Guy Coleman
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Weed Control and Herbicide Applications
- Date Palm Research Studies
- Plant Disease Management Techniques
- Nematode management and characterization studies
-
- Spectroscopy and Chemometric Analyses
Papers in
-
- Smart Agriculture and AI 8
- Weed Control and Herbicide Applications 5
- Date Palm Research Studies 3
- Plant Disease Management Techniques 2
- Plant Virus Research Studies 2
- Nematode management and characterization studies 2
- Ecology 4
- Remote Sensing in Agriculture 3
- Co-authors
- Michael Walsh (12 shared papers)Kun Hu (3 shared papers)Zhiyong Wang (3 shared papers)Asher Bender (3 shared papers)William T. Salter (5 shared papers)Arnold W. Schumann (2 shared papers)David Johnson (1 shared paper)Zhe Xu (1 shared paper)
- Journals
- Weed Technology (4 papers)Computers and Electronics in Agriculture (3 papers)Precision Agriculture (2 papers)Weed Research (1 paper)Frontiers in Agronomy (1 paper)
- Partner nations
- AustraliaUnited StatesDenmark
In The Last Decade
Guy Coleman
14 papers receiving 293 citations
Peers
Comparison fields: 5 of 48
- Plant Science 262
- Analytical Chemistry 32
- Ecology 72
- Agronomy and Crop Science 23
- Ecological Modeling 6
Countries citing papers authored by Guy Coleman
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
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-authors
The 25 scholars most cited alongside Guy Coleman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 93 | |
| 2 | 2019 | 48 | |
| 3 | 2022 | 36 | |
| 4 | 2023 | 31 | |
| 5 | 2021 | 25 | |
| 6 | 2022 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2025 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2026 | 0 |
About Guy Coleman
Guy Coleman is a scholar working on Plant Science, Ecology, Agronomy and Crop Science, Molecular Biology and Soil Science, having authored 16 papers that have together received 298 indexed citations. Recurring topics across this work include Smart Agriculture and AI (8 papers), Weed Control and Herbicide Applications (5 papers), Date Palm Research Studies (3 papers), Remote Sensing in Agriculture (3 papers), Agronomic Practices and Intercropping Systems (3 papers), Plant Disease Management Techniques (2 papers), Plant Virus Research Studies (2 papers) and Nematode management and characterization studies (2 papers). The work is most often cited by research in Plant Science (262 citations), Analytical Chemistry (32 citations), Ecology (72 citations), Agronomy and Crop Science (23 citations) and Ecological Modeling (6 citations). Guy Coleman has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Michael Walsh, Kun Hu, Zhiyong Wang, Asher Bender, William T. Salter, Arnold W. Schumann, David Johnson, Zhe Xu, Muthukumar Bagavathiannan and Graham Brooker. Their work appears in journals such as Weed Technology, Computers and Electronics in Agriculture, Precision Agriculture, Weed Research and Frontiers in Agronomy.
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.