World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
20006
World Ranking
2177
National Ranking
1094

Howard Jay Siegel 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 Howard Jay Siegel 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: 455 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Howard Jay Siegel 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 Howard Jay Siegel 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: 67 D-Index — 85th percentile

85% 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

  • 1998 - ACM Fellow For contributions to the design and analysis of parallel machine interconnection networks, reconfigurable parallel computers, parallel application mappings, and heterogeneous computing systems.
  • 1990 - IEEE Fellow For contributions to the analysis and design of interconnection networks for highly parallel processors.

Overview

Howard Jay Siegel is affiliated with Colorado State University in the United States. The research primarily spans the fields of Computer Science and Engineering, with a focus on several related subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, and Information Systems. Their work also intersects with Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering.

The main topics of investigation include Cloud Computing and Resource Management, IoT and Edge/Fog Computing, Smart Grid Energy Management, Robotic Path Planning Algorithms, Vehicle Routing Optimization Methods, Blockchain Technology Applications and Security, and Integrated Energy Systems Optimization.

They have coauthored multiple publications with the following frequent collaborators:

  • Sudeep Pasricha
  • Anthony A. Maciejewski
  • Ninad Hogade
  • Siddharth Suryanarayanan
  • Dylan Machovec

Common venues for their publications include:

  • arXiv (Cornell University)
  • IEEE Transactions on Sustainable Computing
  • IEEE Transactions on Smart Grid
  • IEEE Transactions on Parallel and Distributed Systems
  • IET Smart Grid

Selected recent papers highlight the diversity of their research topics and venues:

  • Energy and Network Aware Workload Management for Geographically Distributed Data Centers, 2021, IEEE Transactions on Sustainable Computing
  • Combined Impact of Demand Response Aggregators and Carbon Taxation on Emissions Reduction in Electric Power Systems, 2020, IEEE Transactions on Smart Grid
  • A Value-Oriented Job Scheduling Approach for Power-Constrained and Oversubscribed HPC Systems, 2020, IEEE Transactions on Parallel and Distributed Systems
  • An aggregator-based resource allocation in the smart grid using an artificial neural network and sliding time window optimization, 2021, IET Smart Grid
  • Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments, 2023, The Journal of Supercomputing

Howard Jay Siegel has received notable recognitions including:

  • ACM Fellow in 1998, for contributions to the design and analysis of parallel machine interconnection networks, reconfigurable parallel computers, parallel application mappings, and heterogeneous computing systems
  • IEEE Fellow in 1990, for contributions to the analysis and design of interconnection networks for highly parallel processors

Best Publications

  • A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems

    Tracy D Braun;Howard Jay Siegel;Noah Beck;Ladislau L Bölöni

  • Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems

    Muthucumaru Maheswaran;Shoukat Ali;Howard Jay Siegel;Debra Hensgen

  • Dynamic matching and scheduling of a class of independent tasks onto heterogeneous computing systems

    M. Maheswaran;S. Ali;H.J. Siegal;D. Hensgen

  • Interconnection networks for large-scale parallel processing: theory and case studies (2nd ed.)

    Howard Jay Siegel

  • Task Matching and Scheduling in Heterogeneous Computing Environments Using a Genetic-Algorithm-Based Approach

    Lee Wang;Howard Jay Siegel;Vwani P. Roychowdhury;Anthony A. Maciejewski

  • Scheduling resources in multi-user, heterogeneous, computing environments with SmartNet

    R.F. Freund;M. Gherrity;S. Ambrosius;M. Campbell

  • A survey and comparison of fault-tolerant multistage interconnection networks

    George B. Adams;Dharma P. Agrawal;Howard Jay Siegel

  • A comparison study of static mapping heuristics for a class of meta-tasks on heterogeneous computing systems

    T.D. Braun;H.J. Siegal;N. Beck;L.L. Boloni

  • Guest Editor's Introduction: Heterogeneous Processing

    Richard F. Freund;Howard Jay Siegel

  • Task execution time modeling for heterogeneous computing systems

    S. Ali;H.J. Siegel;M. Maheswaran;D. Hensgen

  • A dynamic matching and scheduling algorithm for heterogeneous computing systems

    M. Maheswaran;H.J. Siegel

  • Representing Task and Machine Heterogeneities for Heterogeneous Computing Systems

    Shoukat Ali;Howard Jay Siegel;Muthucumaru Maheswaran;Debra Hensgen

  • PASM: A Partitionable SIMD/MIMD System for Image Processing and Pattern Recognition

    Unknown

  • Measuring the robustness of a resource allocation

    S. Ali;A.A. Maciejewski;H.J. Siegel;Jong-Kook Kim

  • Efficient multicast packet authentication using signature amortization

    Jung Min Park;E.K.P. Chong;H.J. Siegel

  • Scheduling parallel applications on utility grids: time and cost trade-off management

    Saurabh Kumar Garg;Rajkumar Buyya;H. J. Siegel

  • Study of multistage SIMD interconnection networks

    Howard Jay Siegel;S. Diane Smith

  • The Multistage Cube: A Versatile Interconnection Network

    H.J. Siegel;R.J. McMillen

  • Time and cost trade-off management for scheduling parallel applications on Utility Grids

    Saurabh Kumar Garg;Rajkumar Buyya;Howard Jay Siegel

  • A taxonomy for describing matching and scheduling heuristics for mixed-machine heterogeneous computing systems

    T.D. Braun;H.J. Siegel;N. Beck;L. Boloni

  • Efficient multicast stream authentication using erasure codes

    Jung Min Park;Edwin K. P. Chong;Howard Jay Siegel

Frequent Co-Authors

Anthony A. Maciejewski
Anthony A. Maciejewski Colorado State University
Edwin K. P. Chong
Edwin K. P. Chong Colorado State University
Sudeep Pasricha
Sudeep Pasricha Colorado State University
Muthucumaru Maheswaran
Muthucumaru Maheswaran McGill University
Viktor K. Prasanna
Viktor K. Prasanna University of Southern California
Salim Hariri
Salim Hariri University of Arizona
Jung-Min Park
Jung-Min Park Virginia Tech
José A. B. Fortes
José A. B. Fortes University of Florida
Mikhail J. Atallah
Mikhail J. Atallah Purdue University West Lafayette
Edward J. Delp
Edward J. Delp Purdue University West Lafayette

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