2026 Timothy J. Arkebauer: Plant Science and Agronomy Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Plant Science and Agronomy	48	2343	2163	588	517	140	13594

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

1747
Citations
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Gilberto Pastorello;Carlo Trotta;Eleonora Canfora;Housen Chu

1551
Citations
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

924
Citations
Annual carbon dioxide exchange in irrigated and rainfed maize-based agroecosystems

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

607
Citations
Hybrid Maize - A maize simulation model that combines two crop modeling approaches

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

500
Citations
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

496
Citations
Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites

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

453
Citations
Maize Radiation Use Efficiency under Optimal Growth Conditions

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

388
Citations
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

366
Citations
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

323
Citations
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

300
Citations
MODIS-based corn grain yield estimation model incorporating crop phenology information

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

264
Citations
The development and evaluation of a soil moisture index

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

256
Citations
Carbon dioxide exchange in a peatland ecosystem

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

242
Citations
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

218
Citations
Growing season carbon dioxide exchange in irrigated and rainfed maize

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

201
Citations
An alternative method using digital cameras for continuous monitoring of crop status

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

194
Citations
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

189
Citations
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

187
Citations
Near real-time prediction of U.S. corn yields based on time-series MODIS data

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

175
Citations