World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
85
Citations
35839
World Ranking
734
National Ranking
317

Plant Science and Agronomy

D-Index
83
Citations
34746
World Ranking
366
National Ranking
125

John M. Norman publication distribution in Plant Science and Agronomy in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Plant Science and Agronomy in 2026. The highlighted bar marks where John M. Norman sits on this spectrum.

36–40 publications: 2 scientists 41–45 publications: 7 scientists 46–50 publications: 40 scientists 51–55 publications: 58 scientists 56–60 publications: 60 scientists 61–65 publications: 107 scientists 66–70 publications: 130 scientists 71–75 publications: 153 scientists 76–80 publications: 191 scientists 81–85 publications: 199 scientists 86–90 publications: 206 scientists 91–95 publications: 218 scientists 96–100 publications: 226 scientists 101–105 publications: 227 scientists 106–110 publications: 247 scientists 111–115 publications: 255 scientists 116–120 publications: 253 scientists 121–125 publications: 233 scientists 126–130 publications: 219 scientists 131–135 publications: 201 scientists 136–140 publications: 194 scientists 141–145 publications: 176 scientists 146–150 publications: 157 scientists 151–155 publications: 147 scientists 156–160 publications: 151 scientists 161–165 publications: 159 scientists 166–170 publications: 137 scientists 171–175 publications: 128 scientists 176–180 publications: 126 scientists 181–185 publications: 98 scientists 186–190 publications: 114 scientists 191–195 publications: 100 scientists 196–200 publications: 90 scientists 201–205 publications: 71 scientists 206–210 publications: 98 scientists 211–215 publications: 70 scientists 216–220 publications: 86 scientists 221–225 publications: 61 scientists 226–230 publications: 58 scientists 231–235 publications: 53 scientists 236–240 publications: 64 scientists 241–245 publications: 39 scientists 246–250 publications: 46 scientists 251–255 publications: 51 scientists 256–260 publications: 36 scientists 261–265 publications: 44 scientists 266–270 publications: 35 scientists 271–275 publications: 30 scientists 276–280 publications: 33 scientists 281–285 publications: 35 scientists 286–290 publications: 36 scientists 291–295 publications: 26 scientists 296–300 publications: 26 scientists 301–305 publications: 31 scientists 306–310 publications: 30 scientists 311–315 publications: 21 scientists 316–320 publications: 29 scientists 321–325 publications: 14 scientists 326–330 publications: 15 scientists 331–335 publications: 15 scientists 336–340 publications: 17 scientists 341–345 publications: 15 scientists 346–350 publications: 12 scientists 351–355 publications: 17 scientists 356–360 publications: 18 scientists 361–365 publications: 12 scientists 366–370 publications: 11 scientists 371–375 publications: 6 scientists 376–380 publications: 6 scientists 381–385 publications: 11 scientists 386–390 publications: 9 scientists 391–395 publications: 10 scientists 396–400 publications: 8 scientists 401–405 publications: 4 scientists 406–410 publications: 9 scientists 411–415 publications: 11 scientists 416–420 publications: 4 scientists 421–425 publications: 7 scientists 426–430 publications: 4 scientists 431–435 publications: 3 scientists 436–440 publications: 5 scientists 441–445 publications: 8 scientists 446–450 publications: 6 scientists 451–455 publications: 7 scientists 456–460 publications: 5 scientists 461–465 publications: 6 scientists 466 publications: 2 scientists 467+ publications: 99 scientists
36 publications 467+

This scientist: 222 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 467 publications or more.

John M. Norman D-index placement in Plant Science and Agronomy in 2026

The chart shows the D-index (discipline H-index) distribution of Plant Science and Agronomy scientists ranked by Research.com in 2026. The highlighted bar marks where John M. Norman sits on this spectrum.

30 D-Index: 200 scientists 31 D-Index: 236 scientists 32 D-Index: 253 scientists 33 D-Index: 283 scientists 34 D-Index: 288 scientists 35 D-Index: 240 scientists 36 D-Index: 246 scientists 37 D-Index: 243 scientists 38 D-Index: 247 scientists 39 D-Index: 229 scientists 40 D-Index: 232 scientists 41 D-Index: 230 scientists 42 D-Index: 228 scientists 43 D-Index: 219 scientists 44 D-Index: 193 scientists 45 D-Index: 164 scientists 46 D-Index: 158 scientists 47 D-Index: 143 scientists 48 D-Index: 131 scientists 49 D-Index: 127 scientists 50 D-Index: 122 scientists 51 D-Index: 122 scientists 52 D-Index: 110 scientists 53 D-Index: 102 scientists 54 D-Index: 98 scientists 55 D-Index: 79 scientists 56 D-Index: 85 scientists 57 D-Index: 88 scientists 58 D-Index: 91 scientists 59 D-Index: 62 scientists 60 D-Index: 61 scientists 61 D-Index: 59 scientists 62 D-Index: 54 scientists 63 D-Index: 61 scientists 64 D-Index: 59 scientists 65 D-Index: 58 scientists 66 D-Index: 41 scientists 67 D-Index: 49 scientists 68 D-Index: 39 scientists 69 D-Index: 32 scientists 70 D-Index: 40 scientists 71 D-Index: 47 scientists 72 D-Index: 38 scientists 73 D-Index: 28 scientists 74 D-Index: 29 scientists 75 D-Index: 28 scientists 76 D-Index: 22 scientists 77 D-Index: 21 scientists 78 D-Index: 25 scientists 79 D-Index: 26 scientists 80 D-Index: 19 scientists 81 D-Index: 16 scientists 82 D-Index: 12 scientists 83 D-Index: 16 scientists 84 D-Index: 14 scientists 85 D-Index: 11 scientists 86 D-Index: 17 scientists 87 D-Index: 13 scientists 88 D-Index: 10 scientists 89 D-Index: 12 scientists 90 D-Index: 18 scientists 91 D-Index: 16 scientists 92 D-Index: 16 scientists 93 D-Index: 17 scientists 94 D-Index: 12 scientists 95 D-Index: 8 scientists 96 D-Index: 9 scientists 97 D-Index: 9 scientists 98 D-Index: 11 scientists 99 D-Index: 12 scientists 100 D-Index: 5 scientists 101 D-Index: 8 scientists 102 D-Index: 4 scientists 103 D-Index: 11 scientists 104 D-Index: 5 scientists 105 D-Index: 9 scientists 106 D-Index: 7 scientists 107 D-Index: 4 scientists 108 D-Index: 8 scientists 109+ D-Index: 99 scientists
30 D-Index 109+

This scientist: 83 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 109 D-Index or more.

Research.com Recognitions

  • 2007 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Agriculture
  • Ecosystem

The scientist’s investigation covers issues in Remote sensing, Leaf area index, Vegetation, Atmospheric sciences and Canopy. His work on Radiometry as part of his general Remote sensing study is frequently connected to Surface, thereby bridging the divide between different branches of science. He interconnects Boreal and Black spruce, Taiga in the investigation of issues within Leaf area index.

The Vegetation study combines topics in areas such as Hydrology, Evapotranspiration and Meteorology, Satellite imagery. His biological study focuses on Sensible heat. His studies in Canopy integrate themes in fields like Plant cover, Thematic Mapper and Interception.

His most cited work include:

  • Correcting eddy-covariance flux underestimates over a grassland (1285 citations)
  • Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature (1082 citations)
  • Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems (951 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Remote sensing, Hydrology, Atmospheric sciences, Canopy and Agronomy. Remote sensing is closely attributed to Wind speed in his study. He has researched Atmospheric sciences in several fields, including Meteorology, Energy balance, Vegetation and Evapotranspiration.

His work carried out in the field of Canopy brings together such families of science as Leaf wetness, Interception, Leaf area index and Water content. His work in Agronomy addresses subjects such as Ecology, which are connected to disciplines such as Forestry. While the research belongs to areas of Sensible heat, John M. Norman spends his time largely on the problem of Heat flux, intersecting his research to questions surrounding Latent heat.

He most often published in these fields:

  • Remote sensing (27.43%)
  • Hydrology (23.43%)
  • Atmospheric sciences (22.29%)

What were the highlights of his more recent work (between 2004-2018)?

  • Hydrology (23.43%)
  • Atmospheric sciences (22.29%)
  • Remote sensing (27.43%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Hydrology, Atmospheric sciences, Remote sensing, Meteorology and Soil water. His research investigates the connection between Hydrology and topics such as Humidity that intersect with problems in Stomatal conductance. The study incorporates disciplines such as Soil plant atmosphere continuum, Canopy, Leaf area index, Heat flux and Vegetation in addition to Atmospheric sciences.

His Vegetation research is multidisciplinary, relying on both Planetary boundary layer and Sensible heat. His biological study spans a wide range of topics, including Radiation, Eddy covariance and Instrumentation. His Meteorology research incorporates themes from Remote sensing, Evapotranspiration and Geostationary orbit.

Between 2004 and 2018, his most popular works were:

  • A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation (447 citations)
  • Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery (324 citations)
  • A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales (292 citations)

In his most recent research, the most cited papers focused on:

  • Ecology
  • Agriculture
  • Ecosystem

John M. Norman focuses on Evapotranspiration, Meteorology, Remote sensing, Atmospheric sciences and Vegetation. His Meteorology research includes elements of Land use and Urban area. In his research on the topic of Remote sensing, Moisture, Soil respiration, Canopy conductance and Energy balance is strongly related with Eddy covariance.

His Atmospheric sciences research is multidisciplinary, incorporating perspectives in Hydrology, Canopy and Leaf area index. His Leaf area index research integrates issues from Radiation and Heat flux. John M. Norman has included themes like Planetary boundary layer and Sensible heat in his Vegetation study.

Best Publications

  • Correcting eddy-covariance flux underestimates over a grassland

    Tracy E Twine;W. P. Kustas;J. M. Norman;D. R. Cook

  • Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature

    J.M. Norman;W.P. Kustas;K.S. Humes

  • Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems

    Stith T. Gower;Chris J. Kucharik;John M. Norman

  • Leaf area index of boreal forests: theory, techniques, and measurements

    Jing M. Chen;Paul M. Rich;Stith T. Gower;John M. Norman

  • Instrument for Indirect Measurement of Canopy Architecture

    J. M. Welles;J. M. Norman

  • A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing

    M.C. Anderson;J.M. Norman;G.R. Diak;W.P. Kustas

  • Testing the performance of a dynamic global ecosystem model: Water balance, carbon balance, and vegetation structure

    Christopher J. Kucharik;Jonathan A. Foley;Christine Delire;Veronica A. Fisher

  • Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover

    William P Kustas;John M Norman

  • Use of remote sensing for evapotranspiration monitoring over land surfaces

    W. P. Kustas;J. M. Norman

  • A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation

    Martha C. Anderson;John M. Norman;John R. Mecikalski;Jason A. Otkin

  • The global distribution of cultivable lands: current patterns and sensitivity to possible climate change

    Navin Ramankutty;Jonathan A. Foley;John Norman;Kevin McSweeney

  • Estimating subpixel surface temperatures and energy fluxes from the vegetation index-radiometric temperature relationship

    William P. Kustas;John M. Norman;Martha C. Anderson;Andrew N. French

  • Carbon distribution and aboveground net primary production in aspen, jack pine, and black spruce stands in Saskatchewan and Manitoba, Canada

    S. T. Gower;J. G. Vogel;J. M. Norman;C. J. Kucharik

  • Root mass, net primary production and turnover in aspen, jack pine and black spruce forests in Saskatchewan and Manitoba, Canada

    Sarah J. Steele;Stith T. Gower;Jason G. Vogel;John M. Norman

  • Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery

    M. C. Anderson;W. P. Kustas;J. M. Norman;C. R. Hain

  • Terminology in thermal infrared remote sensing of natural surfaces

    John M. Norman;Francois Becker

  • A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales

    M.C. Anderson;J.M. Norman;W.P. Kustas;R. Houborg

  • Rapid Estimation of Leaf Area Index in Conifer and Broad-Leaf Plantations

    Stith T. Gower;John M. Norman

  • Simple equation to approximate the bidirectional reflectance from vegetative canopies and bare soil surfaces.

    Unknown

  • A comparison of six methods for measuring soil‐surface carbon dioxide fluxes

    J.M. Norman;C.J. Kucharik;S.T. Gower;D.D. Baldocchi

  • A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology

    Martha C. Anderson;John M. Norman;John R. Mecikalski;Jason A. Otkin

  • A comparison of optical and direct methods for estimating foliage surface area index in forests

    Karin S Fassnacht;Stith T Gower;John M Norman;Ross E McMurtric

  • Measurements of branch area and adjusting leaf area index indirect measurements

    Christopher J Kucharik;John M Norman;Stith T Gower

  • Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature [Agric. For. Meteorol., 77 (1995) 263–293]☆

    J.M. Norman;W.P. Kustas;K.S. Humes

Frequent Co-Authors

William P. Kustas
William P. Kustas Agricultural Research Service
Martha C. Anderson
Martha C. Anderson Agricultural Research Service
Stith T. Gower
Stith T. Gower North Carolina State University
Kristofor R. Brye
Kristofor R. Brye University of Arkansas at Fayetteville
Christopher J. Kucharik
Christopher J. Kucharik University of Wisconsin–Madison
Larry G. Bundy
Larry G. Bundy University of Wisconsin–Madison
Cristine L.S. Morgan
Cristine L.S. Morgan Texas A&M University
John H. Prueger
John H. Prueger Agricultural Research Service
Andrew N. French
Andrew N. French Agricultural Research Service
Timothy J. Arkebauer
Timothy J. Arkebauer University of Nebraska–Lincoln

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