D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Plant Science and Agronomy D-index 43 Citations 10,167 230 World Ranking 1326 National Ranking 91

Overview

What is he best known for?

The fields of study he is best known for:

  • Agriculture
  • Statistics
  • Ecology

Claas Nendel spends much of his time researching Climate change, Agronomy, Crop, Crop yield and Yield. His Climate change research incorporates elements of Co2 concentration, Grain yield and Food security. His study in the field of Phenology and Crop rotation also crosses realms of Simulation modeling.

His work in Crop addresses subjects such as Growing season, which are connected to disciplines such as Agricultural engineering. His work in the fields of Crop yield, such as Crop simulation model, intersects with other areas such as Scale. His work investigates the relationship between Yield and topics such as Agriculture that intersect with problems in Global warming.

His most cited work include:

  • Rising Temperatures Reduce Global Wheat Production (801 citations)
  • Uncertainty in Simulating Wheat Yields Under Climate Change (749 citations)
  • How Do Various Maize Crop Models Vary in Their Responses to Climate Change Factors (366 citations)

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

His primary areas of investigation include Agronomy, Crop, Climate change, Crop yield and Agriculture. In his study, which falls under the umbrella issue of Agronomy, Water use, Algorithm, Fertilizer and Biomass is strongly linked to Soil water. His research in Crop intersects with topics in Winter wheat, Cultivar, Transect and Sowing.

Many of his research projects under Climate change are closely connected to Simulation modeling with Simulation modeling, tying the diverse disciplines of science together. The various areas that he examines in his Crop yield study include Yield, Arable land, Water content and Yield. Claas Nendel interconnects Agroforestry, Agricultural engineering and Greenhouse gas in the investigation of issues within Agriculture.

He most often published in these fields:

  • Agronomy (36.09%)
  • Crop (27.82%)
  • Climate change (27.07%)

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

  • Climate change (27.07%)
  • Crop (27.82%)
  • Agronomy (36.09%)

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

Claas Nendel mainly focuses on Climate change, Crop, Agronomy, Agriculture and Crop yield. His studies deal with areas such as Boreal, Biomass, Leaf area index, Amazon rainforest and Mediterranean climate as well as Climate change. The concepts of his Crop study are interwoven with issues in Monoculture, Cultivar, Yield, Sowing and Land cover.

His Agronomy study combines topics from a wide range of disciplines, such as Selection, Soil water, Leaching and Food security. The Agriculture study combines topics in areas such as Agroforestry, Library science, Natural resource and Ecosystem services. His study in Crop yield is interdisciplinary in nature, drawing from both Extreme events, Agricultural engineering, Growing season and Water content.

Between 2017 and 2021, his most popular works were:

  • Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping (105 citations)
  • Climate change impact and adaptation for wheat protein (97 citations)
  • Diverging importance of drought stress for maize and winter wheat in Europe (76 citations)

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

  • Agriculture
  • Statistics
  • Ecology

Climate change, Crop, Statistics, Simulation modeling and Food security are his primary areas of study. His Climate change study integrates concerns from other disciplines, such as Ecosystem services, Deforestation, Agronomy and Amazon rainforest. His Agronomy study integrates concerns from other disciplines, such as Cropping and Global change.

His Crop study which covers Yield that intersects with Boreal, Probabilistic logic and Mediterranean climate. His work on Range as part of general Statistics research is frequently linked to Monotonic function, Ensemble average, High skill and Inverse, thereby connecting diverse disciplines of science. His Food security research incorporates elements of Climate resilience, Cultivar and Staple food.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Rising Temperatures Reduce Global Wheat Production

S. Asseng;F. Ewert;P. Martre;P. Martre;R. P. Rötter.
Nature Climate Change (2015)

1485 Citations

Uncertainty in Simulating Wheat Yields Under Climate Change

S. Asseng;F. Ewert;C. Rosenzweig;J. W. Jones.
Nature Climate Change (2013)

1143 Citations

How Do Various Maize Crop Models Vary in Their Responses to Climate Change Factors

Simona Bassu;Nadine Brisson;Jean Louis Durand;Kenneth Boote.
Global Change Biology (2014)

651 Citations

Multimodel ensembles of wheat growth: many models are better than one

Pierre Martre;Pierre Martre;Daniel Wallach;Senthold Asseng;Frank Ewert.
Global Change Biology (2015)

403 Citations

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

Bing Liu;Bing Liu;Senthold Asseng;Christoph Müller;Frank Ewert.
(2016)

332 Citations

Simulation of spring barley yield in different climatic zones of Northern and Central Europe: A comparison of nine crop models

Reimund P. Rötter;Taru Palosuo;Kurt Christian Kersebaum;Carlos Angulo.
Field Crops Research (2012)

314 Citations

Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping

Patrick Griffiths;Patrick Griffiths;Claas Nendel;Patrick Hostert.
Remote Sensing of Environment (2019)

263 Citations

Climate change impact and adaptation for wheat protein

Senthold Asseng;Pierre Martre;Andrea Maiorano;Reimund P Rötter.
Global Change Biology (2019)

252 Citations

Crop modelling for integrated assessment of risk to food production from climate change

F. Ewert;R.P. Rötter;M. Bindi;H. Webber.
(2015)

248 Citations

The MONICA model: Testing predictability for crop growth, soil moisture and nitrogen dynamics

C. Nendel;M. Berg;K.C. Kersebaum;W. Mirschel.
Ecological Modelling (2011)

214 Citations

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