Daniel Smith
Impact in
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- earthquake and tectonic studies
- Earthquake Detection and Analysis
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- Smart Agriculture and AI
- Genetics and Plant Breeding
- Leaf Properties and Growth Measurement
Papers in
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- Plant nutrient uptake and metabolism 2
- Soybean genetics and cultivation 2
- Smart Agriculture and AI 2
- Agricultural pest management studies 1
- Ecology 2
- Remote Sensing in Agriculture 2
- Co-authors
- Scott Chapman (6 shared papers)Andries Potgieter (5 shared papers)David R. Montgomery (1 shared paper)Harvey Greenberg (1 shared paper)J.S.G. McCulloch (1 shared paper)Wei Guo (2 shared papers)Étienne David (2 shared papers)Alexander Thom (1 shared paper)
- Journals
- Theoretical and Applied Genetics (1 paper)Nutrient Cycling in Agroecosystems (1 paper)Earth and Planetary Science Letters (1 paper)Scientific Data (1 paper)Journal of Experimental Botany (1 paper)
- Partner nations
- AustraliaJapanUnited States
In The Last Decade
Daniel Smith
11 papers receiving 173 citations
Peers
Comparison fields: 5 of 38
- Geophysics 41
- Plant Science 91
- Ecology 41
- Agronomy and Crop Science 12
- Soil Science 10
Countries citing papers authored by Daniel Smith
This map shows the geographic impact of Daniel Smith'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 Daniel Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Smith more than expected).
Fields of papers citing papers by Daniel Smith
This network shows the impact of papers produced by Daniel Smith. 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 Daniel Smith. The network helps show where Daniel Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Smith, 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 | 2021 | 51 | |
| 2 | 2003 | 46 | |
| 3 | 2023 | 24 | |
| 4 | 1977 | 18 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2017 | 1 |
About Daniel Smith
Daniel Smith is a scholar working on Plant Science, Ecology, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Agronomy and Crop Science, having authored 11 papers that have together received 180 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (2 papers), Plant nutrient uptake and metabolism (2 papers), Soybean genetics and cultivation (2 papers), Smart Agriculture and AI (2 papers), Crop Yield and Soil Fertility (1 paper), Agricultural pest management studies (1 paper), Digital Imaging for Blood Diseases (1 paper) and Soil Carbon and Nitrogen Dynamics (1 paper). The work is most often cited by research in Geophysics (41 citations), Plant Science (91 citations), Ecology (41 citations), Agronomy and Crop Science (12 citations) and Soil Science (10 citations). Daniel Smith has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Scott Chapman, Andries Potgieter, David R. Montgomery, Harvey Greenberg, J.S.G. McCulloch, Wei Guo, Étienne David, Alexander Thom, Frédéric Baret and Benoît de Solan. Their work appears in journals such as Theoretical and Applied Genetics, Nutrient Cycling in Agroecosystems, Earth and Planetary Science Letters, Scientific Data and Journal of Experimental Botany.
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.