World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
71
Citations
16588
World Ranking
978
National Ranking
332

Patrick M. Reed 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 Patrick M. Reed sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 265 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Patrick M. Reed 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 Patrick M. Reed sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 71 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Patrick M. Reed is affiliated with Cornell University in the United States. Their research spans multiple fields and subfields, focusing particularly on environmental and engineering sciences. Key fields of study include:

  • Environmental Science
  • Engineering

The subfields contributing to their work cover a range of technical areas:

  • Ocean Engineering
  • Global and Planetary Change
  • Water Science and Technology
  • Electrical and Electronic Engineering
  • Civil and Structural Engineering

Patrick M. Reed's research topics reflect expertise in resource management and system optimization with special emphasis on:

  • Water resources management and optimization
  • Water-Energy-Food Nexus Studies
  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Hydrology and Drought Analysis
  • Water Systems and Optimization
  • Electric Power System Optimization

Among their recent papers are the following publications:

  • "Evaluating the economic impact of water scarcity in a changing world," 2021, published in Nature Communications
  • "A State-of-the-Art Review of Optimal Reservoir Control for Managing Conflicting Demands in a Changing World," 2021, published in Water Resources Research
  • "Multisector Dynamics: Advancing the Science of Complex Adaptive Human-Earth Systems," 2022, published in Earth's Future
  • "Defining Robustness, Vulnerabilities, and Consequential Scenarios for Diverse Stakeholder Interests in Institutionally Complex River Basins," 2020, published in Earth's Future
  • "Coordination and control - limits in standard representations of multi-reservoir operations in hydrological modeling," 2021, published in Hydrology and Earth System Sciences

Frequent co-authors who have collaborated extensively with Patrick M. Reed include:

  • Gregory W. Characklis
  • David Gold
  • Rohini S. Gupta
  • Antonia Hadjimichael
  • Harrison B. Zeff

Preferred publication venues for their work demonstrate a pattern of contributions to well-established journals and repositories:

  • Water Resources Research
  • Earth's Future
  • UNC Libraries
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Water Resources Planning and Management

Patrick M. Reed has also contributed to book publications. Notably, they have a publication with the European Organization for Nuclear Research:

  • Addressing Uncertainty in Multisector Dynamics Research, 2022

Best Publications

  • Borg: An auto-adaptive many-objective evolutionary computing framework

    David Hadka;Patrick Reed

  • Evolutionary algorithms and other metaheuristics in water resources

    H.R. Maier;Z. Kapelan;J. Kasprzyk;J. Kollat

  • State of the Art for Genetic Algorithms and Beyond in Water Resources Planning and Management

    John Nicklow;Patrick Reed;Dragan Savic;Tibebe Dessalegne

  • Evolutionary multiobjective optimization in water resources: The past, present, and future

    Patrick M. Reed;David Hadka;Jonathan D. Herman;Joseph R. Kasprzyk

  • Many objective robust decision making for complex environmental systems undergoing change

    Joseph R. Kasprzyk;Shanthi Nataraj;Patrick M. Reed;Robert J. Lempert

  • Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation

    Y. Tang;Patrick Reed;Thorsten Wagener;K. van Werkhoven

  • How should robustness be defined for water systems planning under change

    Jonathan D. Herman;Patrick M. Reed;Harrison B. Zeff;Gregory W. Characklis

  • Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design

    J.B. Kollat;P.M. Reed

  • The future of water resources systems analysis: Toward a scientific framework for sustainable water management

    Casey M. Brown;Jay R. Lund;Ximing Cai;Patrick M. Reed

  • How effective and efficient are multiobjective evolutionary algorithms at hydrologic model calibration

    Y Tang;P Reed;Thorsten Wagener

  • Diagnostic assessment of search controls and failure modes in many-objective evolutionary optimization

    David Hadka;Patrick Reed

  • The food-energy-water nexus: Transforming science for society

    Bridget R. Scanlon;Ben L. Ruddell;Patrick M. Reed;Ruth I. Hook

  • Curses, Tradeoffs, and Scalable Management: Advancing Evolutionary Multiobjective Direct Policy Search to Improve Water Reservoir Operations

    Matteo Giuliani;Andrea Francesco Castelletti;Francesca Pianosi;Emanuele Mason

  • Beyond optimality: Multistakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty

    Jonathan D. Herman;Harrison B. Zeff;Patrick M. Reed;Gregory W. Characklis

  • Characterization of watershed model behavior across a hydroclimatic gradient

    Kathryn van Werkhoven;Thorsten Wagener;Patrick Reed;Yong Tang

  • Designing a competent simple genetic algorithm for search and optimization

    Patrick Reed;Barbara Minsker;David E. Goldberg

  • Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models

    J. D. Herman;J. B. Kollat;P. M. Reed;T. Wagener

  • Cost-effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation

    Patrick Reed;Barbara Minsker;Albert J. Valocchi

  • Sensitivity-guided reduction of parametric dimensionality for multi-objective calibration of watershed models

    Kathryn van Werkhoven;Thorsten Wagener;Patrick Reed;Yong Tang

  • A framework for Visually Interactive Decision-making and Design using Evolutionary Multi-objective Optimization (VIDEO)

    Joshua B. Kollat;Patrick Reed

  • Comparing State-of-the-Art Evolutionary Multi-Objective Algorithms for Long-Term Groundwater Monitoring Design

    P. M. Reed;J. B. Kollat

Frequent Co-Authors

Andrea Castelletti
Andrea Castelletti Polytechnic University of Milan
Thorsten Wagener
Thorsten Wagener University of Potsdam
Klaus Keller
Klaus Keller Dartmouth College
Barbara S. Minsker
Barbara S. Minsker Southern Methodist University
Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
David E. Goldberg
David E. Goldberg University of Illinois at Urbana-Champaign
Zoran Kapelan
Zoran Kapelan Delft University of Technology
Albert J. Valocchi
Albert J. Valocchi University of Illinois at Urbana-Champaign
Guangtao Fu
Guangtao Fu University of Exeter
Robert J. Lempert
Robert J. Lempert RAND Corporation

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:

Best Scientists Citing Patrick M. Reed

Trending Scientists

Recently Published Articles