Sean P. Evans

1.3k total citations
9 papers, 1.0k citations indexed

About

Sean P. Evans is a scholar working on Plant Science, Agronomy and Crop Science and Pollution. According to data from OpenAlex, Sean P. Evans has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Agronomy and Crop Science and 2 papers in Pollution. Recurrent topics in Sean P. Evans's work include Weed Control and Herbicide Applications (8 papers), Agronomic Practices and Intercropping Systems (4 papers) and Soybean genetics and cultivation (3 papers). Sean P. Evans is often cited by papers focused on Weed Control and Herbicide Applications (8 papers), Agronomic Practices and Intercropping Systems (4 papers) and Soybean genetics and cultivation (3 papers). Sean P. Evans collaborates with scholars based in United States and Canada. Sean P. Evans's co-authors include Stevan Z. Knežević, John L. Lindquist, Erin E. Blankenship, Rene C. Van Acker, Charles A. Shapiro, Dwain M. Rule, Matthew Carroll, Alan Willse, Thomas L. Clark and Lance J. Meinke and has published in prestigious journals such as Pest Management Science, Weed Science and Weed Technology.

In The Last Decade

Sean P. Evans

9 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean P. Evans United States 8 873 490 210 126 109 9 1.0k
Hüsrev Mennan Türkiye 16 816 0.9× 284 0.6× 91 0.4× 69 0.5× 97 0.9× 77 911
David W. Monks United States 17 1.0k 1.2× 319 0.7× 137 0.7× 51 0.4× 188 1.7× 92 1.1k
Benjamin G. Mullinix United States 20 987 1.1× 267 0.5× 112 0.5× 234 1.9× 58 0.5× 97 1.2k
Randall N. Brandt Canada 11 545 0.6× 291 0.6× 87 0.4× 50 0.4× 73 0.7× 13 608
Steve M. Brown United States 9 696 0.8× 197 0.4× 155 0.7× 37 0.3× 151 1.4× 12 727
Carlene A. Chase United States 15 675 0.8× 184 0.4× 72 0.3× 82 0.7× 51 0.5× 60 793
Katherine M. Jennings United States 16 988 1.1× 238 0.5× 163 0.8× 39 0.3× 277 2.5× 131 1.1k
Don S. Murray United States 20 870 1.0× 303 0.6× 124 0.6× 110 0.9× 194 1.8× 71 984
Marcelo Nicolai Brazil 17 881 1.0× 161 0.3× 198 0.9× 42 0.3× 391 3.6× 65 930
Marilyn McClelland United States 14 701 0.8× 187 0.4× 111 0.5× 40 0.3× 243 2.2× 31 749

Countries citing papers authored by Sean P. Evans

Since Specialization
Citations

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

Fields of papers citing papers by Sean P. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean P. Evans. 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 Sean P. Evans. The network helps show where Sean P. Evans may publish in the future.

Co-authorship network of co-authors of Sean P. Evans

This figure shows the co-authorship network connecting the top 25 collaborators of Sean P. Evans. A scholar is included among the top collaborators of Sean P. Evans 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 Sean P. Evans. Sean P. Evans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Head, Graham, Matthew Carroll, Sean P. Evans, et al.. (2017). Evaluation of SmartStax and SmartStax PRO maize against western corn rootworm and northern corn rootworm: efficacy and resistance management. Pest Management Science. 73(9). 1883–1899. 183 indexed citations
2.
Lindquist, John L., Sean P. Evans, Charles A. Shapiro, & Stevan Z. Knežević. (2010). Effect of Nitrogen Addition and Weed Interference on Soil Nitrogen and Corn Nitrogen Nutrition. Weed Technology. 24(1). 50–58. 26 indexed citations
3.
Evans, Sean P., Stevan Z. Knežević, John L. Lindquist, & Charles A. Shapiro. (2003). Influence of nitrogen and duration of weed interference on corn growth and development. Weed Science. 51(4). 546–556. 62 indexed citations
4.
Knežević, Stevan Z., et al.. (2003). Row Spacing Influences the Critical Timing for Weed Removal in Soybean (Glycine max)1. Weed Technology. 17(4). 666–673. 145 indexed citations
5.
Knežević, Stevan Z., et al.. (2003). Yield Penalty Due to Delayed Weed Control in Corn and Soybean. Crop Management. 2(1). 1–7. 19 indexed citations
6.
Evans, Sean P., Stevan Z. Knežević, John L. Lindquist, Charles A. Shapiro, & Erin E. Blankenship. (2003). Nitrogen application influences the critical period for weed control in corn. Weed Science. 51(3). 408–417. 205 indexed citations
7.
Blankenship, Erin E., Walter W. Stroup, Sean P. Evans, & Stevan Z. Knežević. (2003). Statistical inference for calibration points in nonlinear mixed effects models. Journal of Agricultural Biological and Environmental Statistics. 8(4). 455–468. 9 indexed citations
8.
Knežević, Stevan Z., Sean P. Evans, Erin E. Blankenship, Rene C. Van Acker, & John L. Lindquist. (2002). Critical period for weed control: the concept and data analysis. Weed Science. 50(6). 773–786. 371 indexed citations
9.
Blankenship, Erin E., Sean P. Evans, Walter W. Stroup, & Stevan Z. Knežević. (2001). USING PROC NLMIXED TO ANALYZE A TIME OF WEED REMOVAL STUDY. Conference on Applied Statistics in Agriculture. 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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