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Masatoshi Sakawa

Masatoshi Sakawa

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Engineering and Technology
Japan
2023
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Mathematics
Japan
2023

D-Index & Metrics

Engineering and Technology

D-Index
61
Citations
12583
World Ranking
2065
National Ranking
23

Masatoshi Sakawa publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Masatoshi Sakawa sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 540 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Masatoshi Sakawa D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Masatoshi Sakawa sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 61 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Engineering and Technology in Japan Leader Award
  • 2023 - Research.com Mathematics in Japan Leader Award
  • 2022 - Research.com Engineering and Technology in Japan Leader Award

Overview

Masatoshi Sakawa is a researcher affiliated with Hiroshima University in Japan. Their academic contributions are primarily connected to this institution, which serves as the platform for their research activities and academic engagements.

Available data does not list specific recent papers, co-authors, or frequent publication venues associated with Masatoshi Sakawa. Similarly, there is no explicit record of book publications, main fields of study, subfields, or main topics of work attributed to this scientist in the accessible sources.

There is also no publicly documented information on awards won by Masatoshi Sakawa. The lack of specified data on publications, collaborations, or research themes indicates that further inquiry or access to specialized databases may be necessary to obtain a comprehensive view of their academic output and areas of expertise.

Despite the limited publicly available details, the connection to Hiroshima University suggests that Masatoshi Sakawa is engaged in academic or scientific work within a university environment in Japan. The affiliation itself offers a context that may imply participation in research, teaching, or scholarly activities consistent with a university role.

Best Publications

  • Fuzzy Sets and Interactive Multiobjective Optimization

    Masatoshi Sakawa

  • Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms

    Masatoshi Sakawa;Ryo Kubota

  • Genetic Algorithms and Fuzzy Multiobjective Optimization

    Masatoshi Sakawa

  • Multiobjective fuzzy linear regression analysis for fuzzy input-output data

    Masatoshi Sakawa;Hitoshi Yano

  • Minimax regret solution to linear programming problems with an interval objective function

    Masahiro Inuiguchi;Masatoshi Sakawa

  • An efficient genetic algorithm for job-shop scheduling problems with fuzzy processing time and fuzzy duedate

    Masatoshi Sakawa;Tetsuya Mori

  • Fuzzy and Multiobjective Games for Conflict Resolution

    Ichiro Nishizaki;Masatoshi Sakawa

  • Theory and methodologyMinimax regret solution to linear programming problems with an interval objective function

    Masahiro Inuiguchi;Masatoshi Sakawa

  • Interactive decision making for multiobjective nonlinear programming problems with fuzzy parameters

    M. Sakawa;H. Yano

  • Interactive fuzzy programming for multi-level linear programming problems with fuzzy parameters

    Masatoshi Sakawa;Ichiro Nishizaki;Yoshio Uemura

  • An interactive fuzzy satisficing method for multiobjective nonlinear programming problems with fuzzy parameters

    Masatoshi Sakawa;Hitoshi Yano

  • Tree insertion grammar: a cubic-time, parsable formalism that lexicalizes context-free grammar without changing the trees produced

    Yves Schabes;Richard C. Waters

  • A genetic algorithm approach for the time-cost trade-off in PERT networks

    Amir Azaron;Cahit Perkgoz;Masatoshi Sakawa

  • Fuzzy programming and profit and cost allocation for a production and transportation problem

    Masatoshi Sakawa;Ichiro Nishizaki;Yoshio Uemura

  • Interactive fuzzy programming for multilevel linear programming problems

    M. Sakawa;I. Nishizaki;Y. Uemura

  • Interactive multiobjective fuzzy random linear programming : Maximization of possibility and probability

    Hideki Katagiri;Masatoshi Sakawa;Kosuke Kato;Ichiro Nishizaki

  • Interactive computer programs for fuzzy linear programming with multiple objectives

    Masatoshi Sakawa

  • Fuzzy multiattribute utility analysis for collective choice

    F. Seo;M. Sakawa

  • Cooperative and Noncooperative Multi-Level Programming

    Masatoshi Sakawa;Ichiro Nishizaki

  • An interactive fuzzy satisficing method using augmented minimax problems and its application to environmental systems

    M. Sakawa;H. Yano

  • Interactive fuzzy programming for two-level linear fractional programming problems with fuzzy parameters

    Masatoshi Sakawa;Ichiro Nishizaki;Yoshio Uemura

  • Foundations of Genetic Algorithms

    Masatoshi Sakawa

Frequent Co-Authors

Ichiro Nishizaki
Ichiro Nishizaki Hiroshima University
Masahiro Inuiguchi
Masahiro Inuiguchi Osaka University
Makoto Kaneko
Makoto Kaneko Osaka University
Reza Tavakkoli-Moghaddam
Reza Tavakkoli-Moghaddam University of Tehran

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