World's Best Scientists 2026 revealed!
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Plant Science and Agronomy
USA
2026

D-Index & Metrics

Plant Science and Agronomy

D-Index
98
Citations
43395
World Ranking
177
National Ranking
61

Research.com Recognitions

  • 2026 - Research.com Plant Science and Agronomy in United States Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Agriculture
  • Ecology
  • Statistics

Gerrit Hoogenboom focuses on Agronomy, DSSAT, Crop yield, Crop simulation model and Climate change. His research on Agronomy often connects related topics like Soil water. His biological study spans a wide range of topics, including Soil texture, Water balance, Cropping system and Sowing.

Many of his studies involve connections with topics such as Growing season and Crop yield. His work in Crop simulation model covers topics such as Statistics which are related to areas like Gene–environment interaction. His Climate change research includes elements of Agriculture, Precipitation and Yield.

His most cited work include:

  • The DSSAT cropping system model (2348 citations)
  • Decision support system for agrotechnology transfer: DSSAT v3 (832 citations)
  • Rising Temperatures Reduce Global Wheat Production (801 citations)

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

Gerrit Hoogenboom spends much of his time researching Agronomy, DSSAT, Irrigation, Crop and Crop simulation model. His Agronomy study is mostly concerned with Sowing, Cultivar, Cropping system, Crop yield and Phenology. As part of his studies on DSSAT, Gerrit Hoogenboom often connects relevant areas like Decision support system.

His Irrigation research incorporates themes from Water use, Soil water and Water content. His studies in Crop integrate themes in fields like Yield and Growing season. In his study, Gerrit Hoogenboom carries out multidisciplinary Crop simulation model and Simulation modeling research.

He most often published in these fields:

  • Agronomy (46.90%)
  • DSSAT (20.18%)
  • Irrigation (19.12%)

What were the highlights of his more recent work (between 2018-2021)?

  • Agronomy (46.90%)
  • Climate change (15.93%)
  • DSSAT (20.18%)

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

His main research concerns Agronomy, Climate change, DSSAT, Agriculture and Crop. All of his Agronomy and Sowing, Cultivar, Irrigation, Phenology and Leaf area index investigations are sub-components of the entire Agronomy study. His Irrigation study which covers Growing season that intersects with Dry weight.

His research in Climate change intersects with topics in Arid, Agricultural productivity, Food security and Yield. His Yield research includes elements of Representative Concentration Pathways and Crop yield. Gerrit Hoogenboom has included themes like Agricultural engineering, Cropping system, Decision support system and Greenhouse gas in his DSSAT study.

Between 2018 and 2021, his most popular works were:

  • Climate change impact and adaptation for wheat protein (97 citations)
  • The DSSAT crop modeling ecosystem (54 citations)
  • Global wheat production with 1.5 and 2.0°C above pre-industrial warming (40 citations)

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

  • Agriculture
  • Ecology
  • Statistics

Gerrit Hoogenboom mainly focuses on Agronomy, Climate change, Sowing, Crop and DSSAT. Gerrit Hoogenboom regularly ties together related areas like Co2 concentration in his Agronomy studies. Gerrit Hoogenboom has researched Climate change in several fields, including Transplanting, Growing degree-day, Yield, Arid and Food security.

Gerrit Hoogenboom combines subjects such as Biomass, Soil water, Yield, Tropical savanna climate and Anthesis with his study of Sowing. The concepts of his Crop study are interwoven with issues in Cultivar and Phenology. Gerrit Hoogenboom interconnects Cropping system, Agricultural engineering and Decision support system in the investigation of issues within DSSAT.

Best Publications

  • The DSSAT cropping system model

    J.W Jones;G Hoogenboom;C.H Porter;K.J Boote

  • Rising Temperatures Reduce Global Wheat Production

    S. Asseng;F. Ewert;P. Martre;P. Martre;R. P. Rötter

  • Climate impacts on global agriculture emerge earlier in new generation of climate and crop models

    Jonas Jägermeyr;Jonas Jägermeyr;Jonas Jägermeyr;Christoph Müller;Alex C. Ruane;Joshua Elliott

  • Contribution of agrometeorology to the simulation of crop production and its applications

    Gerrit Hoogenboom

  • Methodologies for simulating impacts of climate change on crop production

    Jeffrey W. White;Gerrit Hoogenboom;Bruce A. Kimball;Gerard W. Wall

  • Understanding options for agricultural production.

    Gordon Y. Tsuji;Gerrit Hoogenboom;Philip K. Thornton

  • Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.5 [CD-ROM]

    G. Hoogenboom;J. E. Jones;P. W. Wilkens;C. Q. Porter

  • Similar estimates of temperature impacts on global wheat yield by three independent methods

    Bing Liu;Bing Liu;Senthold Asseng;Christoph Müller;Frank Ewert

  • Climate change impact and adaptation for wheat protein

    Senthold Asseng;Pierre Martre;Andrea Maiorano;Reimund P Rötter

  • Simulation of crop growth: CROPGRO model

    Kenneth J. Boote;James W. Jones;Gerrit Hoogenboom

  • The CROPGRO model for grain legumes

    K. J. Boote;J. W. Jones;G. Hoogenboom;N. B. Pickering

  • The impact of climate variability and change on crop yield in Bulgaria

    V.A Alexandrov;G Hoogenboom

  • The DSSAT crop modeling ecosystem

    Gerrit Hoogenboom;Cheryl H. Porter;Kenneth J. Boote

  • DSSAT cropping system model

    J.W. Jones;G. Hoogenboom;C.H. Porter;K.J. Boote

  • Nitrate leaching in a silage maize field under different irrigation and nitrogen fertilizer rates

    Mahdi Gheysari;Seyed Majid Mirlatifi;Mehdi Homaee;Mohammad Esmaeil Asadi

  • Application of the CSM-CERES-Maize model for planting date evaluation and yield forecasting for maize grown off-season in a subtropical environment

    Cecilia Manuela Tojo Soler;Paulo César Sentelhas;Gerrit Hoogenboom

  • Modifying DSSAT Crop Models for Low-Input Agricultural Systems Using a Soil Organic Matter–Residue Module from CENTURY

    Arjan J. Gijsman;Gerrit Hoogenboom;William Julian Parton;Peter C. Kerridge

  • An evaluation of the statistical methods for testing the performance of crop models with observed data

    J.M. Yang;J.Y. Yang;S. Liu;S. Liu;G. Hoogenboom

  • The uncertainty of crop yield projections is reduced by improved temperature response functions.

    Enli Wang;Pierre Martre;Zhigan Zhao;Zhigan Zhao;Frank Ewert

  • Root growth rate of soybean as affected by drought stress

    Gerrit Hoogenboom;M. G. Huck;Curt M. Peterson

  • GENCALC: Software to Facilitate the Use of Crop Models for Analyzing Field Experiments

    L. A. Hunt;S. Pararajasingham;J. W. Jones;G. Hoogenboom

Frequent Co-Authors

Kenneth J. Boote
Kenneth J. Boote University of Florida
Jeffrey W. White
Jeffrey W. White University of Florida
James W. Jones
James W. Jones University of Florida
Senthold Asseng
Senthold Asseng Technical University of Munich
Sanun Jogloy
Sanun Jogloy Khon Kaen University
Ashfaq Ahmad
Ashfaq Ahmad University of Agriculture Faisalabad
Mohammad Bannayan
Mohammad Bannayan Ferdowsi University of Mashhad
Peter J. Thorburn
Peter J. Thorburn Commonwealth Scientific and Industrial Research Organisation
Andrew J. Challinor
Andrew J. Challinor University of Leeds
Shakeel Ahmad
Shakeel Ahmad Bahauddin Zakariya University

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