World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
13374
World Ranking
4281
National Ranking
2018

Frank Mueller 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 Frank Mueller 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: 305 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Frank Mueller 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 Frank Mueller 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: 55 D-Index — 71st percentile

71% 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

  • 2018 - ACM Fellow For contributions to the predictability of real-time systems, resilience in high-performance computing, and multi-threading techniques
  • 2016 - IEEE Fellow For contributions to timing analysis of real-time systems
  • 2011 - ACM Distinguished Member
  • 2006 - ACM Senior Member
  • 1963 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Frank Mueller is a researcher affiliated with North Carolina State University in the United States, with a focus on computer science and related subfields. Their work spans multiple areas including computer networks and communications, artificial intelligence, hardware and architecture, computer vision and pattern recognition, and molecular biology.

The main fields of study and topics explored in their research include:

  • Distributed systems and fault tolerance
  • Software system performance and reliability
  • Real-time systems scheduling
  • Parallel computing and optimization techniques
  • Cloud computing and resource management
  • Quantum computing algorithms and architecture
  • Neural networks and reservoir computing

Frank Mueller's recent publication record highlights contributions to various interdisciplinary domains. Selected papers include:

  • "NUMA-aware memory coloring for multicore real-time systems," 2021, Journal of Systems Architecture
  • "Hummingbird: efficient performance prediction for executing genomic applications in the cloud," 2021, Bioinformatics
  • "BarrierFinder: recognizing ad hoc barriers," 2020, Empirical Software Engineering
  • "Guest editorial: Special issue on the 2020 IEEE symposium on real-time distributed computing (ISORC)," 2022, Journal of Systems Architecture
  • "P-ckpt: Coordinated Prioritized Checkpointing," 2022, 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Their frequent co-authors include:

  • Srikar Chundury
  • In-Saeng Suh
  • Xing Pan
  • Amir Bahmani
  • Ziye Xing

Publication venues where Frank Mueller has regularly contributed encompass:

  • arXiv (Cornell University)
  • Journal of Systems Architecture
  • Bioinformatics
  • Empirical Software Engineering
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Their academic recognition includes fellowships and distinctions such as:

  • ACM Fellow (2018) for contributions to the predictability of real-time systems, resilience in high-performance computing, and multi-threading techniques
  • IEEE Fellow (2016) for contributions to timing analysis of real-time systems
  • ACM Distinguished Member (2011)
  • ACM Senior Member (2006)
  • Fellow of the American Association for the Advancement of Science (AAAS), awarded in 1963

Best Publications

  • The worst-case execution-time problem—overview of methods and survey of tools

    Reinhard Wilhelm;Jakob Engblom;Andreas Ermedahl;Niklas Holsti

  • Proactive fault tolerance for HPC with Xen virtualization

    Arun Babu Nagarajan;Frank Mueller;Christian Engelmann;Stephen L. Scott

  • Analyzing and modeling encryption overhead for sensor network nodes

    Prasanth Ganesan;Ramnath Venugopalan;Pushkin Peddabachagari;Alexander Dean

  • Bounding pipeline and instruction cache performance

    C.A. Healy;R.D. Arnold;F. Mueller;D.B. Whalley

  • * Bounding Worst-case Instruction Cache Performance

    Robert D. Arnold;Frank Mueller;David B. Whalley;Marion G. Harmon

  • A Library Implementation of POSIX Threads under UNIX.

    Frank Mueller

  • Timing Analysis for Instruction Caches

    Frank Mueller

  • Feedback EDF Scheduling of Real-Time Tasks Exploiting Dynamic Voltage Scaling

    Yifan Zhu;Frank Mueller

  • Detection and correction of silent data corruption for large-scale high-performance computing

    David Fiala;Frank Mueller;Christian Engelmann;Rolf Riesen

  • Communication characteristics of large-scale scientific applications for contemporary cluster architectures

    J. S. Vetter;F. Mueller

  • Proactive process-level live migration in HPC environments

    Chao Wang;Frank Mueller;Christian Engelmann;Stephen L. Scott

  • Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution

    Leo T. Yang;Xiaosong Ma;Frank Mueller

  • Compiler support for software-based cache partitioning

    Frank Mueller

  • Timing analysis for data caches and set-associative caches

    R.T. White;F. Mueller;C.A. Healy;D.B. Whalley

  • Detection and correction of silent data corruption for large-scale high-performance computing

    Unknown

  • Combining Partial Redundancy and Checkpointing for HPC

    James Elliott;Kishor Kharbas;David Fiala;Frank Mueller

  • A Comparison of Static Analysis and Evolutionary Testing for the Verification of Timing Constraints

    Joachim Wegener;Frank Mueller

  • Feedback EDF scheduling exploiting dynamic voltage scaling

    Yifan Zhu;F. Mueller

  • ScalaTrace: Scalable compression and replay of communication traces for high-performance computing

    Michael Noeth;Prasun Ratn;Frank Mueller;Martin Schulz

  • Auto-generation and auto-tuning of 3D stencil codes on GPU clusters

    Yongpeng Zhang;Frank Mueller

  • Time-based intrusion detection in cyber-physical systems

    Christopher Zimmer;Balasubramanya Bhat;Frank Mueller;Sibin Mohan

Frequent Co-Authors

David Whalley
David Whalley Florida State University
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Martin Schulz
Martin Schulz Technical University of Munich
Jack R. Edwards
Jack R. Edwards North Carolina State University
Hong Luo
Hong Luo North Carolina State University
Sally A. McKee
Sally A. McKee Chalmers University of Technology
Viktor K. Prasanna
Viktor K. Prasanna University of Southern California
Laxmikant V. Kale
Laxmikant V. Kale University of Illinois at Urbana-Champaign
Ron Brightwell
Ron Brightwell Sandia National Laboratories
Mihail L. Sichitiu
Mihail L. Sichitiu North Carolina State 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

If you’re interested in studying Computer Science in the USA, exploring related online degrees can expand your career options and make education more accessible. Online learning allows you to balance your studies with work or other commitments, and there are many programs designed to fit your schedule and budget.

For those seeking cost-effective management skills, consider the cheapest mba programs available online. These programs are a great way to gain leadership experience and are often highly valued by employers in the tech industry.

If you’re eager to finish your degree quickly, look into online master's programs that can be completed in as little as one year. Fast-tracked options save you time while providing advanced expertise.

Not sure which path to take? Explore the best online degrees that lead to high-paying and rewarding tech careers. These courses often cover topics like data analytics, cybersecurity, and more.

For those passionate about new technologies, the best online masters in artificial intelligence provide in-depth knowledge in AI—a rapidly growing and innovative field.

Best Scientists Citing Frank Mueller

Trending Scientists

Recently Published Articles