World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
6875
World Ranking
13870
National Ranking
5513

Xiaoye S. Li 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 Xiaoye S. Li 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: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Xiaoye S. Li 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 Xiaoye S. Li 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - SIAM Fellow For advances in the development of fast and scalable sparse matrix algorithms and fostering their use in large-scale scientific and engineering applications.
  • 2009 - ACM Senior Member

Overview

Xiaoye S. Li is a researcher affiliated with Lawrence Berkeley National Laboratory in the United States. Their primary field of study is computer science, with a focus on computational theory and mathematics. Their research spans several subfields including atomic and molecular physics and optics, artificial intelligence, hardware and architecture, and computer networks and communications.

The topics Xiaoye S. Li has worked on include:

  • Matrix Theory and Algorithms
  • Parallel Computing and Optimization Techniques
  • Electromagnetic Scattering and Analysis
  • Tensor Decomposition and Applications
  • Advanced Chemical Physics Studies
  • Advanced Multi-Objective Optimization Algorithms
  • Machine Learning and Data Classification

Their list of frequent coauthors includes:

  • Yang Liu
  • Pieter Ghysels
  • Hengrui Luo
  • Tianyi Shi
  • Hartwig Anzt

Xiaoye S. Li has published regularly in the following venues:

  • arXiv (Cornell University)
  • The International Journal of High Performance Computing Applications
  • Journal of Chemical Theory and Computation
  • ACM Transactions on Mathematical Software
  • SIAM Journal on Scientific Computing

Recent notable publications include:

  • "A survey of numerical linear algebra methods utilizing mixed-precision arithmetic", 2021, The International Journal of High Performance Computing Applications
  • "A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic", 2020, arXiv (Cornell University)
  • "Butterfly Factorization Via Randomized Matrix-Vector Multiplications", 2021, SIAM Journal on Scientific Computing
  • "Sparse Approximate Multifrontal Factorization with Butterfly Compression for High Frequency Wave Equations", 2020, arXiv (Cornell University)
  • "Newly Released Capabilities in the Distributed-Memory SuperLU Sparse Direct Solver", 2022, ACM Transactions on Mathematical Software

Among various recognitions, Xiaoye S. Li was named a SIAM Fellow in 2016 for advances in developing fast and scalable sparse matrix algorithms and promoting their use in large-scale scientific and engineering applications. Additionally, they have been recognized as an ACM Senior Member since 2009.

Best Publications

  • A Supernodal Approach to Sparse Partial Pivoting

    James W. Demmel;Stanley C. Eisenstat;John R. Gilbert;Xiaoye S. Li

  • SuperLU_DIST: A scalable distributed-memory sparse direct solver for unsymmetric linear systems

    Xiaoye S. Li;James W. Demmel

  • An overview of SuperLU: Algorithms, implementation, and user interface

    Xiaoye S. Li

  • Fast algorithms for hierarchically semiseparable matrices

    Jianlin Xia;Shivkumar Chandrasekaran;Ming Gu;Xiaoye S. Li

  • An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian Elimination

    James W. Demmel;John R. Gilbert;Xiaoye S. Li

  • Algorithms for quad-double precision floating point arithmetic

    Y. Hida;X.S. Li;D.H. Bailey

  • Design, implementation and testing of extended and mixed precision BLAS

    Xiaoye S. Li;James W. Demmel;David H. Bailey;Greg Henry

  • Superfast Multifrontal Method for Large Structured Linear Systems of Equations

    Jianlin Xia;Shivkumar Chandrasekaran;Ming Gu;Xiaoye S. Li

  • SuperLU Users'' Guide

    James W. Demmel;John Gilbert;Xiaoye S. Li

  • ARPREC: An arbitrary precision computation package

    David H. Bailey;Hida Yozo;Xiaoye S. Li;Brandon Thompson

  • ARPREC: An arbitrary precision computation package

    David H. Bailey;Hida Yozo;Xiaoye S. Li;Brandon Thompson

  • An Efficient Multicore Implementation of a Novel HSS-Structured Multifrontal Solver Using Randomized Sampling

    Pieter Ghysels;Xiaoye S. Li;Francois Henry Rouet;Samuel Williams

  • A Distributed-Memory Package for Dense Hierarchically Semi-Separable Matrix Computations Using Randomization

    François-Henry Rouet;Xiaoye S. Li;Pieter Ghysels;Artem Napov

  • A survey of numerical linear algebra methods utilizing mixed-precision arithmetic:

    Ahmad Abdelfattah;Hartwig Anzt;Hartwig Anzt;Erik G. Boman;Erin C. Carson

  • Error bounds from extra-precise iterative refinement

    James Demmel;Yozo Hida;William Kahan;Xiaoye S. Li

  • Making Sparse Gaussian Elimination Scalable by Static Pivoting

    Xiaoye S. Li;James W. Demmel

  • Analysis and comparison of two general sparse solvers for distributed memory computers

    Patrick R. Amestoy;Iain S. Duff;Jean-Yves L'excellent;Xiaoye S. Li

  • Parallel Symbolic Factorization for Sparse LU with Static Pivoting

    Laura Grigori;James W. Demmel;Xiaoye S. Li

  • Efficient Scalable Algorithms for Solving Dense Linear Systems with Hierarchically Semiseparable Structures

    Shen Wang;Xiaoye S. Li;Jianlin Xia;Yingchong Situ

  • Extreme Heterogeneity 2018 - Productive Computational Science in the Era of Extreme Heterogeneity: Report for DOE ASCR Workshop on Extreme Heterogeneity

    Jeffrey S Vetter;Ron Brightwell;Maya Gokhale;Pat McCormick

  • Massively parallel structured multifrontal solver for time-harmonic elastic waves in 3-D anisotropic media

    Shen Wang;Maarten V. de Hoop;Jianlin Xia;Xiaoye S. Li

  • Quad-Double Arithmetic: Algorithms, Implementation, and Application∗

    Yozo Hida;Xiaoye S. Li;David H. Bailey

  • Design, implementation and testing of extended and mixed precision BLAS

    X.S. Li;J.W. Demmel;D.H. Bailey;G. Henry

  • A Comparison of three high-precision quadrature schemes

    David H. Bailey;Xiaoye S. Li

  • An efficient multi-core implementation of a novel HSS-structured multifrontal solver using randomized sampling

    Pieter Ghysels;Xiaoye S. Li;Francois-Henry Rouet;Samuel Williams

  • An Asynchronous Parallel Supernodal Algorithm for Sparse Gaussian

    James W. Demmel;John Gilbert;Xiaoye S. Li

Frequent Co-Authors

James Demmel
James Demmel University of California, Berkeley
David H. Bailey
David H. Bailey Lawrence Berkeley National Laboratory
Samuel Williams
Samuel Williams Lawrence Berkeley National Laboratory
Iain S. Duff
Iain S. Duff Rutherford Appleton Laboratory
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
Zhaojun Bai
Zhaojun Bai University of California, Davis
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Richard Vuduc
Richard Vuduc Georgia Institute of Technology
Maarten V. de Hoop
Maarten V. de Hoop Rice University
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory

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