Gregory S. McMaster

5.2k total citations · 1 hit paper
82 papers, 3.9k citations indexed

About

Gregory S. McMaster is a scholar working on Plant Science, Agronomy and Crop Science and Global and Planetary Change. According to data from OpenAlex, Gregory S. McMaster has authored 82 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Plant Science, 37 papers in Agronomy and Crop Science and 25 papers in Global and Planetary Change. Recurrent topics in Gregory S. McMaster's work include Crop Yield and Soil Fertility (33 papers), Wheat and Barley Genetics and Pathology (26 papers) and Plant Water Relations and Carbon Dynamics (20 papers). Gregory S. McMaster is often cited by papers focused on Crop Yield and Soil Fertility (33 papers), Wheat and Barley Genetics and Pathology (26 papers) and Plant Water Relations and Carbon Dynamics (20 papers). Gregory S. McMaster collaborates with scholars based in United States, India and China. Gregory S. McMaster's co-authors include W. W. Wilhelm, Paul H. Zedler, D. E. Smika, Jeffrey W. White, Jack A. Morgan, Wallace W. Wilhelm, Allan A. Andales, Timothy R. Green, Olaf David and J. A. Morgan and has published in prestigious journals such as Nature, PLoS ONE and Ecology.

In The Last Decade

Gregory S. McMaster

81 papers receiving 3.6k citations

Hit Papers

Growing degree-days: one equation, two interpretations 1997 2026 2006 2016 1997 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregory S. McMaster United States 30 2.3k 1.2k 1.1k 815 798 82 3.9k
H.H. van Laar Netherlands 30 3.3k 1.4× 1.3k 1.0× 1.0k 1.0× 468 0.6× 1.3k 1.6× 74 4.7k
Nadine Brisson France 28 2.4k 1.0× 1.5k 1.2× 1.1k 1.0× 667 0.8× 1.0k 1.3× 52 4.2k
John S. Pate Australia 42 4.4k 1.9× 1.3k 1.1× 1.0k 1.0× 593 0.7× 894 1.1× 116 6.0k
Martin Weih Sweden 41 2.8k 1.2× 1.7k 1.4× 2.1k 2.0× 767 0.9× 564 0.7× 177 5.9k
Jonathan Storkey United Kingdom 35 2.3k 1.0× 842 0.7× 819 0.8× 909 1.1× 1.4k 1.8× 105 4.9k
Jaime Kigel Israel 35 2.2k 0.9× 667 0.6× 471 0.4× 882 1.1× 1.0k 1.3× 115 4.1k
Marco Moriondo Italy 38 2.8k 1.2× 2.3k 1.9× 472 0.4× 1.2k 1.5× 1.4k 1.7× 131 5.5k
N. G. Seligman Israel 27 936 0.4× 591 0.5× 826 0.8× 649 0.8× 559 0.7× 78 2.7k
Shibu Jose United States 38 1.4k 0.6× 1.6k 1.3× 757 0.7× 972 1.2× 659 0.8× 152 5.1k
C.T. de Wit Netherlands 27 2.4k 1.0× 1.0k 0.9× 984 0.9× 645 0.8× 623 0.8× 80 4.3k

Countries citing papers authored by Gregory S. McMaster

Since Specialization
Citations

This map shows the geographic impact of Gregory S. McMaster'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 Gregory S. McMaster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory S. McMaster more than expected).

Fields of papers citing papers by Gregory S. McMaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory S. McMaster. 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 Gregory S. McMaster. The network helps show where Gregory S. McMaster may publish in the future.

Co-authorship network of co-authors of Gregory S. McMaster

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory S. McMaster. A scholar is included among the top collaborators of Gregory S. McMaster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory S. McMaster. Gregory S. McMaster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Douglas‐Mankin, Kyle R., et al.. (2023). Winter Wheat Crop Models Improve Growth Simulation by Including Phenological Response to Water-Deficit Stress. Environmental Modeling & Assessment. 29(2). 235–248. 3 indexed citations
2.
Sherrod, Lucretia A., Gregory S. McMaster, Jorge A. Delgado, et al.. (2018). Soil Carbon Pools in Dryland Agroecosystems as Affected by Several Years of Drought. Journal of Environmental Quality. 47(4). 766–773. 12 indexed citations
3.
Green, Timothy R., et al.. (2017). Where is the USA Corn Belt, and how is it changing?. The Science of The Total Environment. 618. 1613–1618. 110 indexed citations
4.
Steltzer, Heidi, et al.. (2016). Five years of phenology observations from a mixed-grass prairie exposed to warming and elevated CO2. Scientific Data. 3(1). 160088–160088. 11 indexed citations
5.
Brown‐Guedira, Gina, et al.. (2016). Allelic Variation in Developmental Genes and Effects on Winter Wheat Heading Date in the U.S. Great Plains. PLoS ONE. 11(4). e0152852–e0152852. 68 indexed citations
6.
Ascough, James C., et al.. (2015). The spatially-distributed agroecosystem-watershed (AgES-W) hydrologic/water quality (H/WQ) model for assessment of conservation effects. Digital Collections of Colorado (Colorado State University). 5 indexed citations
7.
Steltzer, Heidi, M. J. Trlica, Gregory S. McMaster, et al.. (2014). Elevated CO2 further lengthens growing season under warming conditions. Nature. 510(7504). 259–262. 159 indexed citations
8.
Johnson, Jerry J., et al.. (2014). Agronomic Factors Affecting Dryland Grain Sorghum Maturity and Production in Northeast Colorado. Agronomy Journal. 106(6). 2001–2012. 5 indexed citations
9.
McMaster, Gregory S.. (2005). Phytomers, phyllochrons, phenology and temperate cereal development. The Journal of Agricultural Science. 143(2-3). 137–150. 95 indexed citations
10.
McMaster, Gregory S., W. W. Wilhelm, & A. B. Frank. (2005). Developmental sequences for simulating crop phenology for water-limiting conditions. Australian Journal of Agricultural Research. 56(11). 1277–1288. 32 indexed citations
11.
Shaffer, M. J., P.N.S. Bartling, & Gregory S. McMaster. (2004). GPFARM modeling of corn yield and residual soil nitrate-N. Computers and Electronics in Agriculture. 43(2). 87–107. 10 indexed citations
12.
White, Jeffrey W., Gregory S. McMaster, & G.O. Edmeades. (2004). Physiology, genomics and crop response to global change. Field Crops Research. 90(1). 1–3. 11 indexed citations
13.
McMaster, Gregory S.. (2003). Spring Wheat Leaf Appearance and Temperature: Extending the Paradigm?. Annals of Botany. 91(6). 697–705. 46 indexed citations
14.
Wilhelm, Wallace W., et al.. (1998). Scales 2: Computer Program to Convert among Developmental Stage Scales for Corn and Small Grains. Agronomy Journal. 90(2). 235–238. 6 indexed citations
15.
McMaster, Gregory S. & Wallace W. Wilhelm. (1998). Is Soil Temperature Better than Air Temperature for Predicting Winter Wheat Phenology?. Agronomy Journal. 90(5). 602–607. 49 indexed citations
16.
McMaster, Gregory S.. (1997). Growing degree-days: one equation, two interpretations. Agricultural and Forest Meteorology. 87(4). 291–300. 1231 indexed citations breakdown →
17.
Wilhelm, W. W. & Gregory S. McMaster. (1995). イネ科植物の発育と成長の研究におけるフィロクロン(出葉間隔)の重要性. Crop Science. 35(1). 1–3. 1 indexed citations
18.
Wilhelm, W. W., et al.. (1993). Scales: a Computer Program to Convert among Three Developmental Stage Scales for Wheat. Agronomy Journal. 85(3). 758–763. 8 indexed citations
19.
McMaster, Gregory S. & Paul H. Zedler. (1981). Delayed seed dispersal in Pinus torreyana (Torrey pine). Oecologia. 51(1). 62–66. 42 indexed citations
20.
Cuthbertson, EG, et al.. (1976). Silverleaf nightshade - a potential threat to agriculture.. 87(6). 11–13. 29 indexed citations

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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