World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
36
Citations
4735
World Ranking
9161
National Ranking
3287

Todd M. Scanlon 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 Todd M. Scanlon 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: 135 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Todd M. Scanlon 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 Todd M. Scanlon 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: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Todd M. Scanlon is affiliated with the University of Virginia in the United States and has conducted research primarily in the fields of Environmental Science and Earth and Planetary Sciences. Their work spans several interrelated subfields, including Global and Planetary Change, Atmospheric Science, Environmental Chemistry, Water Science and Technology, and Pollution.

The main research topics covered by Scanlon's work include Tree-ring climate responses, Plant Water Relations and Carbon Dynamics, Soil and Water Nutrient Dynamics, Water Quality and Resources Studies, Plant responses to elevated CO2, Smart Materials for Construction, and Atmospheric and Environmental Gas Dynamics.

Scanlon has published multiple papers in several scientific journals, among which the most frequent venues include:

  • Journal of Geophysical Research Biogeosciences
  • Atmospheric Environment
  • Remote Sensing of Environment
  • Global Ecology and Conservation
  • Hydrology

Recent notable publications by Scanlon include:

  • Mercury Accumulation in Tree Rings: Observed Trends in Quantity and Isotopic Composition in Shenandoah National Park, Virginia (2020) in Journal of Geophysical Research Biogeosciences
  • Observed changes in chronic and episodic acidification in Virginia mountain streams in response to the Clean Air Act and amendments (2021) in Atmospheric Environment

Other articles where Scanlon's work is connected include research published in 2020 such as "High Heterogeneity in Canopy Temperature Among Co-occurring Tree Species in a Temperate Forest" in Journal of Geophysical Research Biogeosciences and studies on forest growth, climate sensitivity, and stream acidification impacts.

Frequent collaborators across the body of work include:

  • Ami L. Riscassi
  • James N. Galloway
  • Daniel L. Druckenbrod
  • Manuel Lerdau
  • K. Yi

Best Publications

  • Positive feedbacks promote power-law clustering of Kalahari vegetation

    Todd M. Scanlon;Kelly K. Caylor;Simon Asher Levin;Ignacio Rodriguez-Iturbe

  • On soil moisture–vegetation feedbacks and their possible effects on the dynamics of dryland ecosystems

    Paolo D'Odorico;Kelly Caylor;Gregory S. Okin;Todd M. Scanlon

  • Determining land surface fractional cover from NDVI and rainfall time series for a savanna ecosystem

    Todd M Scanlon;John D Albertson;Kelly K Caylor;Chris A Williams

  • Plant acclimation to long-term high nitrogen deposition in an N-rich tropical forest.

    Xiankai Lu;Peter M Vitousek;Qinggong Mao;Frank S Gilliam

  • Partitioning carbon dioxide and water vapor fluxes using correlation analysis

    Todd M. Scanlon;William P. Kustas

  • Dynamic response of grass cover to rainfall variability: implications for the function and persistence of savanna ecosystems

    Todd M. Scanlon;Kelly K. Caylor;Salvatore Manfreda;Simon A. Levin

  • Canopy scale measurements of CO2 and water vapor exchange along a precipitation gradient in southern Africa

    Todd M. Scanlon;John D. Albertson

  • δ2H isotopic flux partitioning of evapotranspiration over a grass field following a water pulse and subsequent dry down

    Stephen P. Good;Keir Soderberg;Kaiyu Guan;Kaiyu Guan;Elizabeth G. King

  • On the correlation structure of water vapor and carbon dioxide in the atmospheric surface layer : A basis for flux partitioning

    Todd M. Scanlon;Parameswar Sahu

  • Modelling transport of dissolved silica in a forested headwater catchment: the effect of hydrological and chemical time scales on hysteresis in the concentration-discharge relationship

    George M. Hornberger;Todd M. Scanlon;Jeff P. Raffensperger

  • Modeling transport of dissolved silica in a forested headwater catchment: Implications for defining the hydrochemical response of observed flow pathways

    Todd M. Scanlon;Jeff P. Raffensperger;George M. Hornberger

  • Shallow subsurface storm flow in a forested headwater catchment: Observations and modeling using a modified TOPMODEL

    Todd M. Scanlon;Jeff P. Raffensperger;George M. Hornberger;Roger B. Clapp

  • More trees less loss: Nitrogen leaching losses decrease with increasing biomass in coffee agroforests

    Katherine L. Tully;Deborah Lawrence;Todd M. Scanlon

  • Ecohydrological optimization of pattern and processes in water-limited ecosystems: A trade-off-based hypothesis

    Kelly K. Caylor;Todd M. Scanlon;Ignacio Rodriguez-Iturbe

  • Managed grasslands: A greenhouse gas sink or source?

    Paul Leahy;Ger Kiely;Todd M. Scanlon

  • Comparing methods for partitioning a decade of carbon dioxide and water vapor fluxes in a temperate forest

    Benjamin N. Sulman;Benjamin N. Sulman;Daniel Tyler Roman;Daniel Tyler Roman;Todd M. Scanlon;Lixin Wang

  • Partitioning Evapotranspiration Using an Eddy Covariance-Based Technique: Improved Assessment of Soil Moisture and Land–Atmosphere Exchange Dynamics

    Todd M. Scanlon;William P. Kustas

  • Seasonal variability in gaseous mercury fluxes measured in a high-elevation meadow

    A.D. Converse;A.L. Riscassi;T.M. Scanlon

  • Large‐eddy simulation over heterogeneous terrain with remotely sensed land surface conditions

    John D. Albertson;William P. Kustas;Todd M. Scanlon

  • Decreased atmospheric sulfur deposition across the southeastern U.S.: When will watersheds release stored sulfate?

    Karen C. Rice;Karen C. Rice;Todd M. Scanlon;Jason A. Lynch;Bernard J. Cosby

  • Partitioning eddy covariance water flux components using physiological and micrometeorological approaches.

    Oscar Perez-Priego;Gabriel Katul;Markus Reichstein;Tarek S. El-Madany

Frequent Co-Authors

John D. Albertson
John D. Albertson Cornell University
Kelly K. Caylor
Kelly K. Caylor University of California, Santa Barbara
Paolo D'Odorico
Paolo D'Odorico University of California, Berkeley
James N. Galloway
James N. Galloway University of Virginia
Lixin Wang
Lixin Wang Indiana University – Purdue University Indianapolis
William P. Kustas
William P. Kustas Agricultural Research Service
Howard E. Epstein
Howard E. Epstein University of Virginia
Ignacio Rodriguez-Iturbe
Ignacio Rodriguez-Iturbe Texas A&M University
Matthew A. Vadeboncoeur
Matthew A. Vadeboncoeur University of New Hampshire
James P. Smith
James P. Smith Princeton University

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