World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
17014
World Ranking
1798
National Ranking
908

Thomas Moscibroda 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 Thomas Moscibroda 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: 250 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Thomas Moscibroda 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 Thomas Moscibroda 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: 71 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Overview

Thomas Moscibroda is affiliated with Microsoft in the United States and has contributed research primarily within the fields of Computer Science and Engineering. Their work largely focuses on areas such as Cloud Computing and Resource Management, Scientific Computing and Data Management, Distributed and Parallel Computing Systems, Optimization and Packing Problems, Advanced Manufacturing and Logistics Optimization, Scheduling and Optimization Algorithms, and Network Security and Intrusion Detection.

The scientist's publication record includes multiple papers across various prominent venues. Notable recent papers include:

  • "Toward ML-centric cloud platforms", 2020, Communications of the ACM
  • "Solving the Batch Stochastic Bin Packing Problem in Cloud", 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "RCInvestigator: Towards Better Investigation of Anomaly Root Causes in Cloud Computing Systems", 2024, arXiv (Cornell University)
  • "An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing", 2024, arXiv (Cornell University)

Moscibroda's frequent coauthors include Qingwei Lin (3 publications), Saravan Rajmohan (2 publications), Ricardo Bianchini, Marcus Fontoura, and Eli Cortez. These collaborations span work published in venues such as arXiv (Cornell University), Communications of the ACM, and the ACM SIGKDD Conference.

They have concentrated research efforts in several subfields including Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering, Information Systems and Management, and Artificial Intelligence. This multidisciplinary approach is reflected in the diversity of topics covered in their publications.

Key research topics addressed by Moscibroda encompass:

  • Cloud Computing and Resource Management
  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Optimization and Packing Problems
  • Advanced Manufacturing and Logistics Optimization
  • Scheduling and Optimization Algorithms
  • Network Security and Intrusion Detection

The scientist has not been listed with any specific awards or book publications. Their publication record and research interests indicate active engagement with emerging computational technologies and methodologies, particularly in the context of cloud computing infrastructure and optimization challenges.

Best Publications

  • Parallelism-Aware Batch Scheduling: Enhancing both Performance and Fairness of Shared DRAM Systems

    Onur Mutlu;Thomas Moscibroda

  • Stall-Time Fair Memory Access Scheduling for Chip Multiprocessors

    Onur Mutlu;Thomas Moscibroda

  • Flikker: saving DRAM refresh-power through critical data partitioning

    Song Liu;Karthik Pattabiraman;Thomas Moscibroda;Benjamin G. Zorn

  • White space networking with wi-fi like connectivity

    Paramvir Bahl;Ranveer Chandra;Thomas Moscibroda;Rohan Murty

  • A case for bufferless routing in on-chip networks

    Thomas Moscibroda;Onur Mutlu

  • What cannot be computed locally

    Fabian Kuhn;Thomas Moscibroda;Rogert Wattenhofer

  • SenseLess: A database-driven white spaces network

    Rohan Murty;Ranveer Chandra;Thomas Moscibroda;Paramvir Bahl

  • A case for adapting channel width in wireless networks

    Ranveer Chandra;Ratul Mahajan;Thomas Moscibroda;Ramya Raghavendra

  • Allocating dynamic time-spectrum blocks in cognitive radio networks

    Yuan Yuan;Paramvir Bahl;Ranveer Chandra;Thomas Moscibroda

  • Walkie-Markie: indoor pathway mapping made easy

    Guobin Shen;Zhuo Chen;Peichao Zhang;Thomas Moscibroda

  • The Complexity of Connectivity in Wireless Networks

    T. Moscibroda;R. Wattenhofer

  • KNOWS: Cognitive Radio Networks Over White Spaces

    Yuan Yuan;P. Bahl;R. Chandra;P.A. Chou

  • Topology control meets SINR: the scheduling complexity of arbitrary topologies

    Thomas Moscibroda;Rogert Wattenhofer;Aaron Zollinger

  • Reducing memory interference in multicore systems via application-aware memory channel partitioning

    Sai Prashanth Muralidhara;Lavanya Subramanian;Onur Mutlu;Mahmut Kandemir

  • Memory performance attacks: denial of memory service in multi-core systems

    Thomas Moscibroda;Onur Mutlu

  • Dynamic Time-Spectrum Block Allocation For Cognitive Radio Networks

    Paramvir Bahl;Ranveer Chandra;Thomas Moscibroda;Gopala Sri Hari Narlanka

  • SenseLess: A database-driven white spaces network

    Unknown

  • Protocol Design Beyond Graph-Based Models.

    Thomas Moscibroda;Roger Wattenhofer;Yves Weber

  • Application-aware prioritization mechanisms for on-chip networks

    Reetuparna Das;Onur Mutlu;Thomas Moscibroda;Chita R. Das

  • Donnybrook: enabling large-scale, high-speed, peer-to-peer games

    Ashwin Bharambe;John R. Douceur;Jacob R. Lorch;Thomas Moscibroda

  • Reducing Memory Interference in Multicore Systems via Application-A ware Memory Channel Partitioning

    Sai Prashanth Muralidhara;Lavanya Subramanian;Onur Mutlu;Mahmut Kandemir

Frequent Co-Authors

Ranveer Chandra
Ranveer Chandra Microsoft (United States)
Onur Mutlu
Onur Mutlu ETH Zurich
Fabian Kuhn
Fabian Kuhn University of Freiburg
Stephen E. Hodges
Stephen E. Hodges Microsoft (United States)
John R. Douceur
John R. Douceur Microsoft (United States)
Paramvir Bahl
Paramvir Bahl Microsoft (United States)
Stefan Schmid
Stefan Schmid Technical University of Berlin
Yongguang Zhang
Yongguang Zhang Microsoft Research Asia (China)
Yossi Azar
Yossi Azar Tel Aviv University

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