W. R. Raun

15.0k total citations · 2 hit papers
247 papers, 11.5k citations indexed

About

W. R. Raun is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, W. R. Raun has authored 247 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Plant Science, 143 papers in Agronomy and Crop Science and 95 papers in Soil Science. Recurrent topics in W. R. Raun's work include Crop Yield and Soil Fertility (133 papers), Soil Carbon and Nitrogen Dynamics (70 papers) and Soil and Water Nutrient Dynamics (61 papers). W. R. Raun is often cited by papers focused on Crop Yield and Soil Fertility (133 papers), Soil Carbon and Nitrogen Dynamics (70 papers) and Soil and Water Nutrient Dynamics (61 papers). W. R. Raun collaborates with scholars based in United States, Mexico and Uganda. W. R. Raun's co-authors include Gordon V. Johnson, M. L. Stone, John B. Solie, K. W. Freeman, R. W. Mullen, G. V. Johnson, Wade E. Thomason, D. Brian Arnall, E. V. Lukina and A. R. Klatt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

W. R. Raun

244 papers receiving 10.8k citations

Hit Papers

Improving Nitrogen Use Ef... 1999 2026 2008 2017 1999 2002 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
W. R. Raun 7.2k 4.7k 3.8k 3.5k 1.8k 247 11.5k
Xinping Chen 7.0k 1.0× 3.8k 0.8× 6.3k 1.7× 3.0k 0.9× 1.5k 0.8× 205 13.4k
Urs Schmidhalter 6.7k 0.9× 1.5k 0.3× 2.3k 0.6× 3.0k 0.9× 1.4k 0.8× 269 10.1k
James S. Schepers 4.8k 0.7× 2.1k 0.4× 1.8k 0.5× 3.9k 1.1× 2.3k 1.2× 119 8.2k
B. L. 6.1k 0.8× 3.0k 0.6× 2.4k 0.6× 1.4k 0.4× 699 0.4× 195 8.8k
Xinping Chen 5.2k 0.7× 1.6k 0.3× 3.7k 1.0× 1.4k 0.4× 585 0.3× 257 10.1k
G. Lemaire 4.6k 0.6× 3.4k 0.7× 2.6k 0.7× 1.3k 0.4× 406 0.2× 222 7.6k
Nicolas Tremblay 4.1k 0.6× 1.1k 0.2× 1.4k 0.4× 3.0k 0.9× 1.2k 0.7× 149 6.6k
Newell R. Kitchen 2.5k 0.3× 1.5k 0.3× 2.7k 0.7× 1.6k 0.5× 3.1k 1.7× 187 7.5k
Cynthia A. Cambardella 2.8k 0.4× 1.7k 0.4× 7.9k 2.1× 2.1k 0.6× 3.0k 1.7× 91 12.3k
Rainer Georg Joergensen 5.3k 0.7× 2.0k 0.4× 13.2k 3.5× 6.0k 1.7× 801 0.4× 289 18.0k

Countries citing papers authored by W. R. Raun

Since Specialization
Citations

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

Fields of papers citing papers by W. R. Raun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. R. Raun. 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 W. R. Raun. The network helps show where W. R. Raun may publish in the future.

Co-authorship network of co-authors of W. R. Raun

This figure shows the co-authorship network connecting the top 25 collaborators of W. R. Raun. A scholar is included among the top collaborators of W. R. Raun 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 W. R. Raun. W. R. Raun 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.
Zhang, Hailin, et al.. (2023). Nitrogen, Phosphorus, and Potassium Uptake in Rain-Fed Corn as Affected by NPK Fertilization. Agronomy. 13(7). 1913–1913. 14 indexed citations
2.
Lambert, Dayton M., et al.. (2023). A Bayesian approach for analyzing crop yield response data with limited treatments. Agrosystems Geosciences & Environment. 6(2). 6 indexed citations
3.
Gholizadeh, Hamid, et al.. (2020). Application of Unmanned Aircraft System (UAS)-based RGB and Multispectral Data to Monitor Winter Wheat During the Growing Season. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
4.
Lambert, Dayton M., et al.. (2020). Bayesian Estimation and Economic Analysis of Under-Replicated Field Trials With a Linear Response Plateau Function. Journal of Agricultural Science. 12(10). 1–1. 5 indexed citations
5.
Dhillon, Jagmandeep, et al.. (2020). Applied use of growing degree days to refine optimum times for nitrogen stress sensing in winter wheat. Agronomy Journal. 112(1). 537–549. 16 indexed citations
6.
Aula, Lawrence, et al.. (2019). Influence of Applied Cattle Manure on Winter Wheat (Triticum aestivum L.) Grain Yield, Soil pH and Soil Organic Carbon. Communications in Soil Science and Plant Analysis. 50(16). 2056–2064. 8 indexed citations
7.
Raun, W. R., et al.. (2017). Predicting Early Season Nitrogen Rates of Corn Using Indicator Crops. Agronomy Journal. 109(6). 2863–2870. 4 indexed citations
8.
Omara, Peter, et al.. (2014). Effect of Seed Distribution and Population on Maize (Zea maysL.) Grain Yield. International Journal of Agronomy. 2014. 1–8. 17 indexed citations
9.
Ortiz‐Monasterio, Iván, et al.. (2013). USO DE SENSORES ÓPTICOS PARA LA FERTILIZACIÓN DE TRIGO (Triticum aestivum L.). Terra Latinoamericana. 31(2). 95–103. 4 indexed citations
10.
Kanke, Yumiko, et al.. (2009). Improving mid-season nitrogen recommendations for winter wheat using soil moisture data.. Better crops with plant food. 93(1). 26–27. 3 indexed citations
11.
Teal, R. K., K. W. Freeman, K. Girma, et al.. (2007). Effect of Tillage and Anhydrous Ammonia Application on Nitrogen Use Efficiency of Hard Red Winter Wheat. Journal of Sustainable Agriculture. 30(2). 51–67. 8 indexed citations
12.
Smith, Michael W., Bruce W. Wood, & W. R. Raun. (2007). Recovery and Partitioning of Nitrogen from Early Spring and Midsummer Applications to Pecan Trees. Journal of the American Society for Horticultural Science. 132(6). 758–763. 11 indexed citations
13.
Teal, R. K., Brenda Tubaña, K. Girma, et al.. (2006). In‐Season Prediction of Corn Grain Yield Potential Using Normalized Difference Vegetation Index. Agronomy Journal. 98(6). 1488–1494. 252 indexed citations
14.
Mullen, R. W., W. R. Raun, Nicholas T. Basta, Jackie L. Schroder, & K. W. Freeman. (2005). Effect of Long-Term Application of Biosolids on Molybdenum Content and Quality of Winter Wheat Forage. Journal of Plant Nutrition. 28(3). 405–420. 7 indexed citations
15.
Bell, G. E., et al.. (2004). Optical Sensing of Turfgrass Chlorophyll Content and Tissue Nitrogen. HortScience. 39(5). 1130–1132. 60 indexed citations
16.
Davis, Randall L., R. K. Teal, Jagadeesh Mosali, et al.. (2003). Nitrogen Balance in the Magruder Plots Following 109 Years in Continuous Winter Wheat. Journal of Plant Nutrition. 26(8). 1561–1580. 37 indexed citations
17.
Solie, John B., M. L. Stone, W. R. Raun, et al.. (2003). Real-time sensing and N fertilization with a field scale greenseekerTM applicator.. 1546–1556. 14 indexed citations
18.
Raun, W. R., John B. Solie, Gordon V. Johnson, et al.. (2002). Improving Nitrogen Use Efficiency in Cereal Grain Production with Optical Sensing and Variable Rate Application. Agronomy Journal. 94(4). 815–820. 557 indexed citations breakdown →
19.
Deng, Shaopo, et al.. (2002). Long-term cattle manure application in soil. Biology and Fertility of Soils. 35(5). 328–337. 193 indexed citations
20.
McCallister, D. L., Charles A. Shapiro, W. R. Raun, et al.. (1987). Rate of Phosphorus and Potassium Buildup/Decline with Fertilization for Corn and Wheat on Nebraska Mollisols. Soil Science Society of America Journal. 51(6). 1646–1652. 25 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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