World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9270
World Ranking
6182
National Ranking
2773

David Kaeli 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 Kaeli 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: 382 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

David Kaeli 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 Kaeli 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: 48 D-Index — 58th percentile

58% 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

  • 2014 - ACM Distinguished Member

Overview

David Kaeli is affiliated with Northeastern University in the United States. Their research spans across the fields of Computer Science and Engineering, with significant contributions in several specialized subfields. These subfields include Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, and Computer Networks and Communications.

The scientist's research interests are reflected in the main topics covered in their publications. These include Parallel Computing and Optimization Techniques, Advanced Neural Network Applications, Advanced Memory and Neural Computing, Cloud Computing and Resource Management, Advanced Data Storage Technologies, Ferroelectric and Negative Capacitance Devices, and Image and Signal Denoising Methods.

David Kaeli has published in a variety of venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Hazardous Materials
  • IEEE Transactions on Parallel and Distributed Systems
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Recent papers include titles such as:

  • "Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "ArmorAll," 2020, published in ACM Transactions on Architecture and Code Optimization
  • "An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration," 2022, in Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
  • "Machine learning-based biomarkers identification from toxicogenomics - Bridging to regulatory relevant phenotypic endpoints," 2021, published in Journal of Hazardous Materials
  • "Effects of trust-based decision making in disrupted supply chains," 2020, published in PLoS ONE

The scientist's frequent collaborators include José Luis Abellán, Nícolas Bohm Agostini, Yifan Sun, Ajay Joshi, and John Kim.

David Kaeli is also an author of a book titled ACCELERATED COMPUTING WITH HIP, published by LCC MAKS Press eBooks in 2024.

In recognition of their contributions, David Kaeli was awarded the ACM Distinguished Member honor in 2014.

Best Publications

  • Multi2Sim: a simulation framework for CPU-GPU computing

    Rafael Ubal;Byunghyun Jang;Perhaad Mistry;Dana Schaa

  • Heterogeneous Computing with OpenCL

    Benedict Gaster;Lee Howes;David R. Kaeli;Perhaad Mistry

  • Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

    Byunghyun Jang;Dana Schaa;Perhaad Mistry;David Kaeli

  • Branch history table prediction of moving target branches due to subroutine returns

    David R. Kaeli;Philip G. Emma

  • Eliminating microarchitectural dependency from Architectural Vulnerability

    Vilas Sridharan;David R. Kaeli

  • Bi-criteria models for all-uses test suite reduction

    Jennifer Black;Emanuel Melachrinoudis;David Kaeli

  • Analyzing and Increasing the Reliability of Convolutional Neural Networks on GPUs

    Fernando Fernandes dos Santos;Pedro Foletto Pimenta;Caio Lunardi;Lucas Draghetti

  • Welcome to the opportunities of binary translation

    E.R. Altman;D. Kaeli;Y. Sheffer

  • VMM-based intrusion detection system

    Micha Moffie;David Kaeli;Aviram Cohen;Javed Aslam

  • Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms

    Leiming Yu;Fanny Nina-Paravecino;David R. Kaeli;Qianqian Fang

  • Efficient procedure mapping using cache line coloring

    Amir H. Hashemi;David R. Kaeli;Brad Calder

  • Exploring the multiple-GPU design space

    Dana Schaa;David Kaeli

  • Heterogeneous Computing with OpenCL 2.0

    David R. Kaeli;Perhaad Mistry;Dana Schaa;Dong Ping Zhang

  • Quantifying load imbalance on virtualized enterprise servers

    Emmanuel Arzuaga;David R. Kaeli

  • Balancing Performance and Reliability in the Memory Hierarchy

    G.-H. Asadi;Vilas Sridharan;M.B. Tahoori;D. Kaeli

  • Hetero-mark, a benchmark suite for CPU-GPU collaborative computing

    Yifan Sun;Xiang Gong;Amir Kavyan Ziabari;Leiming Yu

  • A complete key recovery timing attack on a GPU

    Zhen Hang Jiang;Yunsi Fei;David Kaeli

  • A finite state model for respiratory motion analysis in image guided radiation therapy.

    Huanmei Wu;Gregory C Sharp;Betty Salzberg;David Kaeli

  • Using Benchmarks for Radiation Testing of Microprocessors and FPGAs

    Heather Quinn;William H. Robinson;Paolo Rech;Miguel Aguirre

  • Virtual machine monitor-based lightweight intrusion detection

    Fatemeh Azmandian;Micha Moffie;Malak Alshawabkeh;Jennifer Dy

  • Introduction to Parallel Programming

    Benedict R. Gaster;Lee Howes;David R. Kaeli;Perhaad Mistry

Frequent Co-Authors

Jennifer G. Dy
Jennifer G. Dy Northeastern University
Javed A. Aslam
Javed A. Aslam Northeastern University
Akram N. Alshawabkeh
Akram N. Alshawabkeh Northeastern University
John Kim
John Kim University of California, Los Angeles
Mehdi B. Tahoori
Mehdi B. Tahoori Karlsruhe Institute of Technology
Antonio Gonzalez
Antonio Gonzalez Universitat Politècnica de Catalunya
John D. Meeker
John D. Meeker University of Michigan–Ann Arbor
April Z. Gu
April Z. Gu Cornell University
Gregory C. Sharp
Gregory C. Sharp Harvard University
Stacy Marsella
Stacy Marsella Northeastern University

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