World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
16910
World Ranking
2117
National Ranking
895

Andrew R. Conn 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 Andrew R. Conn 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: 89 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Andrew R. Conn 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 Andrew R. Conn 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: 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

Andrew R. Conn is affiliated with the IBM Thomas J. Watson Research Center in the United States. The scientist's research spans across multiple fields, including computer science and engineering, with significant contributions to aerospace engineering and artificial intelligence.

Their recent publications cover a range of topics in optimization and machine learning within both theoretical and applied domains. These works include:

  • An ADMM Based Framework for AutoML Pipeline Configuration, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Mixed-integer nonlinear and continuous optimization formulations for aircraft conflict avoidance via heading and speed deviations, 2023, European Journal of Operational Research
  • A derivative-free exact penalty algorithm: basic ideas, convergence theory and computational studies, 2022, Computational and Applied Mathematics
  • The continuous quadrant penalty formulation of logical constraints, 2023, Open Journal of Mathematical Optimization

Andrew R. Conn frequently collaborates with other researchers. Notable coauthors include:

  • Sonia Cafieri
  • Marcel Mongeau
  • Sijia Liu
  • Parikshit Ram
  • Deepak Vijaykeerthy

The scientist's work appears in several publication venues, including:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • European Journal of Operational Research
  • Computational and Applied Mathematics
  • Open Journal of Mathematical Optimization

Main fields of study encompass computer science and engineering, with subfields focusing on aerospace engineering, artificial intelligence, and computational theory and mathematics. Additional subfields include spectroscopy and general economics, econometrics, and finance.

Key topics addressed in their research are:

  • Air Traffic Management and Optimization
  • Machine Learning and Data Classification
  • Analytical Chemistry and Chromatography
  • Machine Learning and Algorithms
  • Aviation Industry Analysis and Trends
  • Aerospace and Aviation Technology
  • Advanced Optimization Algorithms Research

Best Publications

  • Trust Region Methods

    Andrew R. Conn;Nicholas I. M. Gould;Philippe L. Toint

  • Introduction to derivative-free optimization

    Andrew R. Conn;Katya Scheinberg;Luis N. Vicente

  • CUTE: constrained and unconstrained testing environment

    I. Bongartz;A. R. Conn;Nick Gould;Ph. L. Toint

  • A globally convergent augmented Lagrangian algorithm for optimization with general constraints and simple bounds

    Andrew R. Conn;Nicholas I. M. Gould;Philippe L. Toint

  • An algorithmic framework for convex mixed integer nonlinear programs

    Pierre Bonami;Lorenz T. Biegler;Andrew R. Conn;GéRard CornuéJols

  • Lancelot: A FORTRAN Package for Large-Scale Nonlinear Optimization (Release A)

    A. R. Conn;N. I. M. Gould;Ph L. Toint

  • A globally convergent Lagrangian barrier algorithm for optimization with general inequality constraints and simple bounds

    A. R. Conn;Nick Gould;Ph. L. Toint

  • Global convergence of a class of trust region algorithms for optimization with simple bounds

    A. R. Conn;I. M. Gould;Ph. L. Toint

  • Testing a class of methods for solving minimization problems with simple bounds on the variables

    Andrew R. Conn;Nicholas I. M. Gould;Philippe L. Toint

  • Recent progress in unconstrained nonlinear optimization without derivatives

    A. R. Conn;K. Scheinberg;Ph. L. Toint

  • Convergence of quasi-Newton matrices generated by the symmetric rank one update

    A. R. Conn;N. I. M. Gould;Ph. L. Toint

  • Global Convergence of General Derivative-Free Trust-Region Algorithms to First- and Second-Order Critical Points

    Andrew R. Conn;Katya Scheinberg;Luís N. Vicente

  • On the convergence of derivative-free methods for unconstrained optimization

    Andy Conn;Katya Scheinberg;Philippe Toint

  • An Efficient Method to Solve the Minimax Problem Directly

    C. Charalambous;A. R. Conn

  • An Efficient Primal-Dual Interior-Point Method for Minimizing a Sum of Euclidean Norms

    Knud D. Andersen;Edmund Christiansen;Andrew R. Conn;Michael L. Overton

  • Nonlinear programming via an exact penalty function: Asymptotic analysis

    Thomas F. Coleman;Andrew R. Conn

  • Geometry of interpolation sets in derivative free optimization

    A. R. Conn;K. Scheinberg;Luís N. Vicente

  • An Algorithm using Quadratic Interpolation for Unconstrained Derivative Free Optimization

    Andrew R. Conn;Philippe L. Toint

  • On the Local Convergence of a Quasi-Newton Method for the Nonlinear Programming Problem

    Thomas F. Coleman;Andrew R. Conn

  • A derivative free optimization algorithm in practice

    A. Conn;K. Scheinberg;Ph. Toint

  • Minimization Techniques for Piecewise Differentiable Functions: The l_1 Solution to an Overdetermined Linear System

    Unknown

  • Convergence Properties of an Augmented Lagrangian Algorithm for Optimization with a Combination of General Equality and Linear Constraints

    A. R. Conn;N. Gould;A. Sartenaer;Ph. L. Toint

Frequent Co-Authors

Nicholas I. M. Gould
Nicholas I. M. Gould Rutherford Appleton Laboratory
Katya Scheinberg
Katya Scheinberg Cornell University
Luís Nunes Vicente
Luís Nunes Vicente Lehigh University
Thomas F. Coleman
Thomas F. Coleman University of Waterloo
Philippe L. Toint
Philippe L. Toint University of Namur
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University
Gérard Cornuéjols
Gérard Cornuéjols Carnegie Mellon University
Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University
Michael L. Overton
Michael L. Overton Courant Institute of Mathematical Sciences
Michael A. Saunders
Michael A. Saunders Stanford University

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