David Paterson
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- Geochemistry and Petrology top 5%
- Geochemistry and Elemental Analysis
Papers in
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- Geological and Geochemical Analysis 8
-
- Clay minerals and soil interactions 4
- Co-authors
- Daryl L. Howard (7 shared papers)Enzo Lombi (4 shared papers)Joël Brugger (6 shared papers)Barbara Etschmann (7 shared papers)Julia Choate (1 shared paper)Peter M. Kopittke (6 shared papers)C.G. Ryan (6 shared papers)Andrew G. Tomkins (2 shared papers)
- Journals
- Chemical Geology (4 papers)American Mineralogist (2 papers)Environmental Science & Technology (2 papers)Geochimica et Cosmochimica Acta (2 papers)PLANT PHYSIOLOGY (2 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
David Paterson
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 118
- Geophysics 397
- Geochemistry and Petrology 172
- Artificial Intelligence 317
- Pollution 97
- Environmental Chemistry 83
Countries citing papers authored by David Paterson
This map shows the geographic impact of David Paterson'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 David Paterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Paterson more than expected).
Fields of papers citing papers by David Paterson
This network shows the impact of papers produced by David Paterson. 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 David Paterson. The network helps show where David Paterson may publish in the future.
Co-authors
The 25 scholars most cited alongside David Paterson, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 188 | |
| 2 | 2012 | 131 | |
| 3 | 2018 | 117 | |
| 4 | 2015 | 80 | |
| 5 | 2016 | 75 | |
| 6 | 1999 | 56 | |
| 7 | 2018 | 55 | |
| 8 | 2010 | 55 | |
| 9 | 2017 | 54 | |
| 10 | 2014 | 50 | |
| 11 | 2023 | 35 | |
| 12 | 2022 | 34 | |
| 13 | 2015 | 29 | |
| 14 | 2016 | 27 | |
| 15 | 2022 | 21 | |
| 16 | 2023 | 21 | |
| 17 | 2017 | 20 | |
| 18 | 2018 | 18 | |
| 19 | 2018 | 15 | |
| 20 | 2021 | 15 |
About David Paterson
David Paterson is a scholar working on Geophysics, Biomaterials, Plant Science, Biomedical Engineering and Materials Chemistry, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (8 papers), Radioactive element chemistry and processing (6 papers), Geochemistry and Geologic Mapping (5 papers), Clay minerals and soil interactions (4 papers), Plant Micronutrient Interactions and Effects (4 papers), Geochemistry and Elemental Analysis (4 papers), Metal Extraction and Bioleaching (3 papers) and Heavy Metals in Plants (3 papers). The work is most often cited by research in Geophysics (397 citations), Geochemistry and Petrology (172 citations), Artificial Intelligence (317 citations), Pollution (97 citations) and Environmental Chemistry (83 citations). David Paterson has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Daryl L. Howard, Enzo Lombi, Joël Brugger, Barbara Etschmann, Julia Choate, Peter M. Kopittke, C.G. Ryan, Andrew G. Tomkins, Martin D. de Jonge and Angela Halfpenny. Their work appears in journals such as Chemical Geology, American Mineralogist, Environmental Science & Technology, Geochimica et Cosmochimica Acta and PLANT PHYSIOLOGY.
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.