World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7176
World Ranking
10131
National Ranking
405

Alexandra Fedorova 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 Alexandra Fedorova 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: 102 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Alexandra Fedorova 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 Alexandra Fedorova 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: 38 D-Index — 30th percentile

30% 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

  • 2012 - Fellow of Alfred P. Sloan Foundation

Overview

Alexandra Fedorova is affiliated with the University of British Columbia in Canada. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields including Computer Networks and Communications, Hardware and Architecture, Industrial and Manufacturing Engineering, Renewable Energy, Sustainability and the Environment, and General Materials Science.

The main topics covered by their research include:

  • Parallel Computing and Optimization Techniques
  • Distributed systems and fault tolerance
  • Mechanical Systems and Engineering
  • Material Properties and Applications
  • Ergonomics and Human Factors
  • Distributed and Parallel Computing Systems
  • Embedded Systems Design Techniques

Their recent scholarly output comprises studies published in various venues, reflecting a range of interdisciplinary interests. The recent papers include:

  • Writes Hurt: Lessons in Cache Design for Optane NVRAM, 2022, arXiv (Cornell University)
  • Schedule data, not code, 2020, Open Collections
  • Conditions for the effective use of milking machines, 2022, E3S Web of Conferences
  • Trash Talk: Accelerating Garbage Collection on Integrated GPUs is Worthless, 2020, arXiv (Cornell University)
  • Research of authentication failure and ARP inject attacks and methods of their detection in IEEE 802.11 networks, 2021, Telecom IT

Frequent collaborators include G E Kokieva, Boris Kurochkin, Marfa Ivanova, Kyunne Timofeeva, and I.V. Borisova. These coauthors have contributed to the development of research in various interconnected domains.

The primary publication venues where Alexandra Fedorova's work appears most often are:

  • arXiv (Cornell University)
  • E3S Web of Conferences
  • Open Collections
  • Telecom IT
  • Science & World

Notable recognition includes being named a Fellow of the Alfred P. Sloan Foundation in 2012, a distinction indicating a level of professional acknowledgement within the research community.

Best Publications

  • Addressing shared resource contention in multicore processors via scheduling

    Sergey Zhuravlev;Sergey Blagodurov;Alexandra Fedorova

  • Hybrid transactional memory

    Peter Damron;Alexandra Fedorova;Yossi Lev;Victor Luchangco

  • Traffic management: a holistic approach to memory placement on NUMA systems

    Mohammad Dashti;Alexandra Fedorova;Justin Funston;Fabien Gaud

  • A case for NUMA-aware contention management on multicore systems

    Sergey Blagodurov;Alexandra Fedorova;Sergey Zhuravlev;Ali Kamali

  • A case for NUMA-aware contention management on multicore systems

    Sergey Blagodurov;Sergey Zhuravlev;Mohammad Dashti;Alexandra Fedorova

  • HASS: a scheduler for heterogeneous multicore systems

    Daniel Shelepov;Juan Carlos Saez Alcaide;Stacey Jeffery;Alexandra Fedorova

  • Improving Performance Isolation on Chip Multiprocessors via an Operating System Scheduler

    A. Fedorova;M. Seltzer

  • Contention-Aware Scheduling on Multicore Systems

    Sergey Blagodurov;Sergey Zhuravlev;Alexandra Fedorova

  • Survey of scheduling techniques for addressing shared resources in multicore processors

    Sergey Zhuravlev;Juan Carlos Saez;Sergey Blagodurov;Alexandra Fedorova

  • Survey of Energy-Cognizant Scheduling Techniques

    S. Zhuravlev;J. C. Saez;S. Blagodurov;A. Fedorova

  • Evaluation of the Intel® Core™ i7 Turbo Boost feature

    James Charles;Preet Jassi;Narayan S Ananth;Abbas Sadat

  • The Linux scheduler: a decade of wasted cores

    Jean-Pierre Lozi;Baptiste Lepers;Justin Funston;Fabien Gaud

  • A comprehensive scheduler for asymmetric multicore systems

    Juan Carlos Saez;Manuel Prieto;Alexandra Fedorova;Sergey Blagodurov

  • Performance of multithreaded chip multiprocessors and implications for operating system design

    Alexandra Fedorova;Margo Seltzer;Christoper Small;Daniel Nussbaum

  • Thread and memory placement on NUMA systems: asymmetry matters

    Baptiste Lepers;Vivien Quéma;Alexandra Fedorova

  • Managing contention for shared resources on multicore processors

    Alexandra Fedorova;Sergey Blagodurov;Sergey Zhuravlev

  • Large pages may be harmful on NUMA systems

    Fabien Gaud;Baptiste Lepers;Jeremie Decouchant;Justin Funston

  • AASH: an asymmetry-aware scheduler for hypervisors

    Vahid Kazempour;Ali Kamali;Alexandra Fedorova

  • Cache-Fair Thread Scheduling for Multicore Processors

    Alexandra Fedorova;Margo I. Seltzer;Michael D. Smith

  • Maximizing power efficiency with asymmetric multicore systems

    Alexandra Fedorova;Juan Carlos Saez;Daniel Shelepov;Manuel Prieto

Frequent Co-Authors

Margo Seltzer
Margo Seltzer University of British Columbia
Ivan Beschastnikh
Ivan Beschastnikh University of British Columbia
Gennady Pekhimenko
Gennady Pekhimenko University of Toronto
Garth A. Gibson
Garth A. Gibson Carnegie Mellon University
Shervin Shirmohammadi
Shervin Shirmohammadi University of Ottawa
Jian Pei
Jian Pei Duke University
Michael L. Scott
Michael L. Scott University of Rochester
Julia Lawall
Julia Lawall French Institute for Research in Computer Science and Automation - INRIA
Petros Maniatis
Petros Maniatis Google (United States)
Pascal Felber
Pascal Felber University of Neuchâtel

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