World's Best Scientists 2026 revealed!
Margaret Martonosi

Margaret Martonosi

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
70
Citations
28970
World Ranking
891
National Ranking
375

Computer Science

D-Index
83
Citations
33064
World Ranking
891
National Ranking
487

Margaret Martonosi 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 Margaret Martonosi 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: 309 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Margaret Martonosi 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 Margaret Martonosi 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: 83 D-Index — 94th percentile

94% 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

  • 2020 - Fellow of the American Academy of Arts and Sciences
  • 2018 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For contributions to power-aware computing and energy-constrained mobile sensor networks.
  • 2010 - IEEE Fellow For contributions to power-efficient computer architecture and systems design
  • 2009 - ACM Fellow For contributions in power-aware computing.

Overview

Margaret Martonosi is affiliated with Princeton University in the United States and has contributed extensively to the field of computer science, with a focus on various subfields and topics related to computing systems and quantum technologies.

The primary fields of their research include:

  • Computer Science

Within computer science, they specialize in several subfields:

  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Networks and Communications
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

The main topics covered in their work are:

  • Quantum Computing Algorithms and Architecture
  • Parallel Computing and Optimization Techniques
  • Quantum Information and Cryptography
  • Distributed and Parallel Computing Systems
  • Quantum and electron transport phenomena
  • Cloud Computing and Resource Management
  • Quantum Mechanics and Applications

Margaret Martonosi has authored numerous scholarly articles, some of the recent ones include:

  • "$O(N^3)$ Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians," published in 2020 in DOAJ (DOAJ: Directory of Open Access Journals)
  • "Quantum-centric supercomputing for materials science: A perspective on challenges and future directions," published in 2024 in Future Generation Computer Systems
  • "Resource-Efficient Quantum Computing by Breaking Abstractions," published in 2020 in Proceedings of the IEEE
  • "ARQUIN: Architectures for Multinode Superconducting Quantum Computers," published in 2024 in ACM Transactions on Quantum Computing
  • "Architectures for Multinode Superconducting Quantum Computers," published in 2022 in arXiv (Cornell University)

The frequent venues where Margaret Martonosi's research is published include:

  • arXiv (Cornell University)
  • IEEE Micro
  • Communications of the ACM
  • ACM Transactions on Architecture and Code Optimization
  • Proceedings of the ACM on Programming Languages

Throughout their research career, Margaret Martonosi has collaborated with multiple coauthors, among whom the most frequent are:

  • Esin Türeci
  • Teague Tomesh
  • Pranav Gokhale
  • Frederic T. Chong
  • Marcelo Orenes-Vera

Margaret Martonosi has received several awards and recognitions, such as:

  • Fellow of the American Academy of Arts and Sciences, 2020
  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society, 2018, for contributions to power-aware computing and energy-constrained mobile sensor networks
  • IEEE Fellow, 2010, for contributions to power-efficient computer architecture and systems design
  • ACM Fellow, 2009, for contributions in power-aware computing

Best Publications

  • Wattch: a framework for architectural-level power analysis and optimizations

    David Brooks;Vivek Tiwari;Margaret Martonosi

  • Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet

    Philo Juang;Hidekazu Oki;Yong Wang;Margaret Martonosi

  • Dynamic thermal management for high-performance microprocessors

    D. Brooks;M. Martonosi

  • Cache decay: exploiting generational behavior to reduce cache leakage power

    Stefanos Kaxiras;Zhigang Hu;Margaret Martonosi

  • Hardware design experiences in ZebraNet

    Pei Zhang;Christopher M. Sadler;Stephen A. Lyon;Margaret Martonosi

  • An Analysis of Efficient Multi-Core Global Power Management Policies: Maximizing Performance for a Given Power Budget

    C. Isci;A. Buyuktosunoglu;C.-Y. Chen;P. Bose

  • Runtime power monitoring in high-end processors: methodology and empirical data

    Canturk Isci;Margaret Martonosi

  • Techniques for Multicore Thermal Management: Classification and New Exploration

    James Donald;Margaret Martonosi

  • Impala: a middleware system for managing autonomic, parallel sensor systems

    Ting Liu;Margaret Martonosi

  • Erasure-coding based routing for opportunistic networks

    Yong Wang;Sushant Jain;Margaret Martonosi;Kevin Fall

  • Data compression algorithms for energy-constrained devices in delay tolerant networks

    Christopher M. Sadler;Margaret Martonosi

  • Identifying important places in people's lives from cellular network data

    Sibren Isaacman;Richard Becker;Ramón Cáceres;Stephen Kobourov

  • Power prediction for Intel XScale/spl reg/ processors using performance monitoring unit events

    Gilberto Contreras;Margaret Martonosi

  • Demo: SignalGuru: leveraging mobile phones for collaborative traffic signal schedule advisory

    Emmanouil Koukoumidis;Li-Shiuan Peh;Margaret Rose Martonosi

  • Live, Runtime Phase Monitoring and Prediction on Real Systems with Application to Dynamic Power Management

    Canturk Isci;Gilberto Contreras;Margaret Martonosi

  • Dynamically exploiting narrow width operands to improve processor power and performance

    D. Brooks;M. Martonosi

  • Cache miss equations: a compiler framework for analyzing and tuning memory behavior

    Somnath Ghosh;Margaret Martonosi;Sharad Malik

  • Run-time power estimation in high performance microprocessors

    Russ Joseph;Margaret Martonosi

  • Human mobility characterization from cellular network data

    Richard Becker;Ramón Cáceres;Karrie Hanson;Sibren Isaacman

  • Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers

    Prakash Murali;Jonathan M. Baker;Ali Javadi-Abhari;Frederic T. Chong

  • SignalGuru: Leveraging mobile phones for collaborative traffic signal schedule advisory

    Emmanouil Koukoumidis;Li-Shiuan Peh;Margaret Rose Martonosi

Frequent Co-Authors

Sharad Malik
Sharad Malik Princeton University
Douglas W. Clark
Douglas W. Clark Princeton University
Li-Shiuan Peh
Li-Shiuan Peh National University of Singapore
Frederic T. Chong
Frederic T. Chong University of Chicago
David Brooks
David Brooks Harvard University
Stefanos Kaxiras
Stefanos Kaxiras Uppsala University
Kevin Skadron
Kevin Skadron University of Virginia
Pranav Ashar
Pranav Ashar NEC (United States)
Carole-Jean Wu
Carole-Jean Wu Meta Platforms, Inc.
Ramón Cáceres
Ramón Cáceres Google (United States)

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