Alex Olsen
Impact in
- Plant Science top 5%
- Smart Agriculture and AI
- Date Palm Research Studies
- Plant Disease Management Techniques
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Smart Agriculture and AI 5
- Date Palm Research Studies 1
- Plant Parasitism and Resistance 1
- Ecology 3
- Remote Sensing in Agriculture 3
- Co-authors
- Mostafa Rahimi Azghadi (9 shared papers)Brendan Calvert (5 shared papers)Peter Ridd (2 shared papers)Owen P. Kenny (2 shared papers)Bronson Philippa (6 shared papers)James Whinney (2 shared papers)Jake Wood (5 shared papers)Dmitry A. Konovalov (1 shared paper)
- Journals
- Computers and Electronics in Agriculture (3 papers)IEEE Access (1 paper)European Journal of Agronomy (1 paper)Expert Systems with Applications (1 paper)Plants (1 paper)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Alex Olsen
10 papers receiving 448 citations
Alex Olsen's Hit Papers
Peers
Comparison fields: 5 of 57
- Plant Science 372
- Analytical Chemistry 79
- Ecology 113
- Ecological Modeling 15
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Alex Olsen
This map shows the geographic impact of Alex Olsen'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 Alex Olsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Olsen more than expected).
Fields of papers citing papers by Alex Olsen
This network shows the impact of papers produced by Alex Olsen. 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 Alex Olsen. The network helps show where Alex Olsen may publish in the future.
Co-authors
The 13 scholars most cited alongside Alex Olsen, 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 | DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning Hit paper breakdown → | 2019 | 340 |
| 2 | 2019 | 61 | |
| 3 | 2015 | 27 | |
| 4 | 2021 | 12 | |
| 5 | 2025 | 10 | |
| 6 | 2025 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2025 | 2 | |
| 9 | 2026 | 1 | |
| 10 | Autoweed: detecting Harrisia cactus in the Goondiwindi region for selective spot-spraying | 2019 | 1 |
About Alex Olsen
Alex Olsen is a scholar working on Plant Science, Ecology, Insect Science, Molecular Biology and Ecological Modeling, having authored 10 papers that have together received 462 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Remote Sensing in Agriculture (3 papers), Biological Control of Invasive Species (3 papers), Species Distribution and Climate Change (2 papers), Date Palm Research Studies (1 paper), Energy Efficient Wireless Sensor Networks (1 paper), Advanced Vision and Imaging (1 paper) and Plant Parasitism and Resistance (1 paper). The work is most often cited by research in Plant Science (372 citations), Analytical Chemistry (79 citations), Ecology (113 citations), Ecological Modeling (15 citations) and Computer Vision and Pattern Recognition (47 citations). Alex Olsen has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Mostafa Rahimi Azghadi, Brendan Calvert, Peter Ridd, Owen P. Kenny, Bronson Philippa, James Whinney, Jake Wood, Dmitry A. Konovalov, Ronald D. White and Wesley Banks. Their work appears in journals such as Computers and Electronics in Agriculture, IEEE Access, European Journal of Agronomy, Expert Systems with Applications and Plants.
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.