World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
11535
World Ranking
7064
National Ranking
62

Jung Ho Ahn 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 Jung Ho Ahn 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: 152 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Jung Ho Ahn 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 Jung Ho Ahn 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Jung Ho Ahn is affiliated with Seoul National University in South Korea. Their research predominantly spans the field of Computer Science, with a strong focus on subfields such as Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture, and Information Systems.

The scientist's work covers multiple main topics, including:

  • Parallel Computing and Optimization Techniques
  • Cryptography and Data Security
  • Advanced Data Storage Technologies
  • Ferroelectric and Negative Capacitance Devices
  • Cryptographic Implementations and Security
  • Advanced Neural Network Applications
  • Biodegradable Polymer Synthesis and Properties

Frequent publication venues for Jung Ho Ahn include:

  • IEEE Computer Architecture Letters
  • arXiv (Cornell University)
  • KIISE Transactions on Computing Practices
  • IEEE Access
  • Bioresource Technology

Some of the scientist's recent published papers are:

  • "Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs" (2021), published in IACR Transactions on Cryptographic Hardware and Embedded Systems
  • "Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization" (2021), published in IEEE Access
  • "CAT-TWO: Counter-Based Adaptive Tree, Time Window Optimized for DRAM Row-Hammer Prevention" (2020), published in IEEE Access
  • "MViD: Sparse Matrix-Vector Multiplication in Mobile DRAM for Accelerating Recurrent Neural Networks" (2020), published in IEEE Transactions on Computers
  • "BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption" (2021), published on arXiv (Cornell University)

The scientist collaborates regularly with:

  • Jaewan Choi
  • Eojin Lee
  • Jongmin Kim
  • Jaehyun Park
  • Wonkyung Jung

Best Publications

  • McPAT: an integrated power, area, and timing modeling framework for multicore and manycore architectures

    Sheng Li;Jung Ho Ahn;Richard D. Strong;Jay B. Brockman

  • Corona: System Implications of Emerging Nanophotonic Technology

    Dana Vantrease;Robert Schreiber;Matteo Monchiero;Moray McLaren

  • Merrimac: Supercomputing with Streams

    William J. Dally;Francois Labonte;Abhishek Das;Patrick Hanrahan

  • Programmable stream processors

    U.J. Kapasi;S. Rixner;W.J. Dally;B. Khailany

  • HyperX: topology, routing, and packaging of efficient large-scale networks

    Jung Ho Ahn;Nathan Binkert;Al Davis;Moray McLaren

  • NDA: Near-DRAM acceleration architecture leveraging commodity DRAM devices and standard memory modules

    Amin Farmahini-Farahani;Jung Ho Ahn;Katherine Morrow;Nam Sung Kim

  • A Comprehensive Memory Modeling Tool and Its Application to the Design and Analysis of Future Memory Hierarchies

    Shyamkumar Thoziyoor;Jung Ho Ahn;Matteo Monchiero;Jay B. Brockman

  • The McPAT Framework for Multicore and Manycore Architectures: Simultaneously Modeling Power, Area, and Timing

    Sheng Li;Jung Ho Ahn;Richard D. Strong;Jay B. Brockman

  • CACTI-P: architecture-level modeling for SRAM-based structures with advanced leakage reduction techniques

    Sheng Li;Ke Chen;Jung Ho Ahn;Jay B. Brockman

  • CACTI-3DD: architecture-level modeling for 3D die-stacked DRAM main memory

    Ke Chen;Sheng Li;Naveen Muralimanohar;Jung Ho Ahn

  • Devices and architectures for photonic chip-scale integration

    J. Ahn;M. Fiorentino;R. G. Beausoleil;N. Binkert

  • BTS: an accelerator for bootstrappable fully homomorphic encryption

    Unknown

  • Over 100x Faster Bootstrapping in Fully Homomorphic Encryption through Memory-centric Optimization with GPUs

    Unknown

  • Evaluating the Imagine Stream Architecture

    Jung Ho Ahn;William J. Dally;Brucek Khailany;Ujval J. Kapasi

  • McSimA+: A manycore simulator with application-level+ simulation and detailed microarchitecture modeling

    Jung Ho Ahn;Sheng Li;O. Seongil;Norman P. Jouppi

  • Memory-centric system interconnect design with hybrid memory cubes

    Gwangsun Kim;John Kim;Jung Ho Ahn;Jaeha Kim

  • Architecting to achieve a billion requests per second throughput on a single key-value store server platform

    Sheng Li;Hyeontaek Lim;Victor W. Lee;Jung Ho Ahn

  • ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse

    Unknown

  • Future scaling of processor-memory interfaces

    Jung Ho Ahn;Norman P. Jouppi;Christos Kozyrakis;Jacob Leverich

  • Reducing memory access latency with asymmetric DRAM bank organizations

    Young Hoon Son;O. Seongil;Yuhwan Ro;Jae W. Lee

  • A Nanophotonic Interconnect for High-Performance Many-Core Computation

    R.G. Beausoleil;J. Ahn;N. Binkert;A. Davis

  • Chameleon: versatile and practical near-DRAM acceleration architecture for large memory systems

    Hadi Asghari-Moghaddam;Young Hoon Son;Jung Ho Ahn;Nam Sung Kim

  • Managing shared last-level cache in a heterogeneous multicore processor

    Gwangsun Kim;John Kim;Jung Ho Ahn;Jaeha Kim

Frequent Co-Authors

Norman P. Jouppi
Norman P. Jouppi Google (United States)
Robert Schreiber
Robert Schreiber Cerebras Systems
William J. Dally
William J. Dally Nvidia (United Kingdom)
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
John Kim
John Kim University of California, Los Angeles
Mattan Erez
Mattan Erez The University of Texas at Austin
Naveen Muralimanohar
Naveen Muralimanohar Google (United States)
Marco Fiorentino
Marco Fiorentino Hewlett Packard Enterprise (United States)
Raymond G. Beausoleil
Raymond G. Beausoleil Hewlett-Packard (United States)
Brucek Khailany
Brucek Khailany Nvidia (United States)

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