World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
46
Citations
6921
World Ranking
1390
National Ranking
20

Engineering and Technology

D-Index
46
Citations
6904
World Ranking
5255
National Ranking
121

Eduardo Casas 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 Eduardo Casas 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: 159 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Eduardo Casas 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 Eduardo Casas 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: 46 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Eduardo Casas is affiliated with the University of Cantabria in Spain and works primarily in the fields of Mathematics, Engineering, and Computer Science. Their research focus encompasses significant areas within these disciplines, with notable contributions to Computational Theory and Mathematics, Applied Mathematics, Control and Systems Engineering, Numerical Analysis, and Computational Mechanics.

The main topics covered in their work include:

  • Stability and Controllability of Differential Equations
  • Advanced Mathematical Modeling in Engineering
  • Advanced Numerical Methods in Computational Mathematics
  • Nonlinear Partial Differential Equations
  • Optimization and Variational Analysis
  • Numerical Methods in Inverse Problems
  • Differential Equations and Numerical Methods

Eduardo Casas has published extensively, with papers appearing in several prominent journals and venues. Frequent publication outlets for their work include:

  • arXiv (Cornell University)
  • SIAM Journal on Control and Optimization
  • ESAIM Control Optimisation and Calculus of Variations
  • Mathematical Control and Related Fields
  • Applied Mathematics & Optimization

Selected recent papers authored by Casas include:

  • Optimal Control of Semilinear Parabolic Equations with Non-smooth Pointwise-Integral Control Constraints in Time-Space, 2022, Applied Mathematics & Optimization
  • Optimal Control of the Two-Dimensional Evolutionary Navier--Stokes Equations with Measure Valued Controls, 2021, SIAM Journal on Control and Optimization
  • Infinite horizon optimal control problems for a class of semilinear parabolic equations, 2022, UCrea (University of Cantabria)
  • A Note on Existence of Solutions to Control Problems of Semilinear Partial Differential Equations, 2023, SIAM Journal on Control and Optimization
  • Optimal control of a parabolic equation with memory, 2023, ESAIM Control Optimisation and Calculus of Variations

Collaboration is a notable aspect of Eduardo Casas's research. The scientist frequently works with other researchers, including:

  • Karl Kunisch
  • Mariano Mateos
  • Fredi Tröltzsch
  • Konstantinos Chrysafinos
  • Daniel Wachsmuth

In summary, Eduardo Casas's body of work spans theoretical and applied aspects of mathematics and engineering with a concentration on control theory, optimization, and numerical methods.

Best Publications

  • Control of an elliptic problem with pointwise state constraints

    Eduardo Casas

  • Error Estimates for the Numerical Approximation of a Semilinear Elliptic Control Problem

    Nadir Arada;Eduardo Casas;Fredi Tröltzsch

  • Pontryagin's Principle for State-Constrained Boundary Control Problems of Semilinear Parabolic Equations

    Eduardo Casas

  • Boundary control of semilinear elliptic equations with pointwise state constraints

    Eduardo Casas

  • Error Estimates for the Numerical Approximation of Dirichlet Boundary Control for Semilinear Elliptic Equations

    Eduardo Casas;Jean-Pierre Raymond

  • Sufficient Second-Order Optimality Conditions for Semilinear Control Problems with Pointwise State Constraints

    Eduardo Casas;Juan Carlos de los Reyes;Fredi Tröltzsch

  • Error Estimates for the Numerical Approximation of Boundary Semilinear Elliptic Control Problems

    Eduardo Casas;Mariano Mateos;Fredi Tröltzsch

  • Optimality Conditions and Error Analysis of Semilinear Elliptic Control Problems with $L^1$ Cost Functional

    Eduardo Casas;Roland Herzog;Gerd Wachsmuth

  • Second Order Optimality Conditions for Semilinear Elliptic Control Problems with Finitely Many State Constraints

    Eduardo Casas;Mariano Mateos

  • Approximation of Elliptic Control Problems in Measure Spaces with Sparse Solutions

    Eduardo Casas;Christian Clason;Karl Kunisch

  • Second-Order Necessary and Sufficient Optimality Conditions for Optimization Problems and Applications to Control Theory

    Eduardo Casas;Fredi Tröltzsch

  • UNIFORM CONVERGENCE OF THE FEM. APPLICATIONS TO STATE CONSTRAINED CONTROL PROBLEMS

    Eduardo Casas;Mariano Mateos

  • Parabolic control problems in measure spaces with sparse solutions

    Eduardo Casas;Christian Clason;Karl Kunisch

  • L2 estimates for the finite element method for the Dirichlet problem with singular data

    Eduardo Casas

  • Second Order Sufficient Optimality Conditions for Some State-constrained Control Problems of Semilinear Elliptic Equations

    Eduardo Casas;Fredi Tröltzsch;Andreas Unger

  • Second Order Analysis for Bang-Bang Control Problems of PDEs

    Eduardo Casas

  • Second Order Analysis for Optimal Control Problems: Improving Results Expected From Abstract Theory

    Eduardo Casas;Fredi Tröltzsch

  • An Extension of Pontryagin's Principle for State-Constrained Optimal Control of Semilinear Elliptic Equations and Variational Inequalities

    Frederic Bonnans;Eduardo Casas

  • Second Order Sufficient Optimality Conditions for a Nonlinear Elliptic Boundary Control Problem

    E. Casas;Fredi Tröltzsch;A. Unger

  • Error Estimates for the Numerical Approximation of Semilinear Elliptic Control Problems with Finitely Many State Constraints

    Eduardo Casas

Frequent Co-Authors

Fredi Tröltzsch
Fredi Tröltzsch Technical University of Berlin
Karl Kunisch
Karl Kunisch University of Graz
Enrique Zuazua
Enrique Zuazua University of Erlangen-Nuremberg
Boris Vexler
Boris Vexler Technical University of Munich
Jan Sokolowski
Jan Sokolowski University of Lorraine
Günter Leugering
Günter Leugering University of Erlangen-Nuremberg

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 pursuing Mathematics in the USA, exploring related online degrees can open diverse career pathways. Many professionals consider interdisciplinary fields like business and finance to complement their mathematical skills. For example, enrolling in the easy online mba programs can provide essential business knowledge while balancing a busy schedule.

Those interested in advancing to leadership roles in data-driven industries may find value in affordable, flexible options such as the dba programs. These doctoral degrees emphasize research and strategy, making them ideal for career growth.

Financial mathematics and quantitative analysis are growing fields, and a masters in finance online programs offer a practical route for math graduates to enter finance sectors. These programs are designed to be accessible and often come with flexible scheduling.

For those prioritizing speed, some institutions provide the shortest online mba options, allowing quicker entry into the workforce or accelerated career advancement. Combining mathematics with business or finance credentials significantly enhances employability in competitive markets.

Best Scientists Citing Eduardo Casas

Trending Scientists

Recently Published Articles