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Mathematics
Japan
2026

D-Index & Metrics

Mathematics

D-Index
52
Citations
11392
World Ranking
954
National Ranking
11

Engineering and Technology

D-Index
52
Citations
11357
World Ranking
3587
National Ranking
51

Masakazu Kojima publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Masakazu Kojima sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 172 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Masakazu Kojima D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Masakazu Kojima sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 52 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Japan Leader Award
  • 2025 - Research.com Mathematics in Japan Leader Award
  • 2023 - Research.com Mathematics in Japan Leader Award
  • 2019 - Khachiyan Prize of the INFORMS Optimization Society
  • 2014 - SIAM Fellow For contributions to semidefinite optimization and complementarity problems.

Overview

Masakazu Kojima is affiliated with the Tokyo Institute of Technology in Japan. Their research spans primarily the fields of chemistry and materials science, with significant contributions to organic chemistry, materials chemistry, and inorganic chemistry. Their work includes applications in molecular biology and pharmaceutical science.

The scientist's main research topics cover catalytic C-H functionalization methods, synthesis and catalytic reactions, crystallization and solubility studies, X-ray diffraction in crystallography, asymmetric hydrogenation and catalysis, radical photochemical reactions, and sulfur-based synthesis techniques.

Masakazu Kojima has published extensively in several academic venues. Frequent publication outlets include The Cambridge Structural Database, Angewandte Chemie International Edition, Angewandte Chemie, Journal of the American Chemical Society, and ACS Catalysis.

Some notable recent publications include:

  • The Merger of Photoredox and Cobalt Catalysis, 2020, Trends in Chemistry
  • Silane- and peroxide-free hydrogen atom transfer hydrogenation using ascorbic acid and cobalt-photoredox dual catalysis, 2021, Nature Communications
  • Cobalt(III)/Chiral Carboxylic Acid-Catalyzed Enantioselective Synthesis of Benzothiadiazine-1-oxides via C−H Activation, 2022, Angewandte Chemie International Edition
  • Chiral paddle-wheel diruthenium complexes for asymmetric catalysis, 2020, Nature Catalysis
  • Development of Pseudo-C2-symmetric Chiral Binaphthyl Monocarboxylic Acids for Enantioselective C(sp3)-H Functionalization Reactions under Rh(III) Catalysis, 2021, ACS Catalysis

Masakazu Kojima collaborates frequently with other researchers. Their most common co-authors include Shigeki Matsunaga, Tatsuhiko Yoshino, Yuji Kamei, Futa Kamiyama, and Kentaro Kawai.

Throughout their career, Masakazu Kojima has received several awards. These include the Khachiyan Prize of the INFORMS Optimization Society awarded in 2019, and the SIAM Fellow designation in 2014 for contributions to semidefinite optimization and complementarity problems.

Best Publications

  • A primal-dual interior point algorithm for linear programming

    M. Kojima;S. Mizuno;A. Yoshise

  • A unified approach to interior point algorithms for linear complementarity problems: A summary

    Masakazu Kojima;Nimrod Megiddo;Toshihito Noma;Akiko Yoshise

  • Interior-Point Methods for the Monotone Semidefinite Linear Complementarity Problem in Symmetric Matrices

    Masakazu Kojima;Susumu Shindoh;Shinji Hara

  • A polynomial-time algorithm for a class of linear complementary problems

    Masakazu Kojima;Shinji Mizuno;Akiko Yoshise

  • Sums of Squares and Semidefinite Program Relaxations for Polynomial Optimization Problems with Structured Sparsity

    Hayato Waki;Sunyoung Kim;Masakazu Kojima;Masakazu Muramatsu

  • A Unified Approach to Interior Point Algorithms for Linear Complementarity Problems

    Masakazu Kojima;Nimrod Megiddo;Toshihito Noma;Akiko Yoshise

  • A primal-dual infeasible-interior-point algorithm for linear programming

    Masakazu Kojima;Nimrod Megiddo;Nimrod Megiddo;Shinji Mizuno

  • Exploiting Sparsity in Semidefinite Programming via Matrix Completion I: General Framework

    Mituhiro Fukuda;Masakazu Kojima;Kazuo Murota;Kazuhide Nakata

  • Strongly Stable Stationary Solutions in Nonlinear Programs.

    Masakazu Kojima

  • Implementation and evaluation of SDPA 6.0 (Semidefinite Programming Algorithm 6.0)

    Makoto Yamashita;Katsuki Fujisawa;Masakazu Kojima

  • Exploiting sparsity in primal-dual interior-point methods for semidefinite programming

    Katsuki Fujisawa;Masakazu Kojima;Kazuhide Nakata

  • Exact Solutions of Some Nonconvex Quadratic Optimization Problems via SDP and SOCP Relaxations

    Sunyoung Kim;Masakazu Kojima

  • Exploiting sparsity in semidefinite programming via matrix completion II: implementation and numerical results

    Kazuhide Nakata;Katsuki Fujisawa;Mituhiro Fukuda;Masakazu Kojima

  • Algorithm 883: SparsePOP---A Sparse Semidefinite Programming Relaxation of Polynomial Optimization Problems

    Hayato Waki;Sunyoung Kim;Masakazu Kojima;Masakazu Muramatsu

  • An O n L iteration potential reduction algorithm for linear complementary problems

    Masakazu Kojima;Shinji Mizuno;Akiko Yoshise

  • Semidefinite Programming Relaxation for NonconvexQuadratic Programs

    Tetsuya Fujie;Masakazu Kojima

  • Second order cone programming relaxation of nonconvex quadratic optimization problems

    Sunyonga Kim;Masakazu Kojima

  • Branch-and-Cut Algorithms for the Bilinear Matrix Inequality Eigenvalue Problem

    Mituhiro Fukuda;Masakazu Kojima

  • Local convergence of predictor-corrector infeasible-interior-point algorithms for SDPs and SDLCPs

    Masakazu Kojima;Masayuki Shida;Susumu Shindoh

  • Homotopy continuation methods for nonlinear complementarity problems

    Masakazu Kohjima;Nimrod Megiddo;Toshihito Noma

  • EXTENSION OF NEWTON AND QUASI-NEWTON METHODS TO SYSTEMS OF PC^1 EQUATIONS

    Masakazu Kojima;Susumu Shindo

Frequent Co-Authors

Nimrod Megiddo
Nimrod Megiddo IBM (United States)
Kim-Chuan Toh
Kim-Chuan Toh National University of Singapore
Kazuo Murota
Kazuo Murota Tokyo Metropolitan University
Shinji Hara
Shinji Hara University of Tokyo
Yinyu Ye
Yinyu Ye Stanford University
Satoru Fujishige
Satoru Fujishige Kyoto University
Michael J. Todd
Michael J. Todd Cornell University
Philippe L. Toint
Philippe L. Toint University of Namur
Samuel Burer
Samuel Burer University of Iowa

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