models

    G. Medioni;J. Choi;Cheng-Hao Kuo;D. Fidaleo

  • Face Recognition Using Deep Multi-Pose Representations

    Wael AbdAlmageed;Yue Wua;Stephen Rawlsa;Shai Harel

Frequent Co-Authors

Sam H. Noh
Sam H. Noh Virginia Tech
Gerard Medioni
Gerard Medioni Amazon (United States)
Sang Lyul Min
Sang Lyul Min Seoul National University
Sukhan Lee
Sukhan Lee Sungkyunkwan University
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Sungroh Yoon
Sungroh Yoon Seoul National University
Prem Natarajan
Prem Natarajan Capital One (United States)
Tal Hassner
Tal Hassner Facebook (United States)
Onur Mutlu
Onur Mutlu ETH Zurich
Saugata Ghose
Saugata Ghose University of Illinois at Urbana-Champaign

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