Guy Coleman

431 total citations
14 papers, 283 citations indexed

About

Guy Coleman is a scholar working on Plant Science, Ecology and Agronomy and Crop Science. According to data from OpenAlex, Guy Coleman has authored 14 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 4 papers in Ecology and 3 papers in Agronomy and Crop Science. Recurrent topics in Guy Coleman's work include Smart Agriculture and AI (8 papers), Weed Control and Herbicide Applications (5 papers) and Agronomic Practices and Intercropping Systems (3 papers). Guy Coleman is often cited by papers focused on Smart Agriculture and AI (8 papers), Weed Control and Herbicide Applications (5 papers) and Agronomic Practices and Intercropping Systems (3 papers). Guy Coleman collaborates with scholars based in Australia, United States and Denmark. Guy Coleman's co-authors include Michael Walsh, Kun Hu, Zhiyong Wang, Asher Bender, William T. Salter, Arnold W. Schumann, Salah Sukkarieh, Muthukumar Bagavathiannan, Zhe Xu and David Johnson and has published in prestigious journals such as Scientific Reports, Plant Cell & Environment and Computers and Electronics in Agriculture.

In The Last Decade

Guy Coleman

14 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guy Coleman Australia	8	254	72	32	26	22	14	283
Parul Sharma India	7	293 1.2×	42 0.6×	81 2.5×	30 1.2×	17 0.8×	23	401
Andrew McKenzie‐Gopsill Canada	11	286 1.1×	47 0.7×	43 1.3×	21 0.8×	80 3.6×	29	351
Mark C. Siemens United States	10	266 1.0×	42 0.6×	38 1.2×	30 1.2×	75 3.4×	27	420
Matthew Cutulle United States	12	292 1.1×	39 0.5×	14 0.4×	52 2.0×	27 1.2×	44	362
Markus Sökefeld Germany	13	375 1.5×	75 1.0×	37 1.2×	22 0.8×	72 3.3×	23	419
Michael Ostlie United States	11	293 1.2×	63 0.9×	15 0.5×	80 3.1×	22 1.0×	22	356
Jesper Cairo Westergaard Denmark	8	269 1.1×	59 0.8×	69 2.2×	49 1.9×	20 0.9×	13	329
Teng Liu China	12	165 0.6×	61 0.8×	38 1.2×	33 1.3×	8 0.4×	32	335
R. B. E. Kimber Australia	12	466 1.8×	48 0.7×	19 0.6×	32 1.2×	27 1.2×	19	534
Taewon Moon South Korea	12	247 1.0×	46 0.6×	24 0.8×	20 0.8×	6 0.3×	25	348

Countries citing papers authored by Guy Coleman

Since Specialization

Citations

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

Fields of papers citing papers by Guy Coleman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Coleman. 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 Guy Coleman. The network helps show where Guy Coleman may publish in the future.

Co-authorship network of co-authors of Guy Coleman

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

All Works

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14 of 14 papers shown

Coleman, Guy, et al.. (2025). FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping. Plant Cell & Environment. 1 indexed citations

Coleman, Guy, et al.. (2024). Multi-growth stage plant recognition: A case study of Palmer amaranth (Amaranthus palmeri) in cotton (Gossypium hirsutum). Computers and Electronics in Agriculture. 217. 108622–108622. 7 indexed citations

Hu, Kun, Zhiyong Wang, Guy Coleman, et al.. (2023). Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review. Precision Agriculture. 25(1). 1–29. 30 indexed citations

Coleman, Guy & William T. Salter. (2023). More eyes on the prize: open-source data, software and hardware for advancing plant science through collaboration. AoB Plants. 15(2). plad010–plad010. 3 indexed citations

Coleman, Guy, Asher Bender, Michael Walsh, & Paul Neve. (2023). Image‐based weed recognition and control: Can it select for crop mimicry?. Weed Research. 63(2). 77–82. 4 indexed citations

Coleman, Guy, Angus Macintyre, Michael Walsh, & William T. Salter. (2023). Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h−1. Computers and Electronics in Agriculture. 215. 108419–108419. 3 indexed citations

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

Coleman, Guy, William T. Salter, & Michael Walsh. (2022). OpenWeedLocator (OWL): an open-source, low-cost device for fallow weed detection. Scientific Reports. 12(1). 170–170. 15 indexed citations

Coleman, Guy, John Broster, Christopher Preston, et al.. (2021). Increasing the value and efficiency of herbicide resistance surveys. Pest Management Science. 77(9). 3881–3889. 14 indexed citations

10.

Coleman, Guy, William T. Salter, & Michael Walsh. (2021). OpenWeedLocator (OWL): An open-source, low-cost device for fallow weed detection.. 1 indexed citations

11.

Coleman, Guy, et al.. (2021). Low Energy Laser Treatments Control Annual Ryegrass (Lolium rigidum). Frontiers in Agronomy. 2. 23 indexed citations

12.

Hu, Kun, et al.. (2020). Graph weeds net: A graph-based deep learning method for weed recognition. Computers and Electronics in Agriculture. 174. 105520–105520. 91 indexed citations

13.

Walsh, Michael, et al.. (2020). Tillage based, site-specific weed control for conservation cropping systems. Weed Technology. 34(5). 704–710. 9 indexed citations

14.

Coleman, Guy, Zhe Xu, David Johnson, et al.. (2019). Using energy requirements to compare the suitability of alternative methods for broadcast and site-specific weed control. Weed Technology. 33(4). 633–650. 47 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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