Dean Diepeveen
- Plant Science top 5%
- Nutrition and Dietetics top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Molecular Biology
- Analytical Chemistry top 5%
- Co-authors
- M. G. K. JonesFerdous SohelJinsong LengPrudence MannersWujun MaLeisa ArmstrongShahidul IslamJohn P. Newnham
- Topics
- Smart Agriculture and AI (19 papers)Wheat and Barley Genetics and Pathology (13 papers)Spectroscopy and Chemometric Analyses (11 papers)
- Journals
- PLoS ONEPEDIATRICSScientific Reports
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Dean Diepeveen
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 145
- Plant Science 662
- Nutrition and Dietetics 160
- Pediatrics, Perinatology and Child Health 130
- Molecular Biology 129
- Analytical Chemistry 126
Countries citing papers authored by Dean Diepeveen
This map shows the geographic impact of Dean Diepeveen'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 Dean Diepeveen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dean Diepeveen more than expected).
Fields of papers citing papers by Dean Diepeveen
This network shows the impact of papers produced by Dean Diepeveen. 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 Dean Diepeveen. The network helps show where Dean Diepeveen may publish in the future.
Co-authorship network of co-authors of Dean Diepeveen
This figure shows the co-authorship network connecting the top 25 collaborators of Dean Diepeveen. A scholar is included among the top collaborators of Dean Diepeveen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dean Diepeveen. Dean Diepeveen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 46 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 56 | |
| 12 | 50 | |
| 13 | 32 | |
| 14 | On the application of genetic probabilistic neural network and cellular neural networks in precision agriculture | 6 |
| 15 | A genetic Algorithm-Based feature selection | 120 |
| 16 | 7 | |
| 17 | Application of cellular neural networks and NaiveBayes classifier in agriculture | 4 |
| 18 | Application of a data mining framework for the identification of agricultural production areas in WA | 2 |
| 19 | Data mining can empower grower's crop decision making | 1 |
| 20 | The application of data mining techniques to characterize agricultural soil profiles | 24 |
About Dean Diepeveen
Dean Diepeveen is a scholar working on Plant Science, Analytical Chemistry and Agronomy and Crop Science, having authored 71 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smart Agriculture and AI (19 papers), Wheat and Barley Genetics and Pathology (13 papers) and Spectroscopy and Chemometric Analyses (11 papers). The work is most often cited by research in Plant Science (662 citations), Obstetrics and Gynecology (118 citations) and Analytical Chemistry (126 citations). Dean Diepeveen has collaborated with scholars based in Australia, China and United States. Frequent co-authors include M. G. K. Jones, Ferdous Sohel, Jinsong Leng, Prudence Manners, Wujun Ma, Leisa Armstrong, Shahidul Islam, John P. Newnham, Hamid Laga and Jingjuan Zhang. Their work appears in journals such as PLoS ONE, PEDIATRICS and Scientific Reports.
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.