World's Best Scientists 2026 revealed!
Matthias Heinkenschloss

Matthias Heinkenschloss

D-Index & Metrics

Mathematics

D-Index
38
Citations
4119
World Ranking
2405
National Ranking
1007

Engineering and Technology

D-Index
39
Citations
4196
World Ranking
7862
National Ranking
2147

Matthias Heinkenschloss 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 Matthias Heinkenschloss 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: 103 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Matthias Heinkenschloss 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 Matthias Heinkenschloss 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: 38 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Matthias Heinkenschloss is affiliated with Rice University in the United States. Their primary field of study is Engineering, with a focus on several specialized subfields including Control and Systems Engineering, Statistical and Nonlinear Physics, Numerical Analysis, Computational Mechanics, and Biomedical Engineering. Their research encompasses a range of topics emphasizing model reduction, advanced control systems, process optimization, numerical methods, microfluidic and catalytic innovations, as well as hydraulic and pneumatic systems.

The main topics of their scholarly work include:

  • Model Reduction and Neural Networks
  • Advanced Control Systems Optimization
  • Process Optimization and Integration
  • Numerical methods for differential equations
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Hydraulic and Pneumatic Systems
  • Nuclear Engineering Thermal-Hydraulics

Heinkenschloss has published multiple research papers across various reputable venues. Some of the notable recent papers authored or co-authored by them are:

  • "Adaptive Reduced-Order Model Construction for Conditional Value-at-Risk Estimation," 2020, SIAM/ASA Journal on Uncertainty Quantification
  • "A fast and accurate domain decomposition nonlinear manifold reduced order model," 2024, Computer Methods in Applied Mechanics and Engineering
  • "A fast and accurate domain-decomposition nonlinear manifold reduced order model," 2023, arXiv (Cornell University)

Other papers closely related through frequent co-authors include research on process intensification and energy savings in chemical engineering:

  • "Parastillation and metastillation applied to bioethanol and neutral alcohol purification with energy savings," 2021, Chemical Engineering and Processing - Process Intensification
  • "A new unified model to simulate columns with multiple phase divisions and their impact on energy savings," 2020, Computers & Chemical Engineering

Frequent collaborators of Matthias Heinkenschloss include Alejandro N. Diaz, Youngsoo Choi, Lílian Caroline Kramer Biasi, Fábio R.M. Batista, and Roger Josef Zemp. Their partnership has been reflected in numerous joint publications, particularly in applied mechanics and engineering computational methods.

Most of their publications appear in venues such as arXiv (Cornell University), Computer Methods in Applied Mechanics and Engineering, SIAM/ASA Journal on Uncertainty Quantification, Chemical Engineering and Processing - Process Intensification, and Computers & Chemical Engineering.

Best Publications

  • Large-Scale PDE-Constrained Optimization: An Introduction

    Lorenz T. Biegler;Omar Ghattas;Matthias Heinkenschloss;Bart van Bloemen Waanders

  • Large-Scale Inverse Problems and Quantification of Uncertainty

    Lorenz Biegler;George Biros;Omar Nabih Ghattas;Matthias Heinkenschloss

  • Shape optimization in steady blood flow: a numerical study of non-newtonian effects

    Feby Abraham;Marek Behr;Matthias Heinkenschloss

  • Trust-Region Interior-Point SQP Algorithms for a Class of Nonlinear Programming Problems

    J. E. Dennis;Matthias Heinkenschloss;Luís N. Vicente

  • Balanced Truncation Model Reduction for a Class of Descriptor Systems with Application to the Oseen Equations

    Matthias Heinkenschloss;Danny C. Sorensen;Kai Sun

  • Large-Scale PDE-Constrained Optimization

    Lorenz T. Biegler;Matthias Heinkenschloss;Omar Ghattas;Bart van Bloemen Waanders

  • Analysis of Inexact Trust-Region SQP Algorithms

    Matthias Heinkenschloss;Luis N. Vicente

  • A TRUST-REGION ALGORITHM WITH ADAPTIVE STOCHASTIC COLLOCATION FOR PDE OPTIMIZATION UNDER UNCERTAINTY ∗

    D. P. Kouri;M. Heinkenschloss;D. Ridzal;B. G. van Bloemen Waanders

  • Analysis of the Streamline Upwind/Petrov Galerkin Method Applied to the Solution of Optimal Control Problems ∗

    S. Scott Collis;Matthias Heinkenschloss

  • Real-Time PDE-Constrained Optimization

    Lorenz T. Biegler;Omar Ghattas;Matthias Heinkenschloss;David Keyes

  • Superlinear and quadratic convergence of affine-scaling interior-point Newton methods for problems with simple bounds without strict complementarity assumption

    Matthias Heinkenschloss;Michael Ulbrich;Stefan Ulbrich

  • A time-domain decomposition iterative method for the solution of distributed linear quadratic optimal control problems

    Matthias Heinkenschloss

  • Brief paper: Balanced truncation model reduction for systems with inhomogeneous initial conditions

    M. Heinkenschloss;T. Reis;A. C. Antoulas

  • Preconditioners for Karush-Kuhn-Tucker Matrices Arising in the Optimal Control of Distributed Systems

    A. Battermann;M. Heinkenschloss

  • Inexact Objective Function Evaluations in a Trust-Region Algorithm for PDE-Constrained Optimization under Uncertainty.

    D. P. Kouri;M. Heinkenschloss;D. Ridzal;B. G. van Bloemen Waanders

  • Numerical Solution of Implicitly Constrained Optimization Problems

    Matthias Heinkenschloss

  • Global Convergence of Trust-region Interior-point Algorithms for Infinite-dimensional Nonconvex Minimization Subject to Pointwise Bounds

    Michael Ulbrich;Stefan Ulbrich;Matthias Heinkenschloss

  • Analysis of the Lagrange-SQP-Newton Method for the Control of a Phase Field Equation

    M. Heinkenschloss;F. Troeltzsch

  • Formulation and Analysis of a Sequential Quadratic Programming Method for the Optimal Dirichlet Boundary Control of Navier-Stokes Flow

    Matthias Heinkenschloss

  • Local Error Estimates for SUPG Solutions of Advection-Dominated Elliptic Linear-Quadratic Optimal Control Problems

    Matthias Heinkenschloss;Dmitriy Leykekhman

  • A Trust-Region Algorithm with Adaptive Stochastic Collocation for PDE Optimization under Uncertainty.

    Denis Ridzal;Bart G. van Bloemen Waanders;Drew P. Kouri;Matthias Heinkenschloss

Frequent Co-Authors

Danny C. Sorensen
Danny C. Sorensen Rice University
Omar Ghattas
Omar Ghattas The University of Texas at Austin
Lorenz T. Biegler
Lorenz T. Biegler Carnegie Mellon University
Athanasios C. Antoulas
Athanasios C. Antoulas Rice University
Karen Willcox
Karen Willcox The University of Texas at Austin
Peter Benner
Peter Benner Max Planck Institute for Dynamics of Complex Technical Systems
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
John E. Dennis
John E. Dennis Rice University
Luís Nunes Vicente
Luís Nunes Vicente Lehigh University
Antonio J. A. Meirelles
Antonio J. A. Meirelles State University of Campinas

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 studying Mathematics in the USA, exploring related online degrees can open diverse career pathways. Many graduates consider advancing their education with business-focused programs, which complement analytical and quantitative skills gained from mathematics.

If you're wondering what mba programs can i get into, numerous options exist with varying admission requirements, including some institutions known for being more accessible to applicants. This flexibility allows math majors to strengthen management and leadership skills efficiently.

Those seeking flexibility might explore the easiest online mba options. These programs suit professionals balancing work and studies and are often designed to enhance career prospects in sectors like finance and data analysis.

For those interested in specialized leadership roles, researching the most affordable online dba programs can provide pathways to doctoral-level expertise in business administration at a manageable cost.

Additionally, an online masters in finance is an excellent choice for math graduates aiming to enter finance-intensive careers, combining strong mathematical foundations with financial theory and applications.

Best Scientists Citing Matthias Heinkenschloss

Trending Scientists

Recently Published Articles