World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
12741
World Ranking
3275
National Ranking
1587

Alexandru Nicolau 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 Alexandru Nicolau 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: 364 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Alexandru Nicolau 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 Alexandru Nicolau 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: 60 D-Index — 78th percentile

78% 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

  • 2015 - IEEE Fellow For contributions to compiler technology and electronic design automation

Overview

Alexandru Nicolau is affiliated with the University of California, Irvine in the United States. Their research spans multiple domains within engineering and computer science, with a particular focus on electrical and electronic engineering, artificial intelligence, and related subfields.

Their main fields of study include:

  • Engineering
  • Computer Science

Subfields of study relevant to their work consist of:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Surgery
  • Materials Chemistry
  • Hardware and Architecture

The scientist's research topics cover:

  • Ferroelectric and Negative Capacitance Devices
  • Advanced Memory and Neural Computing
  • Neural Networks and Reservoir Computing
  • 2D Materials and Applications
  • Parallel Computing and Optimization Techniques
  • Sepsis Diagnosis and Treatment
  • Appendicitis Diagnosis and Management

Nicolau has contributed to research published in various venues, including:

  • arXiv (Cornell University)
  • Jurnalul de Chirurgie
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • Chirurgia
  • bioRxiv (Cold Spring Harbor Laboratory)

Selected recent publications include:

  • "GraphHD: Efficient graph classification using hyperdimensional computing," 2022, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • "Torchhd: An Open Source Python Library to Support Research on Hyperdimensional Computing and Vector Symbolic Architectures," 2022, arXiv (Cornell University)
  • "Hyperdimensional hashing," 2022, Proceedings of the 59th ACM/IEEE Design Automation Conference
  • "Detecting COVID-19 Related Pneumonia On CT Scans Using Hyperdimensional Computing," 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • "HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing," 2023, arXiv (Cornell University)

Frequent co-authors in Nicolau's research collaborations include:

  • Tony Givargis
  • Mike Heddes
  • Alexander V. Veidenbaum
  • Igor Nunes
  • Pere Vergés

Alexandru Nicolau has been recognized as an IEEE Fellow since 2015, for contributions to compiler technology and electronic design automation.

Best Publications

  • EXPRESSION: a language for architecture exploration through compiler/simulator retargetability

    Ashok Halambi;Peter Grun;Vijay Ganesh;Asheesh Khare

  • SPARK: a high-level synthesis framework for applying parallelizing compiler transformations

    S. Gupta;N. Dutt;R. Gupta;A. Nicolau

  • Automatic program parallelization

    U. Banerjee;R. Eigenmann;A. Nicolau;D.A. Padua

  • Efficient utilization of scratch-pad memory in embedded processor applications

    Preeti Ranjan Panda;Nikil D. Dutt;Alexandru Nicolau

  • Optimal loop parallelization

    A. Aiken;A. Nicolau

  • Memory Issues in Embedded Systems-on-Chip: Optimizations and Exploration

    Preeti Ranjan Panda;Alexandru Nicolau;Nikil Dutt

  • On-chip vs. off-chip memory: the data partitioning problem in embedded processor-based systems

    Preeti Ranjan Panda;Nikil D. Dutt;Alexandru Nicolau

  • Parallelizing programs with recursive data structures

    L.J. Hendren;A. Nicolau

  • Perfect Pipelining: A New Loop Parallelization Technique

    Alexander Aiken;Alexandru Nicolau

  • Partitioned register files for VLIWs: a preliminary analysis of tradeoffs

    Andrea Capitanio;Nikil Dutt;Alexandru Nicolau

  • Parallel processing: a smart compiler and a dumb machine

    Joseph A. Fisher;John R. Ellis;John C. Ruttenberg;Alexandru Nicolau

  • Profile-Based Dynamic Voltage Scheduling Using Program Checkpoints

    A. Azevedo;I. Issenin;R. Cornea;R. Gupta

  • Adapting cache line size to application behavior

    Alexander V. Veidenbaum;Weiyu Tang;Rajesh Gupta;Alexandru Nicolau

  • Memory Issues in Embedded Systems-on-Chip

    Preeti Ranjan Panda;Nikil Dutt;Alexandru Nicolau

  • Underdesigned and Opportunistic Computing in Presence of Hardware Variability

    P. Gupta;Y. Agarwal;L. Dolecek;N. Dutt

  • Adaptive Bitonic Sorting: An Optimal Parallel Algorithm for Shared Memory Machines

    Gianfranco Bilardi;Alexandru Nicolau

  • Measuring the Parallelism Available for Very Long Instruction Word Architectures

    Unknown

  • Integrated power management for video streaming to mobile handheld devices

    Shivajit Mohapatra;Radu Cornea;Nikil Dutt;Alex Nicolau

  • Percolation Scheduling: A Parallel Compilation Technique

    Alexandru Nicolau

  • A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

    Jayram Moorkanikara Nageswaran;Nikil Dutt;Jeffrey L. Krichmar;Alex Nicolau

  • Automatic program parallelization : Languages and compilers

    Uptal Banerjee;R. Eigenmann;A. Nicolau;D. A. Padua

Frequent Co-Authors

Nikil Dutt
Nikil Dutt University of California, Irvine
Rajesh Gupta
Rajesh Gupta University of California, San Diego
Constantine D. Polychronopoulos
Constantine D. Polychronopoulos University of Illinois at Urbana-Champaign
Puneet Gupta
Puneet Gupta University of California, Los Angeles
David Padua
David Padua University of Illinois at Urbana-Champaign
Alex Aiken
Alex Aiken Stanford University
Laurie Hendren
Laurie Hendren McGill University
David Gelernter
David Gelernter Yale University
Nalini Venkatasubramanian
Nalini Venkatasubramanian University of California, Irvine
Zhi Chen
Zhi Chen University of Kentucky

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