World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
9214
World Ranking
4900
National Ranking
2275

Jason Nieh 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 Jason Nieh 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: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Jason Nieh 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 Jason Nieh 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - ACM Fellow For contributions to operating systems, virtualization, and computer science education
  • 2019 - IEEE Fellow For contributions to virtualization, scheduling, and mobile computing

Overview

Jason Nieh is affiliated with Columbia University in the United States and specializes in the field of computer science. Their research focuses on various subfields including computer networks and communications, computational theory and mathematics, experimental and cognitive psychology, and information systems.

Their main lines of research cover topics such as distributed systems and fault tolerance, formal methods in verification, cognitive functions and memory, cloud data security solutions, and network security and intrusion detection.

Jason Nieh has published research in venues including the Proceedings of the ACM on Programming Languages and Foundations and Trends® in Privacy and Security.

  • Cloud Computing Security: Foundations and Research Directions (2022) in Foundations and Trends® in Privacy and Security
  • Mostly Automated Verification of Liveness Properties for Distributed Protocols with Ranking Functions (2024) in Proceedings of the ACM on Programming Languages

The scientist frequently collaborates with a range of co-authors, including Jianan Yao, Runzhou Tao, Ronghui Gu, Anrin Chakraborti, and Reza Curtmola.

Jason Nieh has been recognized as both an ACM Fellow and an IEEE Fellow in 2019. The ACM Fellowship citation highlights contributions to operating systems, virtualization, and computer science education, while the IEEE Fellowship citation notes contributions to virtualization, scheduling, and mobile computing.

Best Publications

  • The design and implementation of Zap: a system for migrating computing environments

    Steven Osman;Dinesh Subhraveti;Gong Su;Jason Nieh

  • A measurement study of google play

    Nicolas Viennot;Edward Garcia;Jason Nieh

  • The design and implementation of Zap: a system for migrating computing environments

    Unknown

  • The design, implementation and evaluation of SMART: a scheduler for multimedia applications

    Jason Nieh;Monica S. Lam

  • Cells: a virtual mobile smartphone architecture

    Jeremy Andrus;Christoffer Dall;Alexander Van't Hof;Oren Laadan

  • KVM/ARM: the design and implementation of the linux ARM hypervisor

    Christoffer Dall;Jason Nieh

  • THINC: a virtual display architecture for thin-client computing

    Ricardo A. Baratto;Leonard N. Kim;Jason Nieh

  • Methods, media, and systems for displaying information on a thin-client in communication with a network

    Ricardo Baratto;Jason Nieh

  • FiST: a language for stackable file systems

    Erez Zadok;Jason Nieh

  • ASSURE: automatic software self-healing using rescue points

    Stelios Sidiroglou;Oren Laadan;Carlos Perez;Nicolas Viennot

  • Volume rendering on scalable shared-memory MIMD architectures

    Jason Nieh;Marc Levoy

  • Measuring thin-client performance using slow-motion benchmarking

    Jason Nieh;S. Jae Yang;Naomi Novik

  • MobiDesk: mobile virtual desktop computing

    Ricardo A. Baratto;Shaya Potter;Gong Su;Jason Nieh

  • SVR4UNIX Scheduler Unacceptable for Multimedia Applications

    Jason Nieh;James G. Hanko;J. Duane Northcutt;Gerard A. Wall

  • On the performance of wide-area thin-client computing

    Albert M. Lai;Jason Nieh

  • Transparent, lightweight application execution replay on commodity multiprocessor operating systems

    Oren Laadan;Nicolas Viennot;Jason Nieh

  • Virtual-Time Round-Robin: An O(1) Proportional Share Scheduler

    Jason Nieh;Christopher Vaill;Hua Zhong

  • Methods, media and systems for responding to a denial of service attack

    Angelos Stavrou;Angelos D. Keromytis;Jason Nieh;Vishal Misra

  • The Performance of Remote Display Mechanisms for Thin-Client Computing

    S. Jae Yang;Jason Nieh;Matt Selsky;Nikhil Tiwari

  • Transparent checkpoint-restart of multiple processes on commodity operating systems

    Oren Laadan;Jason Nieh

  • Measuring Thin-Client Performance Using Slow-Motion Benchmarking

    S. Jae Yang;Jason Nieh;Naomi Novik

Frequent Co-Authors

Angelos D. Keromytis
Angelos D. Keromytis Georgia Institute of Technology
Angelos Stavrou
Angelos Stavrou Virginia Tech
Vishal Misra
Vishal Misra Columbia University
Monica S. Lam
Monica S. Lam Stanford University
Erez Zadok
Erez Zadok Stony Brook University
Dan Rubenstein
Dan Rubenstein Columbia University
Clifford Stein
Clifford Stein Columbia University
Justin Starren
Justin Starren Northwestern University
Steven M. Bellovin
Steven M. Bellovin Columbia University
Dakshi Agrawal
Dakshi Agrawal IBM (United States)

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