Scott Chapman

22.0k citations
230 papers · 12.2k indexed · h-index 63

Scott Chapman

224 papers receiving 11.7k citations

Peers

Scott Chapman
Comparison fields: 5 of 141
  • Agronomy and Crop Science 3.8k
  • Plant Science 10.0k
  • Ecology, Evolution, Behavior and Systematics 2.0k
  • Genetics 2.7k
  • Soil Science 830
Replace J. L. Araus with:
J. L. Araus Spain
Matthew Reynolds Mexico
François Tardieu France
G. J. Rebetzke Australia
Jill E. Cairns Kenya
Robert T. Furbank Australia
Graeme Hammer Australia
Jeffrey W. White United States
Jianliang Huang China
Jonathan P. Lynch United States
Scott Chapman relative to J. L. Araus Spain J. L. Araus's profile →
Citations per field
00.5×1.5×2.2×
J. L. Araus · 1×
Citations per year

Countries citing papers authored by Scott Chapman

Since Specialization
Citations

This map shows the geographic impact of Scott Chapman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Scott Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Chapman more than expected).

Fields of papers citing papers by Scott Chapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Chapman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Scott Chapman. The network helps show where Scott Chapman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Scott Chapman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Chapman Line = papers co-authored together Scott Chapman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20252
3 20251
4 202418
5 20240
6 202411
7 20241
8 20241
9 202315
10 202320
11 202213
12 202260
13 202220
14 202142
15 202037
16 20204
17 2020168
18 20185
19
StressMaster: a web application for dynamic modelling of the environment to assist in crop improvement for drought adaptation
20135
20
Canopy architecture and nitrogen utilisation for biomass production: the contrast between maize and sunflower
20013

About Scott Chapman

Scott Chapman is a scholar working on Agronomy and Crop Science, Plant Science, Ecology, Evolution, Behavior and Systematics, Ecology and Genetics, having authored 230 papers that have together received 12.2k indexed citations. Recurring topics across this work include Genetics and Plant Breeding (69 papers), Crop Yield and Soil Fertility (65 papers), Wheat and Barley Genetics and Pathology (57 papers), Remote Sensing in Agriculture (47 papers), Genetic Mapping and Diversity in Plants and Animals (46 papers), Climate change impacts on agriculture (37 papers), Greenhouse Technology and Climate Control (22 papers) and Bioenergy crop production and management (22 papers). The work is most often cited by research in Agronomy and Crop Science (3.8k citations), Plant Science (10.0k citations), Ecology, Evolution, Behavior and Systematics (2.0k citations), Genetics (2.7k citations) and Soil Science (830 citations). Scott Chapman has collaborated with scholars based in Australia, United States and Mexico. Frequent co-authors include Graeme Hammer, Bangyou Zheng, Karine Chenu, Mark Cooper, M. Fernanda Dreccer, Matthew Reynolds, Erik van Oosterom, Greg McLean, C. Lynne McIntyre and Ky L. Mathews. Their work appears in journals such as Field Crops Research, Journal of Experimental Botany, Crop Science, Plant Phenomics and Crop and Pasture Science.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026