World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
30
Citations
6528
World Ranking
3434
National Ranking
1336

André L. Tits 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 André L. Tits 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: 131 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

André L. Tits 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 André L. Tits 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: 30 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

André L. Tits is affiliated with the University of Maryland, College Park in the United States. Their research activity spans the fields of engineering, mathematics, and computer science, with a particular concentration in control and systems engineering, numerical analysis, and computational theory and mathematics.

The main topics of their work include:

  • Advanced Optimization Algorithms Research
  • Optimization and Variational Analysis
  • Advanced Control Systems Optimization
  • Stability and Control of Uncertain Systems
  • Stability and Controllability of Differential Equations
  • Control Systems and Identification

The scientist has contributed papers to well-established publication venues, including the journals Mathematical Programming and Automatica. Recent publications include:

  • "An infeasible-start framework for convex quadratic optimization, with application to constraint-reduced interior-point and other methods" (2021, Mathematical Programming)
  • "Strong versions of impulsive controllability and sampled observability" (2024, Automatica)

Frequent co-authors of André L. Tits include:

  • M. Paul Laiu
  • Pierre-Antoine Absil
  • Irina Cojuhari
  • Ion Fiodorov

Their work primarily investigates optimization methods, particularly in contexts that require stability and control of systems governed by differential equations. These research efforts contribute to both theoretical and applied aspects of control systems engineering and numerical optimization techniques.

Best Publications

  • Robustness in the Presence of Joint parametric Uncertainty and Unmodeled Dynamics

    Michael K.H. Fan;Andre L. Tits;John C. Doyle

  • Robustness in the presence of mixed parametric uncertainty and unmodeled dynamics

    M.K.H. Fan;A.L. Tits;J.C. Doyle

  • DELIGHT.SPICE: an optimization-based system for the design of integrated circuits

    W. Nye;D.C. Riley;A. Sangiovanni-Vincentelli;A.L. Tits

  • User's Guide for CFSQP Version 2.0: A C Code for Solving (Large Scale) Constrained Nonlinear (Minimax) Optimization Problems, Generating Iterates Satisfying All Inequality Constraints

    Craig T. Lawrence;J.L. Zhou;A.L. Tits

  • A Computationally Efficient Feasible Sequential Quadratic Programming Algorithm

    Craig Travers Lawrence;Andre L. Tits

  • On combining feasibility, descent and superlinear convergence in inequality constrained optimization

    Eliane R. Panier;André L. Tits

  • A QP-Free, globally convergent, locally superlinearly convergent algorithm for inequality constrained optimization

    Eliane R. Panier;André L. Tits;José N. Herskovits

  • A superlinearly convergent feasible method for the solution of inequality constrained optimization problems

    Eliane R. Panier;André L. Tits

  • Characterization and efficient computation of the structured singular value

    M. Fan;A. Tits

  • Guardian maps and the generalized stability of parametrized families of matrices and polynomials

    Lahcen Saydy;André L. Tits;André L. Tits;Eyad H. Abed

  • Nonmonotone line search for minimax problems

    J. L. Zhou;A. L. Tits

  • Avoiding the Maratos effect by means of a nonmonotone line search I. general constrained problems

    Elliane R. Panier;André L. Tits

  • Avoiding the Maratos effect by means of a nonmonotone line search II. Inequality constrained problems—feasible iterates

    J. Frédéric Bonnans;Eliane R. Panier;André L. Tits;Jian L. Zhou

  • A Primal-Dual Interior-Point Method for Nonlinear Programming with Strong Global and Local Convergence Properties

    André L. Tits;Andreas Wächter;Sasan Bakhtiari;Thomas J. Urban

  • Nonlinear Equality Constraints in Feasible Sequential Quadratic Programming

    Craig T. Lawrence;André L. Tits

  • An SQP Algorithm for Finely Discretized Continuous Minimax Problems and Other Minimax Problems with Many Objective Functions

    Jian L. Zhou;André L. Tits

  • High-order entropy-based closures for linear transport in slab geometry II: A computational study of the optimization problem

    Graham W. Alldredge;Cory D. Hauck;André L. Tits

  • Globally convergent algorithms for robust pole assignment by state feedback

    A.L. Tits;Yaguang Yang

  • An application-oriented, optimization-based methodology for interactive design of engineering systems†

    William T. Nye;André L. Tits

  • m-form numerical range and the computation of the structured singular value

    M.K. Fan;A.L. Tits

  • Robustness under bounded uncertainty with phase information

    A.L. Tits;V. Balakrishnan;L. Lee

Frequent Co-Authors

Eyad H. Abed
Eyad H. Abed University of Maryland, College Park
Dianne P. O'Leary
Dianne P. O'Leary University of Maryland, College Park
Venkataramanan Balakrishnan
Venkataramanan Balakrishnan Purdue University West Lafayette
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Elijah Polak
Elijah Polak University of California, Berkeley
Pierre-Antoine Absil
Pierre-Antoine Absil Université Catholique de Louvain
Paul Van Dooren
Paul Van Dooren Université Catholique de Louvain
John C. Doyle
John C. Doyle California Institute of Technology
Anthony Ephremides
Anthony Ephremides University of Maryland, College Park
Loo Hay Lee
Loo Hay Lee National University of Singapore

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