World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
52
Citations
8416
World Ranking
1948
National Ranking
510

Douglas J. Hunsaker 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 Douglas J. Hunsaker 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: 135 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Douglas J. Hunsaker 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 Douglas J. Hunsaker 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: 52 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Best Publications

  • Field-based phenomics for plant genetics research

    Jeffrey W. White;Pedro Andrade-Sanchez;Michael A. Gore;Kevin F. Bronson

  • Productivity and water use of wheat under free‐air CO2 enrichment

    Bruce A. Kimball;Paul J. Pinter;Richard L. Garcia;Robert L. LaMORTE

  • Vegetation index-based crop coefficients to estimate evapotranspiration by remote sensing in agricultural and natural ecosystems

    Edward P. Glenn;Christopher M. U. Neale;Doug J. Hunsaker;Pamela L. Nagler

  • Decreased CO2 availability and inactivation of Rubisco limit photosynthesis in cotton plants under heat and drought stress in the field

    A. Elizabete Carmo-Silva;Michael A. Gore;Pedro Andrade-Sanchez;Andrew N. French

  • Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index

    Douglas J. Hunsaker;Paul J. Pinter;Edward M. Barnes;Bruce A. Kimball

  • Elevated CO2, drought and soil nitrogen effects on wheat grain quality

    B. A. Kimball;C. F. Morris;P. J. Pinter;G. W. Wall

  • Free‐air CO2 enrichment and soil nitrogen effects on energy balance and evapotranspiration of wheat

    B. A. Kimball;R. L. LaMorte;P. J. Pinter;G. W. Wall

  • Wheat basal crop coefficients determined by normalized difference vegetation index

    Douglas J. Hunsaker;Paul J. Pinter;Bruce A. Kimball

  • Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models

    Andrew N. French;Douglas J. Hunsaker;Kelly R. Thorp

  • CO2 enrichment increases water-use efficiency in sorghum

    Matthew M. Conley;B. A. Kimball;T. J. Brooks;P. J. Pinter

  • Leaf nitrogen concentration of wheat subjected to elevated [CO2] and either water or N deficits

    T.R Sinclair;P.J Pinter;B.A Kimball;F.J Adamsen

  • Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method

    L.S. Pereira;P. Paredes;D.J. Hunsaker;R. López-Urrea

  • COTTON IRRIGATION SCHEDULING USING REMOTELY SENSED AND FAO-56 BASAL CROP COEFFICIENTS

    D. J. Hunsaker;E. M. Barnes;T. R. Clarke;G. J. Fitzgerald

  • CO2 enrichment and soil nitrogen effects on wheat evapotranspiration and water use efficiency.

    D.J Hunsaker;B.A Kimball;P.J Pinter;G.W Wall

  • Effects of free-air CO2 enrichment on energy balance and evapotranspiration of cotton

    B.A. Kimball;R.L. LaMorte;R.S. Seay;P.J. Pinter

  • Interactive effects of nitrogen fertilization and irrigation on grain yield, canopy temperature, and nitrogen use efficiency in overhead sprinkler-irrigated durum wheat

    Jarai Mon;K.F. Bronson;D.J. Hunsaker;K.R. Thorp

  • 13 – Free-Air CO2 Enrichment: Responses of Cotton and Wheat Crops

    Paul J. Pinter;Bruce A. Kimball;Richard L. Garcia;Gerard W. Wall

  • Overland Water Flow and Solute Transport: Model Development and Field-Data Analysis

    Fariborz Abbasi;Jirka Simunek;M. Th. van Genuchten;Jan Feyen

  • Interactive Effects of Elevated Carbon Dioxide and Drought on Wheat

    G. W. Wall;R. L. Garcia;B. A. Kimball;D. J. Hunsaker

  • Testing ceres-wheat with Free-Air Carbon dioxide enrichment (FACE) experiment data : CO2 and water interactions

    Francesco N. Tubiello;Cynthia Rosenzweig;Bruce A. Kimball;Paul J. Pinter

  • Carbon dioxide enrichment and irrigation effects on wheat evapotranspiration and water use efficiency

    D. J. Hunsaker;B. A. Kimball;P. J. Pinter;R. L. LaMorte

  • Remote Sensing of Cotton Nitrogen Status Using the Canopy Chlorophyll Content Index (CCCI)

    Disa M. El-Shikha;Edward M. Barnes;Thomas R. Clarke;Douglas J. Hunsaker

  • Field-Based High-Throughput Plant Phenotyping Reveals the Temporal Patterns of Quantitative Trait Loci Associated with Stress-Responsive Traits in Cotton

    Duke Pauli;Pedro Andrade-Sanchez;A. Elizabete Carmo-Silva;Elodie Gazave

  • Crop water relations under different CO2 and irrigation: testing of ecosys with the free air CO2 enrichment (FACE) experiment

    R.F. Grant;G.W. Wall;B.A. Kimball;K.F.A. Frumau

  • Sap flow measurements of transpiration from cotton grown under ambient and enriched CO2 concentrations

    W.A. Dugas;M.L. Heuer;D. Hunsaker;B.A. Kimball

  • WHEAT IRRIGATION MANAGEMENT USING MULTISPECTRAL CROP COEFFICIENTS: I. CROP EVAPOTRANSPIRATION PREDICTION

    Douglas J. Hunsaker;Glenn J. Fitzgerald;Andrew N. French;Thomas R. Clarke

  • Acclimation response of spring wheat in a free-air CO2 enrichment (FACE) atmosphere with variable soil nitrogen regimes. 2. Net assimilation and stomatal conductance of leaves

    Gerard W. Wall;Neal R. Adam;Neal R. Adam;Talbot J. Brooks;Bruce A. Kimball

  • Acclimation response of spring wheat in a free-air CO2 enrichment (FACE) atmosphere with variable soil nitrogen regimes. 3. Canopy architecture and gas exchange

    Talbot J. Brooks;Talbot J. Brooks;Gerard W. Wall;Paul J. Pinter;Bruce A. Kimball

  • Cotton Irrigation Scheduling Using a Crop Growth Model and FAO-56 Methods: Field and Simulation Studies

    Kelly R. Thorp;Douglas J. Hunsaker;Kevin F. Bronson;Pedro Andrade-Sanchez

  • Acclimation response of spring wheat in a free-air CO2 enrichment (FACE) atmosphere with variable soil nitrogen regimes. 1. Leaf position and phenology determine acclimation response

    Neal R. Adam;Gerard W. Wall;Bruce A. Kimball;Paul J. Pinter

  • Investigation of the influence of leaf thickness on canopy reflectance and physiological traits in upland and Pima cotton populations

    Duke Pauli;Jeffrey W. White;Pedro Andrade-Sanchez;Matthew M. Conley

  • ENERGY BALANCE ESTIMATION OF EVAPOTRANSPIRATION FOR WHEAT GROWN UNDER VARIABLE MANAGEMENT PRACTICES IN CENTRAL ARIZONA

    A. N. French;D. J. Hunsaker;T. R. Clarke;G. J. Fitzgerald

  • Precision irrigation management using modeling and remote sensing approaches.

    E. M. Barnes;P. J. Pinter;B. A. Kimball;D. J. Hunsaker

  • Wheat Irrigation Management Using Multispectral Crop Coefficients: II. Irrigation Scheduling Performance, Grain Yield, and Water Use Efficiency

    Douglas J. Hunsaker;Glenn J. Fitzgerald;Andrew N. French;Thomas R. Clarke

  • Nitrogen Fertilizer and Irrigation Effects on Seed Yield and Oil in Camelina

    Kevin F. Bronson;Douglas J. Hunsaker;Kelly R. Thorp

  • Combining Remotely Sensed Data and Ground-Based Radiometers to Estimate Crop Cover and Surface Temperatures at Daily Time Steps

    A. N. French;D. J. Hunsaker;T. R. Clarke;G. J. Fitzgerald

  • Effects of Elevated CO2 on Cotton and Wheat As Determined from FACE Experiments

    B. A. Kimball;P. J. Pinter;G. W. Wall Jr.;R. L. Garcia

  • Estimating Cotton Crop Water Use from Multispectral Aerial Imagery, 2003

    G. J. Fitzgerald;D. J. Hunsaker;E. M. Barnes;T. R. Clarke

Frequent Co-Authors

Paul J. Pinter
Paul J. Pinter Agricultural Research Service
Andrew N. French
Andrew N. French Agricultural Research Service
Bruce A. Kimball
Bruce A. Kimball Agricultural Research Service
Glenn J. Fitzgerald
Glenn J. Fitzgerald University of Melbourne
R. L. LaMorte
R. L. LaMorte Agricultural Research Service
Kelly R. Thorp
Kelly R. Thorp Agricultural Research Service
Gerard W. Wall
Gerard W. Wall Agricultural Research Service
Steven W. Leavitt
Steven W. Leavitt University of Arizona
Thomas L. Thompson
Thomas L. Thompson Virginia Tech
Kevin F. Bronson
Kevin F. Bronson Agricultural Research Service

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