K.G. Cassman

2.2k total citations · 1 hit paper
28 papers, 1.5k citations indexed

About

K.G. Cassman is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, K.G. Cassman has authored 28 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 6 papers in Agronomy and Crop Science and 5 papers in Soil Science. Recurrent topics in K.G. Cassman's work include Legume Nitrogen Fixing Symbiosis (6 papers), Agronomic Practices and Intercropping Systems (5 papers) and Rice Cultivation and Yield Improvement (5 papers). K.G. Cassman is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (6 papers), Agronomic Practices and Intercropping Systems (5 papers) and Rice Cultivation and Yield Improvement (5 papers). K.G. Cassman collaborates with scholars based in United States, Philippines and United Kingdom. K.G. Cassman's co-authors include Robert W. Howarth, Nancy B. Grimm, Luiz Antônio Martinelli, Edward B. Rastetter, Christopher B. Field, Peter M. Vitousek, Timothy E. Crews, Cory C. Cleveland, Janet I. Sprent and Roxanne Marino and has published in prestigious journals such as Soil Science Society of America Journal, Journal of Environmental Quality and Soil Science.

In The Last Decade

K.G. Cassman

26 papers receiving 1.4k citations

Hit Papers

Towards an ecological understanding of biological nitroge... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.G. Cassman United States 14 655 535 344 289 233 28 1.5k
L. R. Spouncer Australia 8 533 0.8× 670 1.3× 252 0.7× 257 0.9× 117 0.5× 10 1.5k
C. Feller Germany 16 505 0.8× 852 1.6× 279 0.8× 187 0.6× 153 0.7× 46 1.5k
T. R. Ellsworth United States 20 578 0.9× 1.2k 2.3× 371 1.1× 529 1.8× 353 1.5× 35 2.4k
M. M. Alley United States 21 680 1.0× 584 1.1× 172 0.5× 239 0.8× 372 1.6× 58 1.4k
M. T. F. Wong Australia 25 495 0.8× 703 1.3× 150 0.4× 255 0.9× 160 0.7× 46 1.5k
Jonathan J. Halvorson United States 25 660 1.0× 989 1.8× 494 1.4× 251 0.9× 190 0.8× 72 2.1k
David J. Lyons Australia 11 327 0.5× 509 1.0× 173 0.5× 263 0.9× 111 0.5× 28 1.3k
Y. P. Kalra Canada 12 369 0.6× 377 0.7× 174 0.5× 151 0.5× 101 0.4× 26 1.1k
Rafaela Ordóñez‐Fernández Spain 22 459 0.7× 902 1.7× 229 0.7× 285 1.0× 242 1.0× 57 1.4k
F. B. Metting United States 12 456 0.7× 580 1.1× 234 0.7× 206 0.7× 99 0.4× 28 1.5k

Countries citing papers authored by K.G. Cassman

Since Specialization
Citations

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

Fields of papers citing papers by K.G. Cassman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.G. Cassman. 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 K.G. Cassman. The network helps show where K.G. Cassman may publish in the future.

Co-authorship network of co-authors of K.G. Cassman

This figure shows the co-authorship network connecting the top 25 collaborators of K.G. Cassman. A scholar is included among the top collaborators of K.G. Cassman 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 K.G. Cassman. K.G. Cassman 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.
Leenaars, J.G.B., Tomislav Hengl, M. Ruiperez González, et al.. (2015). Root zone plant-available water holding capacity of the Sub-Saharan Africa soil, version 1.0.. 6 indexed citations
2.
Powlson, D. S., Tom Addiscott, Nigel Benjamin, et al.. (2008). When Does Nitrate Become a Risk for Humans?. Journal of Environmental Quality. 37(2). 291–295. 240 indexed citations
3.
Olk, Dan C., K.G. Cassman, Merle M. Anders, et al.. (2005). Does anaerobic decomposition of crop residues impair soil nitrogen cycling and yield trends in lowland rice. 374–377.
4.
Kropff, M.J., K.G. Cassman, Shaobing Peng, & H.H. van Laar. (2003). Yields at IRRI research farm are still close to the climatic potential yield. Data Archiving and Networked Services (DANS). 2(28). 19–21. 1 indexed citations
5.
Vitousek, Peter M., K.G. Cassman, Cory C. Cleveland, et al.. (2002). Towards an ecological understanding of biological nitrogen fixation. Biogeochemistry. 57-58(1). 1–45. 668 indexed citations breakdown →
6.
Cowling, Ellis B., James N. Galloway, Mary Barber, et al.. (2001). Optimizing Nitrogen Management in Food and Energy Production and Environmental Protection: Summary Statement from the Second International Nitrogen Conference. The Scientific World JOURNAL. 1. 1–9. 146 indexed citations
7.
Linquist, Bruce A., Paul Singleton, & K.G. Cassman. (1997). INORGANIC AND ORGANIC PHOSPHORUS DYNAMICS DURING A BUILD-UP AND DECLINE OF AVAILABLE PHOSPHORUS IN AN ULTISOL. Soil Science. 162(4). 254–264. 74 indexed citations
8.
Douthwaite, Boru, et al.. (1995). Effect of stubble treatment on performance of ratoon rice. 2 indexed citations
9.
Garcia, F. V., Peng Sui, & K.G. Cassman. (1995). Yield potential of transplanted and wet seeded rice in high-yield environments in the Philippines. 3 indexed citations
10.
Olk, Daniel C. & K.G. Cassman. (1995). Reduction of Potassium Fixation by Two Humic Acid Fractions in Vermiculitic Soils. Soil Science Society of America Journal. 59(5). 1250–1258. 34 indexed citations
11.
Kropff, M.J., et al.. (1995). Predicting the yield potential of rice in different environments. Socio-Environmental Systems Modeling. 657–664. 13 indexed citations
12.
Cassman, K.G.. (1994). Breaking the yield barrier : proceedings of a Workshop on Rice Yield Potential in Favorable Environments IRRI, 29 Nobember - 4 December 1993. 14 indexed citations
13.
Kropff, M.J., K.G. Cassman, & H.H. van Laar. (1994). Quantitative understanding of the irrigated rice ecosystem and yield potential.. Socio-Environmental Systems Modeling. 97–113. 6 indexed citations
14.
Setter, T.L., Shushi Peng, G. S. Khush, M.J. Kropff, & K.G. Cassman. (1994). Yield potential of rice: Past, present, and future perspectives. Socio-Environmental Systems Modeling. 80–95. 5 indexed citations
15.
Brouder, Sylvie M. & K.G. Cassman. (1994). Evaluation of a Mechanistic Model of Potassium Uptake by Cotton in Vermiculitic Soil. Soil Science Society of America Journal. 58(4). 1174–1183. 21 indexed citations
16.
Cassman, K.G.. (1993). Nitrogen fixation in tropical cropping systems. Field Crops Research. 34(2). 230–232. 14 indexed citations
17.
Linquist, Bruce A., K.G. Cassman, Allan Fulton, & L. F. Jackson. (1992). Late-season nitrogen may be efficient way to increase winter wheat protein. California Agriculture. 46(2). 13–16. 2 indexed citations
18.
Cassman, K.G.. (1986). Soil crop management and plant factors which influence cotton gossypium hirsutum potassium nutrition on vermiculitic soils and the san joaquin valley california usa. 38–45. 1 indexed citations
19.
Cassman, K.G., D. N. Munns, & D. P. Beck. (1981). Growth of Rhizobium Strains at Low Concentrations of Phosphate. Soil Science Society of America Journal. 45(3). 520–523. 29 indexed citations
20.
Whitney, A. S., et al.. (1980). A Low‐Cost System For Circulating Nutrient Solutions In Pot Studies1. Crop Science. 20(1). 110–112. 3 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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