World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5298
World Ranking
11691
National Ranking
157

Douglas L. Maskell 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 Douglas L. Maskell 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: 198 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Douglas L. Maskell 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 Douglas L. Maskell 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Douglas L. Maskell is affiliated with Nanyang Technological University in Singapore. Their research spans multiple areas within engineering and computer science with a focus on electrical and electronic engineering, biomedical engineering, hardware and architecture, computer networks and communications, and computational theory and mathematics.

The scientist has contributed extensively to the following topics:

  • Low-power high-performance VLSI design
  • Analog and Mixed-Signal Circuit Design
  • Advancements in Semiconductor Devices and Circuit Design
  • Parallel Computing and Optimization Techniques
  • Interconnection Networks and Systems
  • Embedded Systems Design Techniques
  • Radiation Effects in Electronics

Douglas L. Maskell's publication record includes papers in venues such as Electronics, arXiv (Cornell University), Microelectronics Reliability, Journal of Low Power Electronics and Applications, and IEEE Access. The scientist has published 10 papers in Electronics, 3 in arXiv, 2 in Microelectronics Reliability, 2 in the Journal of Low Power Electronics and Applications, and 1 in IEEE Access.

Recent papers authored or co-authored by Maskell include:

  • An Approximate Adder With a Near-Normal Error Distribution: Design, Error Analysis and Practical Application (2020, IEEE Access)
  • Approximate Array Multipliers (2021, Electronics)
  • Coarse Grained FPGA Overlay for Rapid Just-In-Time Accelerator Compilation (2021, IEEE Transactions on Parallel and Distributed Systems)
  • Gate-Level Static Approximate Adders: A Comparative Analysis (2021, Electronics)
  • Speed, energy and area optimized early output quasi-delay-insensitive array multipliers (2020, PLoS ONE)

Frequent collaborators include Padmanabhan Balasubramanian, Raunaq Nayar, Nikos E. Mastorakis, Okkar Min, and Abhishek Kumar Jain. Among these, Padmanabhan Balasubramanian is the most frequent co-author with 21 joint publications.

Best Publications

  • A novel ant colony optimization-based maximum power point tracking for photovoltaic systems under partially shaded conditions

    Lian Lian Jiang;Douglas L. Maskell;Jagdish C. Patra

  • CUDASW++: optimizing Smith-Waterman sequence database searches for CUDA-enabled graphics processing units

    Yongchao Liu;Douglas L Maskell;Bertil Schmidt

  • Parameter estimation of solar cells and modules using an improved adaptive differential evolution algorithm

    Lian Lian Jiang;Douglas L. Maskell;Jagdish C. Patra

  • MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities.

    Yongchao Liu;Bertil Schmidt;Douglas L. Maskell

  • CUDASW++ 2.0: enhanced Smith-Waterman protein database search on CUDA-enabled GPUs based on SIMT and virtualized SIMD abstractions

    Yongchao Liu;Bertil Schmidt;Douglas L Maskell

  • CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows–Wheeler transform

    Yongchao. Liu;Bertil. Schmidt;Douglas Leslie. Maskell

  • Using reconfigurable hardware to accelerate multiple sequence alignment with ClustalW

    Tim Oliver;Bertil Schmidt;Darran Nathan;Ralf Clemens

  • Hyper customized processors for bio-sequence database scanning on FPGAs

    Tim Oliver;Bertil Schmidt;Douglas Maskell

  • MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA

    Yongchao Liu;Bertil Schmidt;Douglas L. Maskell

  • Reconfigurable architectures for bio-sequence database scanning on FPGAs

    T.F. Oliver;B. Schmidt;D.L. Maskell

  • A high accuracy microwave ranging system for industrial applications

    G.S. Woods;D.L. Maskell;M.V. Mahoney

  • CUDA-MEME: Accelerating motif discovery in biological sequences using CUDA-enabled graphics processing units

    Yongchao Liu;Bertil Schmidt;Weiguo Liu;Douglas L. Maskell

  • A multidisciplinary cooperative problem-based learning approach to embedded systems design

    D.L. Maskell;P.J. Grabau

  • A hybrid maximum power point tracking for partially shaded photovoltaic systems in the tropics

    Lian Lian Jiang;D.R. Nayanasiri;Douglas L. Maskell;D.M. Vilathgamuwa

  • Parallelized short read assembly of large genomes using de Bruijn graphs

    Yongchao Liu;Bertil Schmidt;Douglas L Maskell

  • Automatic fault detection and diagnosis for photovoltaic systems using combined artificial neural network and analytical based methods

    Lian Lian Jiang;Douglas L. Maskell

  • The discrete-time quadrature subsample estimation of delay

    D.L. Maskell;G.S. Woods

  • Fast Identification of Custom Instructions for Extensible Processors

    Xiaoyong Chen;D.L. Maskell;Yang Sun

  • DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI.

    Yongchao Liu;Bertil Schmidt;Douglas L Maskell

  • Efficient Overlay Architecture Based on DSP Blocks

    Abhishek Kumar Jain;Suhaib A. Fahmy;Douglas L. Maskell

Frequent Co-Authors

Bertil Schmidt
Bertil Schmidt Johannes Gutenberg University of Mainz
D.M. Vilathgamuwa
D.M. Vilathgamuwa Queensland University of Technology
Suhaib A. Fahmy
Suhaib A. Fahmy King Abdullah University of Science and Technology
Jagdish C. Patra
Jagdish C. Patra Swinburne University of Technology
Chai Quek
Chai Quek Nanyang Technological University
Bingsheng He
Bingsheng He National University of Singapore
A. P. Vinod
A. P. Vinod Singapore Institute of Technology
Pramod Kumar Meher
Pramod Kumar Meher Sandhaan Labs Private Limited
Xinan Zhang
Xinan Zhang University of Western Australia
William T. Pu
William T. Pu Boston Children's Hospital

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