World's Best Scientists 2026 revealed!
Michael F. P. O'Boyle

Michael F. P. O'Boyle

D-Index & Metrics

Computer Science

D-Index
54
Citations
9012
World Ranking
4656
National Ranking
281

Michael F. P. O'Boyle 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 Michael F. P. O'Boyle 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: 215 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Michael F. P. O'Boyle 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 Michael F. P. O'Boyle 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Michael F. P. O'Boyle is affiliated with the University of Edinburgh in the United Kingdom. Their research spans multiple fields, with a primary focus on Computer Science and Social Sciences. Within these disciplines, they have contributed significantly to several subfields, including Political Science and International Relations, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, and Law.

Their main research topics cover a range of areas:

  • European Criminal Justice and Data Protection
  • Advanced Neural Network Applications
  • Parallel Computing and Optimization Techniques
  • European and International Law Studies
  • Software Engineering Research
  • Adversarial Robustness in Machine Learning
  • Software Testing and Debugging Techniques

O'Boyle's publication record includes work in various well-known academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Power and Energy Magazine
  • The Electricity Journal
  • ACM Transactions on Architecture and Code Optimization
  • Proceedings of the ACM on Programming Languages

Recent papers authored or co-authored by O'Boyle include:

  • "Carbon-Free Energy: How Much, How Soon?" (2021), IEEE Power and Energy Magazine
  • "A new era for rural electric cooperatives: New clean energy investments, supported by federal incentives, will reduce rates, emissions, and reliance on outside power" (2023), The Electricity Journal
  • "Learning C to x86 Translation: An Experiment in Neural Compilation" (2021), arXiv (Cornell University)
  • "Retrofitting Symbolic Holes to LLVM IR" (2020), arXiv (Cornell University)
  • "M3: Semantic API Migrations" (2020), arXiv (Cornell University)

Frequent collaborators in O'Boyle's research include:

  • Carla Buckley
  • Krešimir Kamber
  • ZoË Bryanston-Cross
  • Peter Cumper
  • Heather Green

In addition to journal and conference publications, O'Boyle has contributed to book literature. One notable book published with Oxford University Press is "Harris, O'Boyle, and Warbrick: Law of the European Convention on Human Rights" (2023).

Best Publications

  • Using Machine Learning to Focus Iterative Optimization

    F. Agakov;E. Bonilla;J. Cavazos;B. Franke

  • Rapidly Selecting Good Compiler Optimizations using Performance Counters

    John Cavazos;Grigori Fursin;Felix Agakov;Edwin Bonilla

  • Milepost GCC: Machine Learning Enabled Self-tuning Compiler

    Grigori Fursin;Yuriy Kashnikov;Abdul Wahid Memon;Zbigniew Chamski

  • A static task partitioning approach for heterogeneous systems using OpenCL

    Dominik Grewe;Michael F. P. O'Boyle

  • Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping

    Georgios Tournavitis;Zheng Wang;Björn Franke;Michael F.P. O'Boyle

  • Mapping parallelism to multi-cores: a machine learning based approach

    Zheng Wang;Michael F.P. O'Boyle

  • Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation

    T. Kisuki;P. M. W. Knijnenburg;M. F. P. O'Boyle

  • Machine Learning in Compiler Optimization

    Zheng Wang;Michael O'Boyle

  • Automatic feature generation for machine learning--based optimising compilation

    Hugh Leather;Edwin Bonilla;Michael O'boyle

  • Portable mapping of data parallel programs to OpenCL for heterogeneous systems

    D. Grewe;Zheng Wang;M. F. P. O'Boyle

  • Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

    Luigi Nardi;Bruno Bodin;M. Zeeshan Zia;John Mawer

  • Smart multi-task scheduling for OpenCL programs on CPU/GPU heterogeneous platforms

    Yuan Wen;Zheng Wang;Michael F. P. O'Boyle

  • Code Generation and Optimization, 2007. CGO '07. International Symposium on

    John Cavazos;Grigori Fursin;Felix Agakov;Edwin V. Bonilla

  • Automatic Feature Generation for Machine Learning Based Optimizing Compilation

    Hugh Leather;Edwin Bonilla;Michael O'Boyle

  • Evaluating iterative compilation

    G. G. Fursin;M. F. P. O'boyle;P. M. W. Knijnenburg

  • MILEPOST GCC: machine learning based research compiler

    Grigori Fursin;Cupertino Miranda;Olivier Temam;Mircea Namolaru

  • Method-specific dynamic compilation using logistic regression

    John Cavazos;Michael F. P. O'Boyle

  • Nonsingular Data Transformations: Definition, Validity, and Applications

    Michael F. P. O'Boyle;Peter M. W. Knijnenburg

  • Partitioning streaming parallelism for multi-cores: a machine learning based approach

    Zheng Wang;Michael F.P. O'Boyle

  • Fast compiler optimisation evaluation using code-feature based performance prediction

    Christophe Dubach;John Cavazos;Björn Franke;Grigori Fursin

  • Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation

    Peter M. W. Knijnenburg;Toru Kisuki;Michael F. P. O'Boyle

Frequent Co-Authors

Olivier Temam
Olivier Temam DeepMind (United Kingdom)
Amos Storkey
Amos Storkey University of Edinburgh
Zheng Wang
Zheng Wang University of Leeds
Jaume Abella
Jaume Abella Barcelona Supercomputing Center
Antonio Gonzalez
Antonio Gonzalez Universitat Politècnica de Catalunya
Andrew J. Davison
Andrew J. Davison Imperial College London
André Seznec
André Seznec French Institute for Research in Computer Science and Automation - INRIA
Keshav Pingali
Keshav Pingali The University of Texas at Austin
Steve Furber
Steve Furber University of Manchester
Trevor Mudge
Trevor Mudge University of Michigan–Ann Arbor

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

Pursuing a Computer Science degree in the USA opens up diverse pathways, some of which can be explored online for added flexibility. Many students build specialized skill sets by seeking programs focused on rapidly growing industries.

One popular path is earning a cyber security degree, which responds to the increasing need for digital safety and protection in organizations worldwide. Another highly practical route is taking construction management courses to break into the substantial and ever-evolving construction sector.

For those interested in law and public safety, a cheap criminal justice degree can be a gateway to careers in policing, legal research, and forensic analysis. Additionally, students can consider an online accountant degree to meet the demand for finance and accounting expertise in both private and public sectors.

Exploring these related programs can broaden your career opportunities beyond core computer science roles, equipping you with versatile skills relevant to today’s digital and data-driven economy.

Best Scientists Citing Michael F. P. O'Boyle

Trending Scientists