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Howard Jay Siegel

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 67 2177 2110 1094 1053 455 20006

Howard Jay Siegel publications per year

The chart shows the history of publications by Howard Jay Siegel between 1961 and 2023, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Howard Jay Siegel published across 63 years, from 1961 to 2023, averaging 7.3 papers a year. Output peaked at 17 publications in 2006. 2 of the 461 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1961 to 2023. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2006. 1961: 1 publication 1962: 0 publications 1963: 0 publications 1964: 0 publications 1965: 0 publications 1966: 0 publications 1967: 0 publications 1968: 0 publications 1969: 0 publications 1970: 0 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 2 publications 1978: 1 publication 1979: 8 publications 1980: 8 publications 1981: 8 publications 1982: 16 publications 1983: 8 publications 1984: 9 publications 1985: 16 publications 1986: 8 publications 1987: 6 publications 1988: 9 publications 1989: 5 publications 1990: 9 publications 1991: 15 publications 1992: 12 publications 1993: 14 publications 1994: 16 publications 1995: 7 publications 1996: 12 publications 1997: 16 publications 1998: 16 publications 1999: 14 publications 2000: 15 publications 2001: 9 publications 2002: 8 publications 2003: 10 publications 2004: 9 publications 2005: 12 publications 2006: 17 publications 2007: 12 publications 2008: 16 publications 2009: 14 publications 2010: 10 publications 2011: 11 publications 2012: 8 publications 2013: 8 publications 2014: 10 publications 2015: 14 publications 2016: 12 publications 2017: 8 publications 2018: 8 publications 2019: 6 publications 2020: 1 publication 2021: 5 publications 2022: 1 publication 2023: 1 publication
1961 2023

461 publications in total across all disciplines

View publications per year as a table
Howard Jay Siegel: publications per year, 1961 to 2023
Year Publications
1961 1
1962 0
1963 0
1964 0
1965 0
1966 0
1967 0
1968 0
1969 0
1970 0
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 2
1978 1
1979 8
1980 8
1981 8
1982 16
1983 8
1984 9
1985 16
1986 8
1987 6
1988 9
1989 5
1990 9
1991 15
1992 12
1993 14
1994 16
1995 7
1996 12
1997 16
1998 16
1999 14
2000 15
2001 9
2002 8
2003 10
2004 9
2005 12
2006 17
2007 12
2008 16
2009 14
2010 10
2011 11
2012 8
2013 8
2014 10
2015 14
2016 12
2017 8
2018 8
2019 6
2020 1
2021 5
2022 1
2023 1
Total 461
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 452–461 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73 455
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 66–67 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249 67
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

External Links

Personal website of Howard Jay Siegel Google Scholar page

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