Nathan S. Boyd

2.5k total citations
141 papers, 1.9k citations indexed

About

Nathan S. Boyd is a scholar working on Plant Science, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Nathan S. Boyd has authored 141 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Plant Science, 23 papers in Agronomy and Crop Science and 17 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Nathan S. Boyd's work include Weed Control and Herbicide Applications (79 papers), Plant Disease Management Techniques (52 papers) and Berry genetics and cultivation research (33 papers). Nathan S. Boyd is often cited by papers focused on Weed Control and Herbicide Applications (79 papers), Plant Disease Management Techniques (52 papers) and Berry genetics and cultivation research (33 papers). Nathan S. Boyd collaborates with scholars based in United States, Canada and China. Nathan S. Boyd's co-authors include Shaun M. Sharpe, Jialin Yu, Arnold W. Schumann, Eric B. Brennan, Rene C. Van Acker, Scott N. White, Richard Smith, Peter J. Dittmar, Rene Van Acker and Zhe Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Nathan S. Boyd

130 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan S. Boyd United States 25 1.6k 365 231 191 172 141 1.9k
Steven A. Fennimore United States 28 2.1k 1.3× 198 0.5× 149 0.6× 158 0.8× 122 0.7× 102 2.3k
Christian Andreasen Denmark 23 1.6k 1.0× 371 1.0× 202 0.9× 267 1.4× 358 2.1× 113 2.1k
F. Workneh United States 22 1.4k 0.9× 191 0.5× 356 1.5× 176 0.9× 114 0.7× 73 1.7k
L.A.P. Lotz Netherlands 27 2.0k 1.2× 507 1.4× 148 0.6× 159 0.8× 217 1.3× 97 2.4k
José Luis González Andújar Spain 28 1.7k 1.1× 620 1.7× 204 0.9× 281 1.5× 450 2.6× 160 2.3k
D. Scott NeSmith United States 22 1.6k 1.0× 417 1.1× 381 1.6× 139 0.7× 188 1.1× 119 1.9k
Amir M. H. Ibrahim United States 27 2.3k 1.4× 527 1.4× 213 0.9× 152 0.8× 151 0.9× 126 2.7k
R. Sanderson United Kingdom 21 627 0.4× 469 1.3× 195 0.8× 171 0.9× 165 1.0× 70 1.5k
Simone Bregaglio Italy 22 1.1k 0.7× 162 0.4× 200 0.9× 289 1.5× 459 2.7× 86 1.7k
Shawn P. Conley United States 31 2.6k 1.6× 1.0k 2.8× 479 2.1× 255 1.3× 409 2.4× 157 3.2k

Countries citing papers authored by Nathan S. Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Nathan S. Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan S. Boyd. 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 Nathan S. Boyd. The network helps show where Nathan S. Boyd may publish in the future.

Co-authorship network of co-authors of Nathan S. Boyd

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan S. Boyd. A scholar is included among the top collaborators of Nathan S. Boyd 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 Nathan S. Boyd. Nathan S. Boyd 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.
Furlanetto, Renato Herrig, et al.. (2025). Integration of targeted herbicide application technologies into an integrated weed management program for tomato plasticulture production. Smart Agricultural Technology. 11. 100981–100981. 1 indexed citations
2.
Furlanetto, Renato Herrig, et al.. (2025). Multi-crop plant counting and geolocation using a YOLO-Powered GUI System. Smart Agricultural Technology. 11. 100994–100994.
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Zhao, Chang, et al.. (2024). Evaluation of segmentation and semi‐supervised learning for spotted spurge recognition in bermudagrass turf. International Turfgrass Society research journal. 15(1). 66–79.
6.
Dittmar, Peter J., Nicholas S. Dufault, Johan Desaeger, et al.. (2023). Chapter 4. Integrated Pest Management. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Desaeger, Johan, et al.. (2023). Chapter 13. Pepper Production. SHILAP Revista de lepidopterología.
8.
Coleman, Guy, Asher Bender, Kun Hu, et al.. (2022). Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems. Weed Technology. 36(6). 741–757. 35 indexed citations
9.
Boyd, Nathan S., Marcelo L. Moretti, Lynn M. Sosnoskie, et al.. (2022). Occurrence and management of herbicide resistance in annual vegetable production systems in North America. Weed Science. 70(5). 515–528. 12 indexed citations
10.
Sharpe, Shaun M., Nathan S. Boyd, & Peter J. Dittmar. (2021). Fallow management input strategies for weed management in Florida cabbage production. Pest Management Science. 77(10). 4340–4349. 1 indexed citations
11.
Sharpe, Shaun M., Arnold W. Schumann, & Nathan S. Boyd. (2020). Goosegrass Detection in Strawberry and Tomato Using a Convolutional Neural Network. Scientific Reports. 10(1). 9548–9548. 49 indexed citations
12.
Sharpe, Shaun M. & Nathan S. Boyd. (2019). Utility of glufosinate in postemergence row middle weed control in Florida plasticulture production. Weed Technology. 33(3). 495–502. 7 indexed citations
13.
Sharpe, Shaun M. & Nathan S. Boyd. (2019). Doveweed (Murdannia nudiflora) response to metsulfuron-methyl, trifloxysulfuron-sodium, and bentazon combinations. Weed Technology. 34(2). 260–265. 1 indexed citations
14.
Sharpe, Shaun M., et al.. (2019). Biology and Management of Pusley (Richardia L.) in Tomato, Pepper, Cucurbit, and Strawberry Production. SHILAP Revista de lepidopterología. 2019(3). 1 indexed citations
15.
Sharpe, Shaun M., Arnold W. Schumann, Jialin Yu, & Nathan S. Boyd. (2019). Vegetation detection and discrimination within vegetable plasticulture row-middles using a convolutional neural network. Precision Agriculture. 21(2). 264–277. 40 indexed citations
16.
Sharpe, Shaun M. & Nathan S. Boyd. (2019). Evaluation of sulfonylurea chemistries for strawberry crop safety and Carolina geranium (Geranium carolinianum) efficacy. Weed Technology. 34(2). 214–219. 1 indexed citations
17.
18.
Yu, Jialin, Shaun M. Sharpe, Arnold W. Schumann, & Nathan S. Boyd. (2019). Deep learning for image-based weed detection in turfgrass. European Journal of Agronomy. 104. 78–84. 170 indexed citations
19.
Dittmar, Peter J., Nicholas S. Dufault, Joseph W. Noling, et al.. (2018). 2018 Vegetable Production Handbook Chapter 4: Integrated Pest Management. SHILAP Revista de lepidopterología. 2018. 11–11.
20.
Boyd, Nathan S., et al.. (2009). Effect of Seeding Rate and Planting Arrangement on Rye Cover Crop and Weed Growth. Agronomy Journal. 101(1). 47–51. 58 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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2026