Mark A. Whitty
Impact in
- Plant Science top 5%
- Smart Agriculture and AI
- Horticultural and Viticultural Research
- Leaf Properties and Growth Measurement
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Papers in
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- Horticultural and Viticultural Research 15
- Smart Agriculture and AI 10
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- Robotic Path Planning Algorithms 6
- Co-authors
- Scarlett Liu (14 shared papers)Paul R. Petrie (10 shared papers)Xu Wang (3 shared papers)José Guivant (7 shared papers)Jayantha Katupitiya (5 shared papers)M.A. Skewes (2 shared papers)Dylan Campbell (3 shared papers)Hugo J. de Boer (1 shared paper)
In The Last Decade
Mark A. Whitty
42 papers receiving 904 citations
Peers
Comparison fields: 5 of 104
- Plant Science 525
- Analytical Chemistry 106
- Tourism, Leisure and Hospitality Management 15
- Ecology 230
- Computer Vision and Pattern Recognition 165
Countries citing papers authored by Mark A. Whitty
This map shows the geographic impact of Mark A. Whitty'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 Mark A. Whitty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Whitty more than expected).
Fields of papers citing papers by Mark A. Whitty
This network shows the impact of papers produced by Mark A. Whitty. 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 Mark A. Whitty. The network helps show where Mark A. Whitty may publish in the future.
Co-authors
The 18 scholars most cited alongside Mark A. Whitty, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 181 | |
| 2 | 2015 | 83 | |
| 3 | 2017 | 66 | |
| 4 | 2021 | 57 | |
| 5 | 2019 | 52 | |
| 6 | 2017 | 49 | |
| 7 | 2020 | 42 | |
| 8 | 2019 | 41 | |
| 9 | 2018 | 39 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 32 | |
| 12 | 2021 | 26 | |
| 13 | Towards Automated Yield Estimation in Viticulture | 2013 | 25 |
| 14 | 2020 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2022 | 17 | |
| 17 | 2016 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2015 | 10 | |
| 20 | 2012 | 10 |
About Mark A. Whitty
Mark A. Whitty is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Ecology, Environmental Engineering and Aerospace Engineering, having authored 43 papers that have together received 931 indexed citations. Recurring topics across this work include Horticultural and Viticultural Research (15 papers), Remote Sensing in Agriculture (11 papers), Smart Agriculture and AI (10 papers), Robotics and Sensor-Based Localization (9 papers), Robotic Path Planning Algorithms (6 papers), Remote Sensing and LiDAR Applications (6 papers), Plant Pathogens and Fungal Diseases (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Plant Science (525 citations), Analytical Chemistry (106 citations), Tourism, Leisure and Hospitality Management (15 citations), Ecology (230 citations) and Computer Vision and Pattern Recognition (165 citations). Mark A. Whitty has collaborated with scholars based in Australia, China and Japan. Frequent co-authors include Scarlett Liu, Paul R. Petrie, Xu Wang, José Guivant, Jayantha Katupitiya, M.A. Skewes, Dylan Campbell, Hugo J. de Boer, Hongkun Wu and Xuesong Li. Their work appears in journals such as Computers and Electronics in Agriculture, Australian Journal of Grape and Wine Research, Biosystems Engineering, Plant Methods and Animal Production Science.
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.