Leisa Armstrong
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 5%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
Papers in
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- Smart Agriculture and AI 16
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- AI in cancer detection 10
- Co-authors
- Niketa Gandhi (15 shared papers)Amiya Kumar Tripathy (12 shared papers)Dean Diepeveen (13 shared papers)Jinsong Leng (5 shared papers)T. M. Shahriar Sazzad (7 shared papers)Craig Valli (1 shared paper)Kathryn Williams (1 shared paper)Dave Kendal (1 shared paper)
In The Last Decade
Leisa Armstrong
58 papers receiving 708 citations
Peers
Comparison fields: 5 of 102
- Analytical Chemistry 122
- Plant Science 442
- General Agricultural and Biological Sciences 90
- Biophysics 26
- Ecology 111
Countries citing papers authored by Leisa Armstrong
This map shows the geographic impact of Leisa Armstrong'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 Leisa Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leisa Armstrong more than expected).
Fields of papers citing papers by Leisa Armstrong
This network shows the impact of papers produced by Leisa Armstrong. 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 Leisa Armstrong. The network helps show where Leisa Armstrong may publish in the future.
Co-authors
The 21 scholars most cited alongside Leisa Armstrong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 139 | |
| 2 | 2016 | 97 | |
| 3 | 2016 | 43 | |
| 4 | A survey of image processing techniques for agriculture | 2014 | 43 |
| 5 | 2015 | 35 | |
| 6 | 2016 | 34 | |
| 7 | 2015 | 32 | |
| 8 | 2016 | 32 | |
| 9 | 2008 | 26 | |
| 10 | A Wrapper-Based Feature Selection for Analysis of Large Data Sets | 2010 | 26 |
| 11 | The application of data mining techniques to characterize agricultural soil profiles | 2007 | 25 |
| 12 | Decision Support System Data for Farmer Decision Making | 2014 | 24 |
| 13 | Applying data mining techniques to predict yield of rice in humid subtropical climatic zone of India | 2016 | 21 |
| 14 | 2016 | 20 | |
| 15 | 1990 | 18 | |
| 16 | 2015 | 14 | |
| 17 | 2016 | 10 | |
| 18 | 2019 | 9 | |
| 19 | An Artificial Neural Network for Predicting Crops Yield in Nepal | 2014 | 8 |
| 20 | Developing an information-driven ICT framework for Agriculture | 2008 | 8 |
About Leisa Armstrong
Leisa Armstrong is a scholar working on Plant Science, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and General Agricultural and Biological Sciences, having authored 65 papers that have together received 794 indexed citations. Recurring topics across this work include Smart Agriculture and AI (16 papers), AI in cancer detection (10 papers), Spectroscopy and Chemometric Analyses (7 papers), Cell Image Analysis Techniques (7 papers), Data Mining Algorithms and Applications (5 papers), Digital Imaging for Blood Diseases (4 papers), Agricultural Economics and Practices (4 papers) and Remote Sensing in Agriculture (4 papers). The work is most often cited by research in Analytical Chemistry (122 citations), Plant Science (442 citations), General Agricultural and Biological Sciences (90 citations), Biophysics (26 citations) and Ecology (111 citations). Leisa Armstrong has collaborated with scholars based in Australia, India and Thailand. Frequent co-authors include Niketa Gandhi, Amiya Kumar Tripathy, Dean Diepeveen, Jinsong Leng, T. M. Shahriar Sazzad, Craig Valli, Kathryn Williams, Dave Kendal, David M. Cook and Toshihiko SHIRAISHI. Their work appears in journals such as Australasian Journal of Paramedicine, Environmental Monitoring and Assessment, International Journal of Human Capital and Information Technology Professionals, Weed Science and Physiologia Plantarum.
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.