Kevin W. Bradley

3.6k total citations · 1 hit paper
80 papers, 2.3k citations indexed

About

Kevin W. Bradley is a scholar working on Plant Science, Pollution and Agronomy and Crop Science. According to data from OpenAlex, Kevin W. Bradley has authored 80 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Plant Science, 21 papers in Pollution and 18 papers in Agronomy and Crop Science. Recurrent topics in Kevin W. Bradley's work include Weed Control and Herbicide Applications (64 papers), Legume Nitrogen Fixing Symbiosis (29 papers) and Pesticide and Herbicide Environmental Studies (21 papers). Kevin W. Bradley is often cited by papers focused on Weed Control and Herbicide Applications (64 papers), Legume Nitrogen Fixing Symbiosis (29 papers) and Pesticide and Herbicide Environmental Studies (21 papers). Kevin W. Bradley collaborates with scholars based in United States, India and Australia. Kevin W. Bradley's co-authors include Jason K. Norsworthy, Mandy Bish, Stephen B. Powles, Nilda R. Burgos, Rick Llewellyn, Sarah Ward, David Shaw, Robert L. Nichols, George B. Frisvold and Theodore M. Webster and has published in prestigious journals such as Journal of Environmental Quality, Remote Sensing and Agronomy Journal.

In The Last Decade

Kevin W. Bradley

77 papers receiving 2.2k citations

Hit Papers

Reducing the Risks of Herbicide Resistance: Best Manageme... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin W. Bradley United States 24 2.1k 979 507 378 150 80 2.3k
Timothy L. Grey United States 22 2.5k 1.2× 911 0.9× 474 0.9× 619 1.6× 158 1.1× 161 2.8k
Bryan G. Young United States 30 2.7k 1.3× 1.2k 1.3× 571 1.1× 573 1.5× 191 1.3× 152 2.9k
Mark J. VanGessel United States 25 2.2k 1.0× 791 0.8× 615 1.2× 395 1.0× 185 1.2× 92 2.4k
Vince M. Davis United States 24 1.6k 0.7× 663 0.7× 373 0.7× 275 0.7× 106 0.7× 48 1.7k
A. Stanley Culpepper United States 30 3.2k 1.5× 1.4k 1.4× 657 1.3× 952 2.5× 157 1.0× 120 3.3k
Clifford H. Koger United States 24 1.6k 0.8× 766 0.8× 243 0.5× 398 1.1× 138 0.9× 54 1.8k
Darren E. Robinson Canada 21 1.5k 0.7× 871 0.9× 344 0.7× 164 0.4× 98 0.7× 198 1.7k
Jason A. Bond United States 24 1.8k 0.9× 744 0.8× 350 0.7× 335 0.9× 146 1.0× 113 1.9k
Dean M Peterson United States 30 2.4k 1.1× 839 0.9× 526 1.0× 561 1.5× 167 1.1× 89 2.7k
Pedro Jacob Christoffoleti Brazil 27 2.5k 1.2× 989 1.0× 519 1.0× 447 1.2× 92 0.6× 188 2.6k

Countries citing papers authored by Kevin W. Bradley

Since Specialization
Citations

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

Fields of papers citing papers by Kevin W. Bradley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin W. Bradley

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin W. Bradley. A scholar is included among the top collaborators of Kevin W. Bradley 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 Kevin W. Bradley. Kevin W. Bradley 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.
Bish, Mandy, et al.. (2024). Atmospheric deposition of dicamba herbicide can cause injury to sensitive soybean. Weed Science. 72(4). 422–431. 3 indexed citations
2.
Needelman, Brian A., Victoria J. Ackroyd, Muthukumar Bagavathiannan, et al.. (2024). Early‐season biomass and weather enable robust cereal rye cover crop biomass predictions. Agricultural & Environmental Letters. 9(1). 3 indexed citations
3.
Duke, Stephen O., Roland Beffa, Patrick J. Tranel, et al.. (2023). Discovery, mode of action, resistance mechanisms, and plan of action for sustainable use of Group 14 herbicides. Weed Science. 71(3). 173–188. 23 indexed citations
4.
Bish, Mandy, et al.. (2023). Harvest weed seed control in soybean with an impact mill. Weed Technology. 37(2). 113–122. 5 indexed citations
5.
Bish, Mandy, et al.. (2022). The impact of electrocution treatments on weed control and weed seed viability in soybean. Weed Technology. 36(4). 481–489. 14 indexed citations
7.
Bish, Mandy, et al.. (2021). Effects of cereal rye seeding rate on waterhemp (Amaranthus tuberculatus) emergence and soybean growth and yield. Weed Technology. 35(5). 838–844. 8 indexed citations
8.
Bradley, Kevin W., et al.. (2021). Influence of recovery treatments on dicamba-injured soybean. Weed Technology. 36(1). 1–7. 2 indexed citations
9.
Bish, Mandy, et al.. (2020). Off-target pesticide movement: a review of our current understanding of drift due to inversions and secondary movement. Weed Technology. 35(3). 345–356. 49 indexed citations
10.
Bish, Mandy, et al.. (2020). Examination of commercially available bird feed for weed seed contaminants. Invasive Plant Science and Management. 13(1). 14–22. 9 indexed citations
11.
Roberts, Craig, et al.. (2019). Seasonal changes in forage nutritive value of common weeds encountered in Missouri pastures. Weed Technology. 34(2). 164–171. 5 indexed citations
12.
Bradley, Kevin W., et al.. (2019). Relationships between soil, forage, and grazing parameter effects on weed incidence in Missouri pastures. Weed Technology. 34(3). 408–415.
13.
Warmund, Michele R., et al.. (2019). Investigations of the sensitivity of ornamental, fruit, and nut plant species to driftable rates of 2,4-D and dicamba. Weed Technology. 34(3). 331–341. 17 indexed citations
14.
Norsworthy, Jason K., Daniel O. Stephenson, Michael Walsh, et al.. (2018). WET volume 32 issue 1 Cover and Front matter. Weed Technology. 32(1). f1–f3. 1 indexed citations
15.
Norsworthy, Jason K., Daniel O. Stephenson, Michael Walsh, et al.. (2017). WET volume 31 issue 4 Cover and Front matter. Weed Technology. 31(4). f1–f3. 1 indexed citations
16.
Norsworthy, Jason K., Daniel O. Stephenson, Michael Walsh, et al.. (2017). WET volume 31 issue 5 Cover and Front matter. Weed Technology. 31(5). f1–f3. 1 indexed citations
17.
Norsworthy, Jason K., Daniel O. Stephenson, Michael Walsh, et al.. (2017). WET volume 31 issue 6 Cover and Front matter. Weed Technology. 31(6). f1–f3. 1 indexed citations
18.
Bradley, Kevin W., et al.. (2012). Missouri Pest Management Guide (2013). MOspace Institutional Repository (University of Missouri). 1 indexed citations
19.
Bailey, William A., Kriton K. Hatzios, Kevin W. Bradley, & Henry P. Wilson. (2003). Absorption, translocation, and metabolism of sulfentrazone in potato and selected weed species. Weed Science. 51(1). 32–36. 11 indexed citations
20.
Bradley, Kevin W., Jingrui Wu, Kriton K. Hatzios, & E. S. Hagood. (2001). The mechanism of resistance to aryloxyphenoxypropionate and cyclohexanedione herbicides in a johnsongrass biotype. Weed Science. 49(4). 477–484. 43 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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