World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
6278
World Ranking
2207
National Ranking
930

Engineering and Technology

D-Index
40
Citations
6615
World Ranking
7307
National Ranking
1996

Shiqian Ma 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 Shiqian Ma 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: 82 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: 100 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Shiqian Ma 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 Shiqian Ma 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: 137 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: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Shiqian Ma is affiliated with Rice University in the United States and conducts research primarily in the fields of Engineering and Computer Science. Their work spans several subfields including Electrical and Electronic Engineering, Computational Mechanics, Artificial Intelligence, Computational Theory and Mathematics, and Numerical Analysis.

The scientist's research topics emphasize Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Advanced Optimization Algorithms Research, Microgrid Control and Optimization, Optimal Power Flow Distribution, Optimization and Variational Analysis, and Smart Grid Energy Management.

Shiqian Ma has contributed to numerous academic publications, some of which include:

  • Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold, 2020, SIAM Journal on Optimization
  • An ADMM-based interior-point method for large-scale linear programming, 2020, Optimization methods & software
  • A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization, 2020, Mathematics of Operations Research
  • Active distribution network active and reactive power coordinated dispatching method based on discrete monkey algorithm, 2022, International Journal of Electrical Power & Energy Systems
  • Robust Low-Rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method, 2021, IEEE Transactions on Signal Processing

The venues where this scientist frequently publishes include:

  • arXiv (Cornell University)
  • Mathematics of Operations Research
  • IEEE Transactions on Signal Processing
  • Energies
  • SIAM Journal on Optimization

Shiqian Ma collaborates with several frequent coauthors, among them:

  • Krishnakumar Balasubramanian
  • Shixiang Chen
  • Jiaxiang Li
  • Lingzhou Xue
  • Tianhao Wang

Their research contributions are largely situated in complex optimization problems, algorithm development, and power systems engineering. The blend of practical engineering applications and theoretical algorithmic innovations reflects a multidisciplinary approach to addressing challenges in high-dimensional and large-scale optimization scenarios.

Best Publications

  • Fixed point and Bregman iterative methods for matrix rank minimization

    Shiqian Ma;Donald Goldfarb;Lifeng Chen

  • An efficient algorithm for compressed MR imaging using total variation and wavelets

    Shiqian Ma;Wotao Yin;Yin Zhang;A. Chakraborty

  • Fast alternating linearization methods for minimizing the sum of two convex functions

    Donald Goldfarb;Shiqian Ma;Katya Scheinberg

  • Highly accurate model for prediction of lung nodule malignancy with CT scans.

    Jason L. Causey;Jason L. Causey;Junyu Zhang;Shiqian Ma;Bo Jiang

  • On the Global Linear Convergence of the ADMM with MultiBlock Variables

    Tianyi Lin;Shiqian Ma;Shuzhong Zhang

  • Sparse Inverse Covariance Selection via Alternating Linearization Methods

    Katya Scheinberg;Shiqian Ma;Donald Goldfarb

  • Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization

    Xiao Wang;Shiqian Ma;Donald Goldfarb;Wei Liu

  • Positive-Definite ℓ1-Penalized Estimation of Large Covariance Matrices

    Lingzhou Xue;Shiqian Ma;Hui Zou

  • Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization

    Caihua Chen;Raymond H. Chan;Shiqian Ma;Junfeng Yang

  • Convergence of Fixed-Point Continuation Algorithms for Matrix Rank Minimization

    Donald Goldfarb;Shiqian Ma

  • Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization

    N. S. Aybat;Z. Wang;T. Lin;S. Ma

  • Barzilai-Borwein step size for stochastic gradient descent

    Conghui Tan;Shiqian Ma;Yu-Hong Dai;Yuqiu Qian

  • Structured nonconvex and nonsmooth optimization: algorithms and iteration complexity analysis

    Bo Jiang;Tianyi Lin;Shiqian Ma;Shuzhong Zhang

  • On the Sublinear Convergence Rate of Multi-block ADMM

    Tian Yi Lin;Shi Qian Ma;Shu Zhong Zhang

  • Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold

    Shixiang Chen;Shiqian Ma;Anthony Man-Cho So;Tong Zhang

  • Alternating direction methods for latent variable gaussian graphical model selection

    Shiqian Ma;Lingzhou Xue;Hui Zou

  • Fast Multiple-Splitting Algorithms for Convex Optimization

    Donald Goldfarb;Shiqian Ma

  • SOLVING MULTIPLE-BLOCK SEPARABLE CONVEX MINIMIZATION PROBLEMS USING TWO-BLOCK ALTERNATING DIRECTION METHOD OF MULTIPLIERS

    Xiangfeng Wang;Mingyi Hong;Shiqian Ma;Zhi-Quan Luo

  • A general inertial proximal point algorithm for mixed variational inequality problem

    Caihua Chen;Shiqian Ma;Junfeng Yang

  • A Block Successive Upper-Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization

    Mingyi Hong;Tsung Hui Chang;Xiangfeng Wang;Meisam Razaviyayn

  • ADMM for High-Dimensional Sparse Penalized Quantile Regression

    Yuwen Gu;Jun Fan;Lingchen Kong;Shiqian Ma

  • Positive Definite $ll_1$ Penalized Estimation of Large Covariance Matrices

    Lingzhou Xue;Shiqian Ma;Hui Zou

Frequent Co-Authors

Shuzhong Zhang
Shuzhong Zhang University of Minnesota
Donald Goldfarb
Donald Goldfarb Columbia University
Wei Liu
Wei Liu Tencent (China)
Hui Zou
Hui Zou University of Minnesota
Tong Zhang
Tong Zhang University of Illinois at Urbana-Champaign
Anthony Man-Cho So
Anthony Man-Cho So Chinese University of Hong Kong
Lifeng Lai
Lifeng Lai University of California, Davis
Yu-Hong Dai
Yu-Hong Dai Chinese Academy of Sciences
Mingyi Hong
Mingyi Hong University of Minnesota
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can open diverse career opportunities. Many seek flexible and accessible options, making programs like the easiest mba program an attractive choice for those looking to expand their business acumen alongside technical skills.

Similarly, the easiest mba online offers students the convenience of studying while balancing other commitments, often boosting career prospects in management and finance sectors.

For those interested in higher specialization, accelerated formats like the 1 year dba program online provide an intensive path toward leadership roles in data science, analytics, and business strategy.

Alternatively, earning an online masters in finance programs can complement a math background with financial expertise, unlocking careers in investment banking, financial analysis, or risk management. These related online degrees help math graduates tailor their education to evolving job markets.

Best Scientists Citing Shiqian Ma

Trending Scientists

Recently Published Articles