World's Best Scientists 2026 revealed!

D-Index & Metrics

Plant Science and Agronomy

D-Index
48
Citations
13594
World Ranking
2343
National Ranking
588

Timothy J. Arkebauer 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 Timothy J. Arkebauer 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: 140 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Timothy J. Arkebauer 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 Timothy J. Arkebauer 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: 48 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Ecology
  • Agriculture
  • Agronomy

His primary scientific interests are in Agronomy, Growing season, Canopy, Vegetation and Remote sensing. His work in Agronomy addresses subjects such as Maintenance respiration, which are connected to disciplines such as Biomass partitioning, Water content and Stover. His Growing season research is multidisciplinary, incorporating elements of Eddy covariance, Ecosystem respiration, Irrigation, Photosynthetically active radiation and Moisture stress.

His Canopy research is multidisciplinary, incorporating perspectives in Photosynthesis, Chlorophyll and Chlorophyll content. His work deals with themes such as Climate model and Leaf area index, which intersect with Vegetation. He has researched Remote sensing in several fields, including Spatial ecology, Green leaf, Crop yield and Moderate-resolution imaging spectroradiometer.

His most cited work include:

  • Remote estimation of canopy chlorophyll content in crops (676 citations)
  • Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems (410 citations)
  • Remote estimation of leaf area index and green leaf biomass in maize canopies (325 citations)

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

His primary areas of investigation include Agronomy, Vegetation, Remote sensing, Growing season and Canopy. His Agronomy research is multidisciplinary, relying on both Transpiration and Water content. His work in the fields of Normalized Difference Vegetation Index overlaps with other areas such as Absorption.

The study incorporates disciplines such as Biosphere, Red edge, Crop yield, Moderate-resolution imaging spectroradiometer and Green leaf in addition to Remote sensing. His Growing season research incorporates themes from Primary production, Crop residue, Latent heat and Deciduous. His Canopy study combines topics from a wide range of disciplines, such as Photosynthesis, Photosynthetically active radiation, Chlorophyll, Atmospheric sciences and Leaf area index.

He most often published in these fields:

  • Agronomy (39.67%)
  • Vegetation (20.66%)
  • Remote sensing (19.83%)

What were the highlights of his more recent work (between 2017-2021)?

  • Atmospheric sciences (16.53%)
  • Vegetation (20.66%)
  • Remote sensing (19.83%)

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

The scientist’s investigation covers issues in Atmospheric sciences, Vegetation, Remote sensing, Eddy covariance and Canopy. His Vegetation research is multidisciplinary, incorporating perspectives in Satellite, Biosphere and Water content. His Remote sensing study integrates concerns from other disciplines, such as Green leaf, Crop biomass and Water supply.

His Canopy research integrates issues from Photosynthesis, Photosynthetically active radiation, Transpiration, Growing season and Water productivity. Timothy J. Arkebauer has included themes like Primary production, Evapotranspiration and Latent heat in his Growing season study. His study on Sensible heat also encompasses disciplines like

  • Biomass which intersects with area such as Leaf area index,
  • Agricultural engineering together with Agronomy.

Between 2017 and 2021, his most popular works were:

  • The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data (67 citations)
  • Improving maize growth processes in the community land model: Implementation and evaluation (36 citations)
  • Water productivity and crop yield: A simplified remote sensing driven operational approach (28 citations)

Best Publications

  • Remote estimation of canopy chlorophyll content in crops

    Anatoly A. Gitelson;Andrés Viña;Verónica Ciganda;Donald C. Rundquist

  • The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

    Gilberto Pastorello;Carlo Trotta;Eleonora Canfora;Housen Chu

  • Remote estimation of leaf area index and green leaf biomass in maize canopies

    Anatoly A. Gitelson;Anatoly A. Gitelson;Andrés Viña;Timothy J. Arkebauer;Donald C. Rundquist

  • Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems

    Shashi B. Verma;Achim Dobermann;Kenneth G. Cassman;Daniel T. Walters

  • Hybrid Maize - A maize simulation model that combines two crop modeling approaches

    H. S. Yang;A. Dobermann;John L. Lindquist;Daniel T. Walters

  • Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity

    Anatoly A. Gitelson;Andrés Viña;Andrés Viña;Shashi B. Verma;Donald C. Rundquist

  • Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites

    Housen Chu;Xiangzhong Luo;Xiangzhong Luo;Zutao Ouyang;W. Stephen Chan

  • Maize Radiation Use Efficiency under Optimal Growth Conditions

    John L. Lindquist;Timothy J. Arkebauer;Daniel T. Walters;Kenneth G. Cassman

  • A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data

    Toshihiro Sakamoto;Brian D. Wardlow;Anatoly A. Gitelson;Shashi B. Verma

  • Green leaf area index estimation in maize and soybean: Combining vegetation indices to achieve maximal sensitivity

    Anthony Nguy-Robertson;Anatoly Gitelson;Yi Peng;Andrés Viña

  • Relationships between gross primary production, green LAI, and canopy chlorophyll content in maize: Implications for remote sensing of primary production

    Anatoly A. Gitelson;Yi Peng;Yi Peng;Timothy J. Arkebauer;James Schepers

  • MODIS-based corn grain yield estimation model incorporating crop phenology information

    Toshihiro Sakamoto;Anatoly A. Gitelson;Timothy J. Arkebauer

  • The development and evaluation of a soil moisture index

    Eric D. Hunt;Kenneth G. Hubbard;Donald A. Wilhite;Timothy J. Arkebauer

  • Carbon dioxide exchange in a peatland ecosystem

    N. J. Shurpali;S. B. Verma;J. Kim;T. J. Arkebauer

  • Gross primary production and ecosystem respiration of irrigated maize and irrigated soybean during a growing season

    Andrew E. Suyker;Shashi B. Verma;George G. Burba;Timothy J. Arkebauer

  • Growing season carbon dioxide exchange in irrigated and rainfed maize

    A.E Suyker;S.B Verma;G.G Burba;T.J Arkebauer

  • An alternative method using digital cameras for continuous monitoring of crop status

    Toshihiro Sakamoto;Anatoly A. Gitelson;Anthony L. Nguy-Robertson;Timothy J. Arkebauer

  • Albedo estimates for land surface models and support for a new paradigm based on foliage nitrogen concentration

    David Y. Hollinger;S. V. Ollinger;A. D. Richardson;T. P. Meyers

  • Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm

    Anthony L. Nguy-Robertson;Yi Peng;Yi Peng;Anatoly A. Gitelson;Timothy J. Arkebauer

  • Near real-time prediction of U.S. corn yields based on time-series MODIS data

    Toshihiro Sakamoto;Anatoly A. Gitelson;Timothy J. Arkebauer

Frequent Co-Authors

Anatoly A. Gitelson
Anatoly A. Gitelson University of Nebraska–Lincoln
Andrew E. Suyker
Andrew E. Suyker University of Nebraska–Lincoln
Shashi B. Verma
Shashi B. Verma University of Nebraska–Lincoln
Daniel T. Walters
Daniel T. Walters University of Nebraska–Lincoln
Andrés Viña
Andrés Viña Michigan State University
Donald C. Rundquist
Donald C. Rundquist University of Nebraska–Lincoln
John L. Lindquist
John L. Lindquist University of Nebraska–Lincoln
Kenneth G. Cassman
Kenneth G. Cassman University of Nebraska–Lincoln
Achim Dobermann
Achim Dobermann International Fertilizer Association
Haishun Yang
Haishun Yang University of Nebraska–Lincoln

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