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Patrick M. Reed

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 71 979 924 333 299 265 16588

Patrick M. Reed publications per year

The chart shows the history of publications by Patrick M. Reed between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Patrick M. Reed published across 27 years, from 1999 to 2025, averaging 13.7 papers a year. Output peaked at 31 publications in 2020. 36 of the 370 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2020. 1999: 1 publication 2000: 4 publications 2001: 4 publications 2002: 1 publication 2003: 4 publications 2004: 8 publications 2005: 8 publications 2006: 11 publications 2007: 17 publications 2008: 14 publications 2009: 9 publications 2010: 8 publications 2011: 10 publications 2012: 14 publications 2013: 20 publications 2014: 16 publications 2015: 16 publications 2016: 14 publications 2017: 11 publications 2018: 17 publications 2019: 22 publications 2020: 31 publications 2021: 21 publications 2022: 27 publications 2023: 26 publications 2024: 21 publications 2025: 15 publications
1999 2025

370 publications in total across all disciplines

View publications per year as a table
Patrick M. Reed: publications per year, 1999 to 2025
Year Publications
1999 1
2000 4
2001 4
2002 1
2003 4
2004 8
2005 8
2006 11
2007 17
2008 14
2009 9
2010 8
2011 10
2012 14
2013 20
2014 16
2015 16
2016 14
2017 11
2018 17
2019 22
2020 31
2021 21
2022 27
2023 26
2024 21
2025 15
Total 370
Download as CSV

Patrick M. Reed publications per year - data summary

  • Patrick M. Reed, a Engineering and Technology scholar from Cornell University, has 370 publications recorded across 27 years, from 1999 to 2025.
  • The oldest publication on record dates to 1999 and the most recent to 2025.
  • The most productive year is 2020, with 31 publications.
  • The least productive years with any output are 1999 and 2002, with 1 publication each.
  • The rate of publication averages 13.7 papers per year over the whole span, or 13.7 per year counting only the 27 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 110 publications, 30% of the career total.
  • Split into equal eras - 1999-2007: 58 publications (6.4 per year); 2008-2016: 121 publications (13.4 per year); 2017-2025: 191 publications (21.2 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 258–267 publications, is where this scientist sits. 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
38–47 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.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240 265
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

Patrick M. Reed publication distribution in Engineering and Technology in 2026 - data summary

  • The chart plots the publication count of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 38–47 to 804+ publications.
  • Patrick M. Reed, a Engineering and Technology scholar from Cornell University, records 265 publications - the 68th percentile of the discipline.
  • 68% of ranked Engineering and Technology scientists score the same or lower than Patrick M. Reed, and about 32% score higher.
  • The median of the discipline falls in the 198–207 publications range, and Patrick M. Reed ranks above the median.
  • The most crowded range is 148–157 publications, holding 457 scientists (5% of the field).
  • 61% of the field sits in the lowest quarter of the value range (up to 228–237 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 804 publications or more, 100 scientists in all (1% of the field).

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.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 71 D-Index, is where this scientist sits. 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: 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.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69 71
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Patrick M. Reed D-index placement in Engineering and Technology in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 9,796 Engineering and Technology scientists ranked by Research.com in 2026, grouped into 78 ranges running from 30 to 107+ D-Index.
  • Patrick M. Reed, a Engineering and Technology scholar from Cornell University, records 71 D-Index - the 90th percentile of the discipline.
  • 90% of ranked Engineering and Technology scientists score the same or lower than Patrick M. Reed, and about 10% score higher.
  • The median of the discipline falls in the 47 D-Index range, and Patrick M. Reed ranks above the median.
  • The most crowded range is 42 D-Index, holding 426 scientists (4% of the field).
  • 57% of the field sits in the lowest quarter of the value range (up to 49 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 107 D-Index or more, 99 scientists in all (1% of the field).

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

External Links

Personal website of Patrick M. Reed Google Scholar page

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Best Scientists Citing Patrick M. Reed

Thorsten Wagener

Thorsten Wagener

University of Potsdam

Publications: 69

Holger R. Maier

Holger R. Maier

University of Adelaide

Publications: 61

Andrea Castelletti

Andrea Castelletti

Polytechnic University of Milan

Publications: 50

Dragan Savic

Dragan Savic

University of Exeter

Publications: 46

Klaus Keller

Klaus Keller

Dartmouth College

Publications: 45

Murugesu Sivapalan

Murugesu Sivapalan

University of Illinois at Urbana-Champaign

Publications: 37

Hoshin V. Gupta

Hoshin V. Gupta

University of Arizona

Publications: 35

Jan H. Kwakkel

Jan H. Kwakkel

Delft University of Technology

Publications: 34

Barbara S. Minsker

Barbara S. Minsker

Southern Methodist University

Publications: 31

Zoran Kapelan

Zoran Kapelan

Delft University of Technology

Publications: 28

Guangtao Fu

Guangtao Fu

University of Exeter

Publications: 28

Graeme C. Dandy

Graeme C. Dandy

University of Adelaide

Publications: 28

Jim W. Hall

Jim W. Hall

University of Oxford

Publications: 24

Angus R. Simpson

Angus R. Simpson

University of Adelaide

Publications: 24

Anthony J. Jakeman

Anthony J. Jakeman

Australian National University

Publications: 23

Martyn P. Clark

Martyn P. Clark

University of Saskatchewan

Publications: 23

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