World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7423
World Ranking
6587
National Ranking
2912

Mary K. Vernon 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 Mary K. Vernon 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: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Mary K. Vernon 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 Mary K. Vernon 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: 47 D-Index — 56th percentile

56% 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

  • 1996 - ACM Fellow For fundamental contributions to performance analysis of parallel computer architectures and for leadership in the computing research community.

Overview

Mary K. Vernon is affiliated with the University of Wisconsin-Madison in the United States. Their academic career includes recognition as an ACM Fellow in 1996, awarded for fundamental contributions to the performance analysis of parallel computer architectures and for leadership in the computing research community.

Their research interests include performance analysis within computer architecture, with a particular focus on parallel computing systems. This specialization involves examining how parallel architectures can be optimized and understood through detailed performance models and analysis techniques.

No specific recent papers, co-authors, or publication venues have been listed, and there is no information on book publications or detailed topics of work available. However, the award citation indicates a central role in advancing understanding in parallel computer architectures through rigorous performance assessment.

The contribution to performance analysis of parallel architectures suggests work within the fields of computer systems engineering and parallel processing. Additionally, their leadership in the computing research community points to involvement in academic or professional activities beyond research, likely including service roles and collaboration facilitation.

This profile reflects a focus on nuanced technical challenges in computer architecture, backed by formal recognition within the computing research community.

Best Publications

  • Minimizing bandwidth requirements for on-demand data delivery

    D. Eager;M. Vernon;J. Zahorjan

  • A Generalized Timed Petri Net Model for Performance Analysis

    M.A. Holliday;M.K. Vernon

  • Efficient synchronization primitives for large-scale cache-coherent multiprocessors

    James R. Goodman;Mary K. Vernon;Philip J. Woest

  • The performance of multiprogrammed multiprocessor scheduling algorithms

    Scott T. Leutenegger;Mary K. Vernon

  • Analysis of educational media server workloads

    Jussara M. Almeida;Jeffrey Krueger;Derek L. Eager;Mary K. Vernon

  • Optimal and efficient merging schedules for video-on-demand servers

    Derek Eager;Mary Vernon;John Zahorjan

  • Performance analysis of mesh interconnection networks with deterministic routing

    V.S. Adve;M.K. Vernon

  • Bandwidth Skimming: A Technique for Cost-Effective Video-on-Demand *

    Derek L. Eager;Mary K. Vernon;John Zahorjan

  • Dynamic Skyscraper Broadcasts for Video-on-Demand

    Derek L. Eager;Mary K. Vernon

  • Mapping internet sensors with probe response attacks

    John Bethencourt;Jason Franklin;Mary Vernon

  • Characterizing the query behavior in peer-to-peer file sharing systems

    Alexander Klemm;Christoph Lindemann;Mary K. Vernon;Oliver P. Waldhorst

  • The Impact of More Accurate Requested Runtimes on Production Job Scheduling Performance

    Su-Hui Chiang;Andrea C. Arpaci-Dusseau;Mary K. Vernon

  • The Performance of Multiprogrammed Multiprocessor Scheduling Policies

    Unknown

  • Analytic evaluation of shared-memory systems with ILP processors

    Daniel J. Sorin;Vijay S. Pai;Sarita V. Adve;Mary K. Vernon

  • Optimized Regional Caching for On-Demand Data Delivery

    Derek L. Eager;Michael C. Ferris;Mary K. Vernon

  • Re-Examining the Performance of MRP and Kanban Material Control Strategies for Multi-Product Flexible Manufacturing Systems

    Ananth Krishnamurthy;Rajan Suri;Mary Vernon

  • POEMS: end-to-end performance design of large parallel adaptive computational systems

    V.S. Adve;R. Bagrodia;J.C. Browne;E. Deelman

  • LoPC: modeling contention in parallel algorithms

    Matthew I. Frank;Anant Agarwal;Mary K. Vernon

  • Use of application characteristics and limited preemption for run-to-completion parallel processor scheduling policies

    Su-Hui Chiang;Rajesh K. Mansharamani;Mary K. Vernon

  • SARA (System ARchitects Apprentice): Modeling, analysis, and simulation support for design of concurrent systems

    G. Estrin;R. S. Fenchel;R. R. Razouk;M. K. Vernon

  • Poems: end-to-end performance design of large parallel adaptive computational systems

    Ewa Deelman;Aditya Dube;Adolfy Hoisie;Yong Luo

  • Performance analysis of mesh interconnection networks with deterministic routing

    Vikram S. Adve;Mary K. Vernon

Frequent Co-Authors

Derek L. Eager
Derek L. Eager University of Saskatchewan
Vikram Adve
Vikram Adve University of Illinois at Urbana-Champaign
Rajan Suri
Rajan Suri University of Wisconsin–Madison
Jussara M. Almeida
Jussara M. Almeida Universidade Federal de Minas Gerais
Daniel J. Sorin
Daniel J. Sorin Duke University
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
James C. Browne
James C. Browne The University of Texas at Austin
John R. Rice
John R. Rice Purdue University West Lafayette
Michael C. Ferris
Michael C. Ferris University of Wisconsin–Madison

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 online education in Computer Science opens doors to a range of flexible and rewarding options. If you’re looking to accelerate your journey, consider the quickest degree to get online. These programs let you build skills fast and enter the workforce sooner, often in high-demand tech fields.

As technology evolves, there is a growing need for specialists in fields like artificial intelligence. Earning degrees in AI can give you a competitive edge and align your education with future job markets—all from the convenience of your home.

Choosing the right program in college is essential, as it can shape your career pathway and earning potential. An online degree lets you customize your pace and focus, with educational options that fit many learning styles.

For those considering graduate studies, pursuing an easy masters degree can help you advance your career while balancing work and life commitments. No matter which route you choose, online education offers the flexibility to gain valuable credentials and thrive in the growing tech industry.

Best Scientists Citing Mary K. Vernon

Trending Scientists

Recently Published Articles