World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
9586
World Ranking
11906
National Ranking
4857

Sven Leyffer 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 Sven Leyffer 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: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Sven Leyffer 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 Sven Leyffer 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: 34 D-Index — 16th percentile

16% 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

  • 2009 - SIAM Fellow For contributions to large-scale nonlinear optimization.

Overview

Sven Leyffer is affiliated with Argonne National Laboratory in the United States. Their research primarily focuses on areas within computer science and engineering, with significant contributions across subfields such as artificial intelligence, computational theory and mathematics, numerical analysis, control and systems engineering, and atomic and molecular physics and optics.

Their published work spans a variety of main topics including advanced optimization algorithms research, probabilistic and robust engineering design, advanced multi-objective optimization algorithms, advanced control systems optimization, quantum computing algorithms and architecture, quantum information and cryptography, and risk and portfolio optimization.

Frequent collaborators in their research include Todd Munson, Jeffrey Larson, Paul Manns, Xinyu Fei, and Lucas T. Brady, with multiple publications co-authored with each.

Key venues where Sven Leyffer has published include:

  • arXiv (Cornell University)
  • Computational Optimization and Applications
  • INFORMS Journal on Computing
  • Mathematical Programming
  • SIAM Journal on Scientific Computing

Notable recent papers by Sven Leyffer include:

  • A survey of nonlinear robust optimization, 2020, INFOR Information Systems and Operational Research

Other influential recent papers relevant to their research include:

  • Minotaur: a mixed-integer nonlinear optimization toolkit, 2020, Mathematical Programming Computation
  • Apprentice for Event Generator Tuning, 2021, EPJ Web of Conferences
  • Practical algorithms for multivariate rational approximation, 2020, Computer Physics Communications
  • Modeling design and control problems involving neural network surrogates, 2022, Computational Optimization and Applications

In 2009, Sven Leyffer was recognized as a SIAM Fellow for contributions to large-scale nonlinear optimization.

Best Publications

  • Nonlinear programming without a penalty function

    Roger Fletcher;Sven Leyffer

  • Solving mixed integer nonlinear programs by outer approximation

    Roger Fletcher;Sven Leyffer

  • Mixed-integer nonlinear optimization

    Pietro Belotti;Christian Kirches;Sven Leyffer;Jeff T. Linderoth

  • Mixed Integer Nonlinear Programming

    Jon Lee;Sven Leyffer

  • On the Global Convergence of a Filter--SQP Algorithm

    Roger Fletcher;Sven Leyffer;Philippe L. Toint

  • Addressing failures in exascale computing

    Marc Snir;Robert W Wisniewski;Jacob A Abraham;Sarita V Adve

  • Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming

    Roger Fletcher;Nicholas I. M. Gould;Sven Leyffer;Philippe L. Toint

  • Local Convergence of SQP Methods for Mathematical Programs with Equilibrium Constraints

    Roger Fletcher;Sven Leyffer;Danny Ralph;Stefan Scholtes

  • Integrating SQP and Branch-and-Bound for Mixed Integer Nonlinear Programming

    Sven Leyffer

  • Numerical Experience with Lower Bounds for MIQP Branch-And-Bound

    Roger Fletcher;Sven Leyffer

  • Interior Methods for Mathematical Programs with Complementarity Constraints

    Sven Leyffer;Gabriel López-Calva;Jorge Nocedal

  • Solving mathematical programs with complementarity constraints as nonlinear programs

    Roger Fletcher;Sven Leyffer

  • Solving multi-leader-common-follower games

    Sven Leyffer;Todd Munson

  • DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges

    Robert Lucas;James Ang;Keren Bergman;Shekhar Borkar

  • FilMINT: An Outer Approximation-Based Solver for Convex Mixed-Integer Nonlinear Programs

    Kumar Abhishek;Sven Leyffer;Jeff Linderoth

  • A Multidimensional Filter Algorithm for Nonlinear Equations and Nonlinear Least-Squares

    Nicholas I. M. Gould;Sven Leyffer;Philippe L. Toint

  • Deterministic Methods for Mixed Integer Nonlinear Programming

    Sven Leyffer

  • Leader-Follower Equilibria for Electric Power and NO x Allowances Markets

    Yihsu Chen;Benjamin F. Hobbs;Sven Leyffer;Todd S. Munson

  • FilMINT: An Outer-Approximation-Based Solver for Nonlinear Mixed Integer Programs

    Kumar Abhishek;Sven Leyffer;Jeffrey T. Linderoth

  • A brief history of filter methods.

    R. Fletcher;S. Leyffer;P. Toint

  • Complementarity constraints as nonlinear equations: Theory and numerical experience

    Sven Leyffer

  • Global Convergence of Trust-Region SQP-Filter Algorithms for General Nonlinear Programming

    R Fletcher;N I M Gould;S Leyffer;PL Toint

  • SIAM Journal on Optimization

    C Audet;H H Bauschke;L T Biegler;P L Combettes

Frequent Co-Authors

Stefan M. Wild
Stefan M. Wild Lawrence Berkeley National Laboratory
Roger Fletcher
Roger Fletcher University of Dundee
Jeff Linderoth
Jeff Linderoth University of Wisconsin–Madison
Philippe L. Toint
Philippe L. Toint University of Namur
Nicholas I. M. Gould
Nicholas I. M. Gould Rutherford Appleton Laboratory
Mohan Krishnamoorthy
Mohan Krishnamoorthy University of Queensland
Stefan Vogt
Stefan Vogt Argonne National Laboratory
Marc Snir
Marc Snir University of Illinois at Urbana-Champaign
Z. Marshall
Z. Marshall Lawrence Berkeley National Laboratory
Paul W. Coteus
Paul W. Coteus IBM (United States)

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