World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
42
Citations
9558
World Ranking
7294
National Ranking
2600

Jordan S. Read publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Jordan S. Read sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 114 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Jordan S. Read D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Jordan S. Read sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 42 D-Index — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Jordan S. Read is affiliated with the United States Geological Survey in the United States. Their research primarily spans Environmental Science with focused subfields including Environmental Engineering, Endocrinology, Diabetes and Metabolism, Water Science and Technology, Nature and Landscape Conservation, and Artificial Intelligence.

The scientist's work covers several main topics, including:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Adrenal Hormones and Disorders
  • Fish Ecology and Management Studies
  • Hormonal Regulation and Hypertension
  • Model Reduction and Neural Networks
  • Flood Risk Assessment and Management

Jordan S. Read has published extensively, including notable recent papers such as:

  • "Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles" (2021), published in ACM/IMS Transactions on Data Science
  • "Predicting Lake Surface Water Phosphorus Dynamics Using Process-Guided Machine Learning" (2020), published in Ecological Modelling
  • "Predicting Water Temperature Dynamics of Unmonitored Lakes With Meta-Transfer Learning" (2021), published in Water Resources Research
  • "Multi-Task Deep Learning of Daily Streamflow and Water Temperature" (2022), published in Water Resources Research
  • "Nothing About Us Without Us: Using Participatory Action Research (PAR) and Arts-Based Methods as Empowerment and Social Justice Tools in Doing Research with Youth 'Aging Out' of Care" (2021), published in Child Abuse & Neglect

The scientist frequently collaborates with other researchers, notably including Xiaowei Jia, Alison Appling, Jacob A. Zwart, Samantha K. Oliver, and Jeffrey M. Sadler.

Many of Read's publications appear in venues such as Endocrine Abstracts, HydroShare Resources, arXiv (Cornell University), Water Resources Research, and the 2021 IEEE International Conference on Data Mining (ICDM).

Best Publications

  • Rapid and highly variable warming of lake surface waters around the globe

    Catherine M. O'Reilly;Sapna Sharma;Derek K. Gray;Stephanie E. Hampton

  • Ecosystem Consequences of Changing Inputs of Terrestrial Dissolved Organic Matter to Lakes: Current Knowledge and Future Challenges

    Christopher T. Solomon;Stuart E. Jones;Brian C. Weidel;Ishi Buffam

  • Derivation of lake mixing and stratification indices from high-resolution lake buoy data

    Jordan S. Read;David P. Hamilton;Ian D. Jones;Kohji Muraoka

  • Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

    Anuj Karpatne;William Watkins;Jordan S. Read;Vipin Kumar

  • Ecology under lake ice

    Stephanie E. Hampton;Aaron W.E. Galloway;Stephen M. Powers;Ted Ozersky

  • The metabolic regimes of flowing waters

    Emily S. Bernhardt;Jim B. Heffernan;Nancy B. Grimm;Emily H. Stanley

  • Process-Guided Deep Learning Predictions of Lake Water Temperature

    Jordan S. Read;Xiaowei Jia;Jared Willard;Alison P. Appling

  • Lake‐size dependency of wind shear and convection as controls on gas exchange

    Jordan S. Read;David P. Hamilton;Ankur R. Desai;Kevin C. Rose;Kevin C. Rose

  • Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles

    Xiaowei Jia;Jared Willard;Anuj Karpatne;Jordan S. Read

  • Lake microbial communities are resilient after a whole-ecosystem disturbance

    Ashley Shade;Jordan S Read;Nicholas D Youngblut;Noah Fierer

  • A global database of lake surface temperatures collected by in situ and satellite methods from 1985–2009

    Sapna Sharma;Derek K. Gray;Jordan S. Read;Catherine M. O'Reilly

  • A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON)

    Matthew R. Hipsey;Louise C. Bruce;Casper Boon;Brendan Busch

  • Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

    Xiaowei Jia;Jared Willard;Anuj Karpatne;Jordan S. Read

  • Water quality data for national-scale aquatic research: The Water Quality Portal

    Emily K. Read;Lindsay Carr;Laura De Cicco;Hilary A. Dugan

  • Physical responses of small temperate lakes to variation in dissolved organic carbon concentrations

    Jordan S. Read;Kevin C. Rose

  • Projected shifts in fish species dominance in Wisconsin lakes under climate change

    Gretchen J. A. Hansen;Jordan S. Read;Jonathan F. Hansen;Luke A. Winslow

  • Resistance, resilience and recovery: Aquatic bacterial dynamics after water column disturbance

    Ashley Shade;Jordan S. Read;David G. Welkie;Timothy K. Kratz

  • Climate‐induced warming of lakes can be either amplified or suppressed by trends in water clarity

    Kevin C. Rose;Luke A. Winslow;Jordan S. Read;Gretchen J. A. Hansen

  • Simulating 2368 temperate lakes reveals weak coherence in stratification phenology

    Jordan S. Read;Luke A. Winslow;Gretchen J.A. Hansen;Gretchen J.A. Hansen;Jamon Van Den Hoek

  • A multi-lake comparative analysis of the General Lake Model (GLM) : Stress-testing across a global observatory network

    Louise C. Bruce;Marieke A. Frassl;Marieke A. Frassl;George B. Arhonditsis;Gideon Gal

Frequent Co-Authors

Paul C. Hanson
Paul C. Hanson University of Wisconsin–Madison
Vipin Kumar
Vipin Kumar University of Minnesota
David P. Hamilton
David P. Hamilton Griffith University
John D. Lenters
John D. Lenters University of Wisconsin–Madison
Cayelan C. Carey
Cayelan C. Carey Virginia Tech
Emily H. Stanley
Emily H. Stanley University of Wisconsin–Madison
Stephanie E. Hampton
Stephanie E. Hampton Washington State University
Matthew R. Hipsey
Matthew R. Hipsey University of Western Australia
Simon J. Hook
Simon J. Hook California Institute of Technology
Katherine D. McMahon
Katherine D. McMahon University of Wisconsin–Madison

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