Paul J. Pinter

What is he best known for?

The fields of study he is best known for:

• Ecology
• Botany
• Agriculture

His main research concerns Agronomy, Evapotranspiration, Growing season, Remote sensing and Carbon dioxide. The Agronomy study combines topics in areas such as Ecophysiology, Soil fertility and Nitrogen assimilation. His Evapotranspiration study incorporates themes from Biomass, Water use and Energy balance.

Paul J. Pinter combines subjects such as Plant growth and Vegetation with his study of Remote sensing. His Carbon dioxide study integrates concerns from other disciplines, such as Sorghum, Water-use efficiency, Biomass, Poaceae and Yield. His biological study deals with issues like Soil water, which deal with fields such as Canopy.

His most cited work include:

• Canopy temperature as a crop water stress indicator (1211 citations)
• Remote Sensing for Crop Management (413 citations)
• Productivity and water use of wheat under free‐air CO2 enrichment (294 citations)

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

Paul J. Pinter spends much of his time researching Agronomy, Remote sensing, Evapotranspiration, Carbon dioxide and Canopy. Paul J. Pinter works mostly in the field of Agronomy, limiting it down to concerns involving Soil water and, occasionally, Anthesis. His Remote sensing research is multidisciplinary, relying on both Plant cover and Vegetation.

His work carried out in the field of Evapotranspiration brings together such families of science as Energy balance, Water use, Water-use efficiency, Latent heat and Irrigation scheduling. His research in Carbon dioxide intersects with topics in Field experiment, Botany, Sorghum, Stomatal conductance and Transpiration. His study looks at the intersection of Canopy and topics like Biomass with Crop simulation model.

He most often published in these fields:

• Agronomy (36.36%)
• Remote sensing (29.37%)
• Evapotranspiration (24.48%)

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

• Agronomy (36.36%)
• Evapotranspiration (24.48%)
• Soil water (19.58%)

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

Paul J. Pinter mostly deals with Agronomy, Evapotranspiration, Soil water, Irrigation scheduling and Remote sensing. His work carried out in the field of Agronomy brings together such families of science as Carbon dioxide and Nitrogen assimilation. His Evapotranspiration research includes elements of Poaceae and Root system.

His biological study spans a wide range of topics, including Total organic carbon, Carbon cycle and Botany. His Irrigation scheduling study combines topics from a wide range of disciplines, such as Vegetation and Crop coefficient. His work on Aerial imagery and Radiometer as part of his general Remote sensing study is frequently connected to Thermal infrared and Field, thereby bridging the divide between different branches of science.

Between 2004 and 2018, his most popular works were:

• Nitrate assimilation is inhibited by elevated CO 2 in field-grown wheat (126 citations)
• COTTON IRRIGATION SCHEDULING USING REMOTELY SENSED AND FAO-56 BASAL CROP COEFFICIENTS (115 citations)
• Wheat basal crop coefficients determined by normalized difference vegetation index (107 citations)

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

• Ecology
• Botany
• Agriculture

The scientist’s investigation covers issues in Agronomy, Normalized Difference Vegetation Index, Evapotranspiration, Crop coefficient and Irrigation scheduling. The Agronomy study combines topics in areas such as Stomatal conductance, Ecophysiology and Nitrogen assimilation. Paul J. Pinter has included themes like Endmember and Remote sensing in his Normalized Difference Vegetation Index study.

The various areas that Paul J. Pinter examines in his Evapotranspiration study include Water use, Water balance, Poaceae, Root system and Drought tolerance. His research on Crop coefficient concerns the broader Irrigation. His Irrigation research is multidisciplinary, incorporating perspectives in Growing season, Statistics, Leaf area index and Polynomial regression.