World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
9783
World Ranking
4640
National Ranking
2154

John W. Fowler 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 John W. Fowler 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: 272 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

John W. Fowler 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 John W. Fowler 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

John W. Fowler is affiliated with Arizona State University in the United States. The primary academic and research focus lies in the field of Engineering, with particular emphasis on Industrial and Manufacturing Engineering, as well as related subfields such as Management Science and Operations Research, Strategy and Management, Management Information Systems, and Modeling and Simulation.

The scientist's research spans multiple topics including Scheduling and Optimization Algorithms, Advanced Manufacturing and Logistics Optimization, Manufacturing Process and Optimization, Industrial Vision Systems and Defect Detection, COVID-19 epidemiological studies, Healthcare Operations and Scheduling Optimization, and Assembly Line Balancing Optimization.

Some of the recent papers authored or coauthored by John W. Fowler include:

  • How simulation modelling can help reduce the impact of COVID-19, 2020, Journal of Simulation
  • A survey of scheduling with parallel batch (p-batch) processing, 2021, European Journal of Operational Research
  • Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap, 2024, Journal of Industrial Information Integration
  • Bi-criteria parallel batch machine scheduling to minimize total weighted tardiness and electricity cost, 2020, Journal of Business Economics
  • Exact and heuristic algorithms for the parallel machine total completion time scheduling problem with dual resources, ready times, and sequence-dependent setup times, 2022, Computers & Operations Research

Frequent coauthors in their research include Lars Mönch, Esma S. Gel, Karl G. Kempf, Chen-Fu Chien, and Hans Ehm.

Publication activity is distributed among several venues, with notable frequency in IEEE Transactions on Semiconductor Manufacturing, British Journal of Nursing, Winter Simulation Conference (WSC) events in 2021 and 2022, and the Journal of Simulation.

Best Publications

  • A survey of problems, solution techniques, and future challenges in scheduling semiconductor manufacturing operations

    Lars Mönch;John W. Fowler;Stéphane Dauzère-Pérès;Scott J. Mason

  • How simulation modelling can help reduce the impact of COVID-19

    Christine S.M. Currie;John W. Fowler;Kathy Kotiadis;Thomas Monks

  • A multi-population genetic algorithm to solve multi-objective scheduling problems for parallel machines

    Jeffery K. Cochran;Shwu-Min Horng;John W. Fowler

  • Grand Challenges in Modeling and Simulation of Complex Manufacturing Systems

    John W. Fowler;Oliver Rose

  • A modified shifting bottleneck heuristic for minimizing total weighted tardiness in complex job shops

    Scott J. Mason;John W. Fowler;W. Matthew Carlyle

  • Heuristic scheduling of jobs on parallel batch machines with incompatible job families and unequal ready times

    Lars Mönch;Hari Balasubramanian;John W. Fowler;Michele E. Pfund

  • Production Planning and Control for Semiconductor Wafer Fabrication Facilities: Modeling, Analysis, and Systems

    John W. Fowler;Scott J. Mason;Lars Mönch

  • Genetic algorithm based scheduling of parallel batch machines with incompatible job families to minimize total weighted tardiness

    Hari Balasubramanian;Lars Mönch;John W. Fowler;Michele E. Pfund

  • Bi-Criteria Scheduling of Surgical Services for an Outpatient Procedure Center

    Serhat Gul;Brian T. Denton;John W. Fowler;Todd Huschka

  • A new scheduling approach using combined dispatching criteria in wafer fabs

    R.M. Dabbas;J.W. Fowler

  • Production Planning and Control for Semiconductor Wafer Fabrication Facilities

    Lars Mönch;John W. Fowler;Scott J. Mason

  • Mixed integer programming formulations for single machine scheduling problems

    Ahmet B. Keha;Ketan Khowala;John W. Fowler

  • A survey of scheduling with parallel batch (p-batch) processing

    John W. Fowler;Lars Mönch

  • Real-time control of multiproduct bulk-service semiconductor manufacturing processes

    J.W. Fowler;D.T. Phillips;G.L. Hogg

  • Heuristics for workforce planning with worker differences

    John W. Fowler;Pornsarun Wirojanagud;Esma Senturk Gel

  • Scheduling jobs on parallel machines with setup times and ready times

    Michele Pfund;John W. Fowler;Amit Gadkari;Yan Chen

  • A survey of semiconductor supply chain models part I: semiconductor supply chains, strategic network design, and supply chain simulation

    Lars Mönch;Reha Uzsoy;John W. Fowler

  • Minimizing total weighted tardiness on a single batch process machine with incompatible job families

    Imelda C. Perez;John W. Fowler;W. Matthew Carlyle

  • Heuristics for minimizing regular performance measures in unrelated parallel machine scheduling problems

    Y. K. Lin;M. E. Pfund;J. W. Fowler

  • Genetic algorithm-based subproblem solution procedures for a modified shifting bottleneck heuristic for complex job shops

    Lars Mönch;Rene Schabacker;Detlef Pabst;John W. Fowler

  • Workload control in the semiconductor industry

    John W Fowler;Gary L Hogg;Scott J Mason

  • A hybrid approach using the analytic hierarchy process and integer programming to screen weapon systems projects

    M.A. Greiner;J.W. Fowler;D.L. Shunk;W.M. Carlyle

  • A combined dispatching criteria approach to scheduling semiconductor manufacturing systems

    Russ M. Dabbas;Hung-Nan Chen;John W. Fowler;Dan Shunk

Frequent Co-Authors

Lars Mönch
Lars Mönch University of Hagen
Douglas C. Montgomery
Douglas C. Montgomery Arizona State University
Barry L. Nelson
Barry L. Nelson Northwestern University
Teresa Wu
Teresa Wu Arizona State University
George C. Runger
George C. Runger Arizona State University
Chen-Fu Chien
Chen-Fu Chien National Tsing Hua University
Reha Uzsoy
Reha Uzsoy North Carolina State University
Stéphane Dauzère-Pérès
Stéphane Dauzère-Pérès École des Mines de Saint-Étienne
Jyrki Wallenius
Jyrki Wallenius Aalto University
Izak Duenyas
Izak Duenyas University of Michigan–Ann Arbor

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