World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8031
World Ranking
10551
National Ranking
4423

David Whalley 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 David Whalley 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: 141 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

David Whalley 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 David Whalley 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: 37 D-Index — 27th percentile

27% 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

  • 2017 - IEEE Fellow For contributions to architectural and compilation techniques to meet embedded system constraints
  • 2009 - ACM Senior Member
  • 2009 - ACM Distinguished Member

Overview

David Whalley is affiliated with Florida State University in the United States. Their research spans the fields of computer science and medicine, with particular attention to cardiology and cardiovascular medicine, artificial intelligence, hardware architecture, computer science applications, and organic chemistry.

The scientist has contributed to multiple topics, including:

  • Cardiac Valve Diseases and Treatments
  • Teaching and Learning Programming
  • CO2 Reduction Techniques and Catalysts
  • Cardiac pacing and defibrillation studies
  • Cardiovascular Function and Risk Factors
  • Artificial Intelligence in Healthcare and Education
  • Machine Learning in Healthcare

David Whalley has coauthored works with several frequent collaborators:

  • Shuang-Nan Zhang
  • Ravinay Bhindi
  • K. Bhatia
  • Bernard P.L. Chan
  • Alexandra Baer

Their recent publications include:

  • "Prospective observational study on the accuracy of predictors of high-grade atrioventricular conduction block after transcatheter aortic valve implantation (CONDUCT-TAVI): study protocol, background and significance" (2023, BMJ Open)
  • "Utility of conversational artificial intelligence with large language models for patient information on cardiac electrophysiology procedures" (2024, Heart Rhythm)
  • "Decreasing the Miss Rate and Eliminating the Performance Penalty of a Data Filter Cache" (2021, ACM Transactions on Architecture and Code Optimization)
  • "The domestic computer science graduate students are there, we just need to recruit them" (2021, Communications of the ACM)
  • "Graphical Abstract: Angew. Chem. Int. Ed. 41/2021" (2021, Angewandte Chemie International Edition)

The venues where these works have appeared most frequently include BMJ Open, Heart Rhythm, ACM Transactions on Architecture and Code Optimization, Communications of the ACM, and Angewandte Chemie International Edition.

David Whalley has also authored a book published by Florida State Open Publishing eBooks titled Mathematics Integrated with Computer Science through Scratch: Curricular Modules for the Middle Grades, released in 2024.

The scientist's contributions have been recognized by several professional distinctions: they were named an IEEE Fellow in 2017 for contributions to architectural and compilation techniques to meet embedded system constraints. In addition, they attained the status of ACM Senior Member and ACM Distinguished Member in 2009.

Best Publications

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

    Reinhard Wilhelm;Jakob Engblom;Andreas Ermedahl;Niklas Holsti

  • 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

  • Improving Memory Hierarchy Performance for Irregular Applications Using Data and Computation Reorderings

    John Mellor-Crummey;David Whalley;Ken Kennedy

  • Integrating the timing analysis of pipelining and instruction caching

    C.A. Healy;D.B. Whalley;M.G. Harmon

  • Timing analysis for data caches and set-associative caches

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

  • Supporting Timing Analysis by Automatic Bounding of LoopIterations

    Christopher Healy;Mikael Sjödin;Viresh Rustagi;David Whalley

  • Guaranteeing Hits to Improve the Efficiency of a Small Instruction Cache

    Stephen Hines;David Whalley;Gary Tyson

  • Bounding loop iterations for timing analysis

    C. Healy;M. Sjodin;V. Rustagi;D. Whalley

  • Fast searches for effective optimization phase sequences

    Prasad Kulkarni;Stephen Hines;Jason Hiser;David Whalley

  • Finding effective optimization phase sequences

    Prasad Kulkarni;Wankang Zhao;Hwashin Moon;Kyunghwan Cho

  • Improving memory hierarchy performance for irregular applications

    John Mellor-Crummey;David Whalley;Ken Kennedy

  • Avoiding conditional branches by code replication

    Frank Mueller;David B. Whalley

  • A retargetable technique for predicting execution time

    M.G. Harmon;T.P. Baker;D.B. Whalley

  • Remix: On-demand Live Randomization

    Yue Chen;Zhi Wang;David Whalley;Long Lu

  • Parametric Timing Analysis

    Emilio Vivancos;Christopher Healy;Frank Mueller;David Whalley

  • Timing Analysis for Data and Wrap-Around Fill Caches

    Randall T. White;Frank Mueller;Chris Healy;David Whalley

  • Automatic detection and exploitation of branch constraints for timing analysis

    C.A. Healy;D.B. Whalley

  • Practical exhaustive optimization phase order exploration and evaluation

    Prasad A. Kulkarni;David B. Whalley;Gary S. Tyson;Jack W. Davidson

  • Avoiding unconditional jumps by code replication

    Frank Mueller;David B. Whalley

Frequent Co-Authors

Frank Mueller
Frank Mueller North Carolina State University
Jack W. Davidson
Jack W. Davidson University of Virginia
Per Stenström
Per Stenström Chalmers University of Technology
John Mellor-Crummey
John Mellor-Crummey Rice University
Douglas L. Jones
Douglas L. Jones University of Illinois at Urbana-Champaign
Kyle A. Gallivan
Kyle A. Gallivan Florida State University
David Kaeli
David Kaeli Northeastern University
Ken Kennedy
Ken Kennedy Rice University
Koen De Bosschere
Koen De Bosschere Ghent University
Reinhard Wilhelm
Reinhard Wilhelm Saarland University

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