Brent W. Bean

746 total citations
26 papers, 583 citations indexed

About

Brent W. Bean is a scholar working on Agronomy and Crop Science, Plant Science and Soil Science. According to data from OpenAlex, Brent W. Bean has authored 26 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Agronomy and Crop Science, 13 papers in Plant Science and 5 papers in Soil Science. Recurrent topics in Brent W. Bean's work include Bioenergy crop production and management (9 papers), Weed Control and Herbicide Applications (8 papers) and Crop Yield and Soil Fertility (7 papers). Brent W. Bean is often cited by papers focused on Bioenergy crop production and management (9 papers), Weed Control and Herbicide Applications (8 papers) and Crop Yield and Soil Fertility (7 papers). Brent W. Bean collaborates with scholars based in United States, China and India. Brent W. Bean's co-authors include Baozhen Hao, Qingwu Xue, A. F. Wiese, Kirk E. Jessup, Wenwei Xu, E. D. Bynum, William L. Rooney, F. T. McCollum, K. C. McCuistion and Jacob Becker and has published in prestigious journals such as Field Crops Research, Biomass and Bioenergy and Crop Science.

In The Last Decade

Brent W. Bean

26 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brent W. Bean United States 13 342 315 163 69 67 26 583
Markku Kontturi Finland 14 545 1.6× 172 0.5× 106 0.7× 79 1.1× 54 0.8× 34 778
Ganghua Li China 11 494 1.4× 214 0.7× 164 1.0× 42 0.6× 60 0.9× 16 636
Miguel S. Castillo United States 15 192 0.6× 356 1.1× 161 1.0× 31 0.4× 58 0.9× 52 632
Fahong Wang China 14 649 1.9× 288 0.9× 233 1.4× 67 1.0× 25 0.4× 30 816
Fernando Muñoz Chile 13 327 1.0× 168 0.5× 70 0.4× 73 1.1× 71 1.1× 48 689
Laura E. Lindsey United States 15 540 1.6× 308 1.0× 205 1.3× 39 0.6× 20 0.3× 70 800
David N. Sundberg United States 8 204 0.6× 197 0.6× 124 0.8× 21 0.3× 45 0.7× 10 399
Yoana C. Newman United States 17 232 0.7× 364 1.2× 248 1.5× 71 1.0× 38 0.6× 67 714
James H. Houx United States 15 237 0.7× 225 0.7× 147 0.9× 31 0.4× 106 1.6× 34 514
M. B. Adjei United States 14 121 0.4× 163 0.5× 151 0.9× 22 0.3× 50 0.7× 41 496

Countries citing papers authored by Brent W. Bean

Since Specialization
Citations

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

Fields of papers citing papers by Brent W. Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brent W. Bean

This figure shows the co-authorship network connecting the top 25 collaborators of Brent W. Bean. A scholar is included among the top collaborators of Brent W. Bean 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 Brent W. Bean. Brent W. Bean 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.
Dille, J. Anita, Phillip W. Stahlman, Curtis R. Thompson, et al.. (2020). Potential yield loss in grain sorghum (Sorghum bicolor) with weed interference in the United States. Weed Technology. 34(4). 624–629. 19 indexed citations
2.
Hao, Baozhen, Qingwu Xue, T. H. Marek, et al.. (2015). Radiation‐Use Efficiency, Biomass Production, and Grain Yield in Two Maize Hybrids Differing in Drought Tolerance. Journal of Agronomy and Crop Science. 202(4). 269–280. 40 indexed citations
3.
Hao, Baozhen, Qingwu Xue, T. H. Marek, et al.. (2015). Water Use and Grain Yield in Drought‐Tolerant Corn in the Texas High Plains. Agronomy Journal. 107(5). 1922–1930. 46 indexed citations
4.
Hao, Baozhen, Qingwu Xue, Thomas Marek, et al.. (2015). Soil water extraction, water use, and grain yield by drought-tolerant maize on the Texas High Plains. Agricultural Water Management. 155. 11–21. 83 indexed citations
5.
Stahlman, Phillip W., et al.. (2014). Grain sorghum response and Palmer amaranth control with postemergence application of fluthiacet-methyl. International Journal of Pest Management. 60(3). 147–152. 5 indexed citations
6.
Bean, Brent W. & Michael Kroth. (2013). Moving beyond Mentoring: A Collective Case Study Examining the Perceived Characteristics of Positive Transformational Figures.. 42(2). 86–97. 3 indexed citations
7.
Bean, Brent W., R. Louis Baumhardt, F. T. McCollum, & K. C. McCuistion. (2012). Comparison of sorghum classes for grain and forage yield and forage nutritive value. Field Crops Research. 142. 20–26. 53 indexed citations
8.
Stefaniak, Thomas R., et al.. (2012). Variation in Biomass Composition Components among Forage, Biomass, Sorghum‐Sudangrass, and Sweet Sorghum Types. Crop Science. 52(4). 1949–1954. 45 indexed citations
9.
Bean, Brent W., et al.. (2011). Yield, Water Use Efficiency, and Nutritive Value of Six Warm-Season Perennial Grasses in Response to Irrigation Level. Forage and Grazinglands. 9(1). 1–8. 6 indexed citations
10.
Al‐Khatib, Kassim, Brian Olson, Phillip W. Stahlman, et al.. (2011). Efficacy of postemergence herbicides tankmixes in aryloxyphenoxypropionate-resistant grain sorghum. Crop Protection. 30(12). 1623–1628. 9 indexed citations
11.
McCuistion, K. C., Brent W. Bean, & F. T. McCollum. (2010). Nutritional Composition Response to Yield Differences in Brown Midrib, Non‐brown Midrib, and Photoperiod Sensitive Forage Sorghum Cultivars. Forage and Grazinglands. 8(1). 1–7. 11 indexed citations
12.
McCuistion, K. C., Brent W. Bean, & F. T. McCollum. (2009). Yield and Water‐use Efficiency Response to Irrigation Level of Brown Midrib, Non‐brown Midrib, and Photoperiod‐sensitive Forage Sorghum Cultivars. Forage and Grazinglands. 7(1). 1–7. 5 indexed citations
13.
Bean, Brent W., et al.. (2003). Sorghum Tillage in the Texas High Plains. OakTrust (Texas A&M University Libraries). 1 indexed citations
14.
Wiese, A. F., et al.. (1998). HIGH TEMPERATURE COMPOSTING OF CATTLE FEEDLOT MANURE KILLS WEED SEED. Applied Engineering in Agriculture. 14(4). 377–380. 36 indexed citations
15.
Wiese, A. F., et al.. (1997). Economic evaluation of field bindweed (Convolvulus arvensis) control. Weed Science. 45(2). 288–295. 5 indexed citations
16.
Wiese, A. F., et al.. (1997). Effect of Tillage Timing on Herbicide Toxicity to Field Bindweed. jpa. 10(3). 459–461. 1 indexed citations
17.
Wiese, A. F., et al.. (1996). Economic Evaluation of Field Bindweed (Convolvulus arvensis) Control in a Winter Wheat-Fallow Rotation. Weed Science. 44(3). 622–628. 9 indexed citations
18.
Wiese, A. F., et al.. (1995). Downy Brome (Bromus tectorum), Jointed Goatgrass (Aegilops cylindrica) and Horseweed (Conyza canadensis) Control in Fallow. Weed Technology. 9(2). 249–254. 25 indexed citations
19.
Bean, Brent W., Fred W. Roeth, Alex Martin, & Rob Wilson. (1988). Influence of Prior Pesticide Treatments on EPTC and Butylate Degradation. Weed Science. 36(1). 70–77. 9 indexed citations
20.
Bean, Brent W., Fred W. Roeth, Alex Martin, & Rob Wilson. (1988). Duration of Enhanced Soil Degradation of EPTC as Influenced by Herbicide Rotation, Time, and Location. Weed Science. 36(4). 524–530. 1 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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