World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
10286
World Ranking
3843
National Ranking
48

Christine A. Shoemaker publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Christine A. Shoemaker sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 201 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Christine A. Shoemaker D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Christine A. Shoemaker sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 51 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2014 - SIAM Fellow For the development of optimization algorithms for groundwater flow and related environmental problems.
  • 2012 - Member of the National Academy of Engineering For development of decision-making optimization algorithms for environmental and water resources problems.

Overview

Christine A. Shoemaker is affiliated with the National University of Singapore in Singapore. Their research spans multiple disciplines, focusing on engineering, computer science, and environmental science. Their work includes significant contributions to ocean engineering, artificial intelligence, environmental engineering, computational theory and mathematics, and global and planetary change.

The scientist's research interests center around several core topics:

  • Water resources management and optimization
  • Advanced multi-objective optimization algorithms
  • Metaheuristic optimization algorithms research
  • Hydrology and watershed management studies
  • Flood risk assessment and management
  • Groundwater flow and contamination studies
  • Reservoir engineering and simulation methods

Christine A. Shoemaker has published extensively, with frequent publications in notable venues such as:

  • Environmental Modelling & Software
  • arXiv (Cornell University)
  • Water Resources Research
  • Journal of Hydrology
  • Computers & Chemical Engineering

Some of their recent papers include:

  • "Surrogate Global Optimization for Identifying Cost-Effective Green Infrastructure for Urban Flood Control With a Computationally Expensive Inundation Model," 2022, Water Resources Research
  • "Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE models," 2020, Environmental Modelling & Software
  • "GOPS: efficient RBF surrogate global optimization algorithm with high dimensions and many parallel processors including application to multimodal water quality PDE model calibration," 2020, Optimization and Engineering
  • "A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems," 2020, Structural and Multidisciplinary Optimization
  • "Experimental and numerical study of biomass catalytic pyrolysis using Ni2P-loaded zeolite: Product distribution, characterization and overall benefit," 2020, Energy Conversion and Management

Their frequent co-authors include Wei Xia, Wenyu Wang, Taimoor Akhtar, Wei Lü, and Xin He.

Shoemaker's work has been recognized by professional societies and academies. They were named a SIAM Fellow in 2014 for contributions to optimization algorithms relevant to groundwater flow and environmental problems. In 2012, they were elected a member of the National Academy of Engineering for developing decision-making optimization algorithms applied to environmental and water resources issues.

Best Publications

  • Dynamically dimensioned search algorithm for computationally efficient watershed model calibration

    Bryan A. Tolson;Christine A. Shoemaker

  • A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions

    Rommel G. Regis;Christine A. Shoemaker

  • A Comparison of Chemical and Isotopic Hydrograph Separation

    Richard P. Hooper;Christine A. Shoemaker

  • Constrained Global Optimization of Expensive Black Box Functions Using Radial Basis Functions

    Rommel G. Regis;Christine A. Shoemaker

  • ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions

    Stefan M. Wild;Rommel G. Regis;Christine A. Shoemaker

  • Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization

    Rommel G. Regis;Christine A. Shoemaker

  • Dynamic optimal control for groundwater remediation with flexible management periods

    Teresa B. Culver;Christine A. Shoemaker

  • Numerical solution of continuous-state dynamic programs using linear and spline interpolation

    Sharon A. Johnson;Christine A. Shoemaker;Ying Li;José Alberto Tejada-Guibert

  • SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems

    Juliane MüLler;Christine A. Shoemaker;Robert Piché

  • Cannonsville Reservoir Watershed SWAT2000 model development, calibration and validation

    Bryan A. Tolson;Christine A. Shoemaker

  • Local function approximation in evolutionary algorithms for the optimization of costly functions

    R.G. Regis;C.A. Shoemaker

  • Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming

    Victoria C. P. Chen;David Ruppert;Christine A. Shoemaker

  • Scalable thread scheduling and global power management for heterogeneous many-core architectures

    Jonathan A. Winter;David H. Albonesi;Christine A. Shoemaker

  • Improved Strategies for Radial basis Function Methods for Global Optimization

    Rommel G. Regis;Christine A. Shoemaker

  • Introduction to special section on uncertainty assessment in surface and subsurface hydrology: An overview of issues and challenges

    Alberto Montanari;Christine A. Shoemaker;Nick van de Giesen

  • Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems

    Juliane Müller;Christine A. Shoemaker

  • Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection

    Taimoor Akhtar;Christine A. Shoemaker

  • Optimal time-varying pumping rates for groundwater remediation: Application of a constrained optimal control algorithm

    Liang-Cheng Chang;Christine A. Shoemaker;Philip L.-F. Liu

  • Calibration and Validation of Soil and Water Assessment Tool on an Agricultural Watershed in Upstate New York

    Jennifer Benaman;Christine A. Shoemaker;Douglas A. Haith

  • Convergence in unconstrained discrete-time differential dynamic programming

    L.-Z. Liao;C.A. Shoemaker

  • Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates.

    Ilija Ilievski;Taimoor Akhtar;Jiashi Feng;Christine Annette Shoemaker

Frequent Co-Authors

David Ruppert
David Ruppert Cornell University
Leonard W. Lion
Leonard W. Lion Cornell University
David H. Albonesi
David H. Albonesi Cornell University
Barbara S. Minsker
Barbara S. Minsker Southern Methodist University
Stefan M. Wild
Stefan M. Wild Lawrence Berkeley National Laboratory
Avi Ostfeld
Avi Ostfeld Technion – Israel Institute of Technology
Jiashi Feng
Jiashi Feng ByteDance
David Pimentel
David Pimentel Cornell University
Philip L.-F. Liu
Philip L.-F. Liu National University of Singapore
Natalie M. Mahowald
Natalie M. Mahowald Cornell University

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