World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
7596
World Ranking
5713
National Ranking
2591

Taesoo 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 Taesoo 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 130 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Taesoo 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 Taesoo Kim sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Taesoo Kim is affiliated with the Georgia Institute of Technology in the United States, where the research contributions primarily focus on computer science. The main fields of study encompass several critical areas within computer science, including information systems, artificial intelligence, signal processing, software, and computer networks and communications.

Their research output includes numerous papers published in a variety of venues, with a significant number appearing on arXiv (Cornell University). Other notable publication venues include The Journal of Korean Literary Creative Writing, Journal of Eastern-Asia Buddhism and Culture, The East Asian Ancient Studies, and Journal of Korean Association for Buddhist Studies.

Recent papers authored or co-authored by Taesoo Kim include:

  • "RoboFuzz: fuzzing robotic systems over robot operating system (ROS) for finding correctness bugs," 2022, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • "Semantic-aware Binary Code Representation with BERT," 2021, arXiv (Cornell University)
  • "A Look Back on a Function Identification Problem," 2021, Annual Computer Security Applications Conference
  • "Finding Bugs in File Systems with an Extensible Fuzzing Framework," 2020, ACM Transactions on Storage
  • "In-Kernel Control-Flow Integrity on Commodity OSes using ARM Pointer Authentication," 2021, arXiv (Cornell University)

The research topics frequently addressed in their work include:

  • Advanced Malware Detection Techniques
  • Security and Verification in Computing
  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Speech and Audio Processing
  • Religious Studies and Spiritual Practices
  • AI in cancer detection

Taesoo Kim has collaborated closely with a number of coauthors, most frequently with Jong Hwan Ko, Hyeonsoo Lee, Junha Kim, Hyungjoon Koo, and Jaehyuk Lee. These collaborations have contributed to multiple joint publications.

Best Publications

  • Inferring fine-grained control flow inside SGX enclaves with branch shadowing

    Sangho Lee;Ming-Wei Shih;Prasun Gera;Taesoo Kim

  • T-SGX: Eradicating Controlled-Channel Attacks Against Enclave Programs.

    Ming-Wei Shih;Sangho Lee;Taesoo Kim;Marcus Peinado

  • STEALTHMEM: system-level protection against cache-based side channel attacks in the cloud

    Taesoo Kim;Marcus Peinado;Gloria Mainar-Ruiz

  • QSYM: a practical concolic execution engine tailored for hybrid fuzzing

    Insu Yun;Sangho Lee;Meng Xu;Yeongjin Jang

  • Recipe: converting concurrent DRAM indexes to persistent-memory indexes

    Se Kwon Lee;Jayashree Mohan;Sanidhya Kashyap;Taesoo Kim

  • SGX-Shield: Enabling Address Space Layout Randomization for SGX Programs.

    Jaebaek Seo;Byoungyoung Lee;Seong Min Kim;Ming-Wei Shih

  • Mosaic: Processing a Trillion-Edge Graph on a Single Machine

    Steffen Maass;Changwoo Min;Sanidhya Kashyap;Woonhak Kang

  • Breaking Kernel Address Space Layout Randomization with Intel TSX

    Yeongjin Jang;Sangho Lee;Taesoo Kim

  • SplitFS: reducing software overhead in file systems for persistent memory

    Rohan Kadekodi;Se Kwon Lee;Sanidhya Kashyap;Taesoo Kim

  • ASLR-Guard: Stopping Address Space Leakage for Code Reuse Attacks

    Kangjie Lu;Chengyu Song;Byoungyoung Lee;Simon P. Chung

  • Preventing Use-after-free with Dangling Pointers Nullification

    Byoungyoung Lee;Chengyu Song;Yeongjin Jang;Tielei Wang

  • Hacking in Darkness: Return-oriented Programming against Secure Enclaves

    Jae-Hyuk Lee;Jin Soo Jang;Yeongjin Jang;Nohyun Kwak

  • SGX-Bomb: Locking Down the Processor via Rowhammer Attack

    Yeongjin Jang;Jaehyuk Lee;Sangho Lee;Taesoo Kim

  • Enforcing Kernel Security Invariants with Data Flow Integrity.

    Chengyu Song;Byoungyoung Lee;Kangjie Lu;William Harris

  • Intrusion recovery using selective re-execution

    Taesoo Kim;Xi Wang;Nickolai Zeldovich;M. Frans Kaashoek

  • HDFI: Hardware-Assisted Data-Flow Isolation

    Chengyu Song;Hyungon Moon;Monjur Alam;Insu Yun

  • S-NFV: Securing NFV states by using SGX

    Ming-Wei Shih;Mohan Kumar;Taesoo Kim;Ada Gavrilovska

  • Enforcing Unique Code Target Property for Control-Flow Integrity

    Hong Hu;Chenxiong Qian;Carter Yagemann;Simon Pak Ho Chung

  • OpenSGX: An Open Platform for SGX Research

    Prerit Jain;Soham Desai;Seong Min Kim;Ming Wei Shih

  • Designing New Operating Primitives to Improve Fuzzing Performance

    Wen Xu;Sanidhya Kashyap;Changwoo Min;Taesoo Kim

  • libmpk: Software Abstraction for Intel Memory Protection Keys (Intel MPK).

    Soyeon Park;Sangho Lee;Wen Xu;Hyungon Moon

Frequent Co-Authors

Wenke Lee
Wenke Lee Georgia Institute of Technology
Dongsu Han
Dongsu Han Korea Advanced Institute of Science and Technology
Marcus Peinado
Marcus Peinado Microsoft (United States)
Yongdae Kim
Yongdae Kim Korea Advanced Institute of Science and Technology
Alexandra Boldyreva
Alexandra Boldyreva Georgia Institute of Technology
Alessandro Orso
Alessandro Orso Georgia Institute of Technology
Bogdan Warinschi
Bogdan Warinschi University of Bristol
Jennifer Rexford
Jennifer Rexford Princeton University

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 the right educational path in Computer Science can open doors to a variety of careers. For those who want to fast-track their entry into tech, consider these easy certifications to get. Certifications are a practical way to gain specialized skills quickly, often in areas like cybersecurity, networking, or programming, and can lead to high-paying positions even without a four-year degree.

If you’re aiming for advanced roles, online graduate programs are becoming increasingly popular. Many universities now offer the shortest masters degree programs online, allowing you to earn a master’s degree in a year or less. This option is perfect for professionals seeking rapid career advancement without a long-term commitment.

It’s important to choose a credential that provides real value in the job market. Some of the most lucrative and respected IT positions require graduate degrees that are worth it. Programs focusing on data science, artificial intelligence, or software engineering are particularly in demand.

Not ready for a bachelor’s or master’s degree? Consider exploring online associates in computer science. These programs offer foundational IT knowledge and can quickly prepare you for entry-level roles or further study.

Best Scientists Citing Taesoo Kim

Trending Scientists