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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
3585
National Ranking
51

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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