David M. Sutphin
- Artificial Intelligence top 5%
- Geophysics top 10%
- Environmental Engineering top 10%
- Geochemistry and Petrology top 10%
- Mechanical Engineering
- Co-authors
- Lawrence J. DrewEric GrunskyJames D. BlissLaurel G. WoodruffJohn H. DeYoungKlaus J. SchulzDan L. MosierNorman J Page
- Topics
- Geochemistry and Geologic Mapping (22 papers)Metal Extraction and Bioleaching (8 papers)Geological and Geochemical Analysis (7 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
David M. Sutphin
32 papers receiving 317 citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 246
- Geophysics 106
- Environmental Engineering 83
- Geochemistry and Petrology 76
- Mechanical Engineering 69
Countries citing papers authored by David M. Sutphin
This map shows the geographic impact of David M. Sutphin'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 M. Sutphin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Sutphin more than expected).
Fields of papers citing papers by David M. Sutphin
This network shows the impact of papers produced by David M. Sutphin. 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 M. Sutphin. The network helps show where David M. Sutphin may publish in the future.
Co-authorship network of co-authors of David M. Sutphin
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Sutphin. A scholar is included among the top collaborators of David M. Sutphin 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 David M. Sutphin. David M. Sutphin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 5 | |
| 3 | 35 | |
| 4 | 96 | |
| 5 | Pan-American quantitative mineral resource assessment of copper, molybdenum, gold, and silver in undiscovered porphyry copper deposits in the Andes mountains, South America | 0 |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | Three-Dimensional Compartmentalization of Subsurface Ground Water Flow in Eastern North American Mesozoic Basins | 1 |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 9 | |
| 20 | 12 |
About David M. Sutphin
David M. Sutphin is a scholar working on Geochemistry and Petrology, Artificial Intelligence and Geophysics, having authored 35 papers that have together received 376 indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (22 papers), Metal Extraction and Bioleaching (8 papers) and Geological and Geochemical Analysis (7 papers). The work is most often cited by research in Geochemistry and Petrology (76 citations), Geophysics (106 citations) and Artificial Intelligence (246 citations). David M. Sutphin has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Lawrence J. Drew, Eric Grunsky, James D. Bliss, Laurel G. Woodruff, John H. DeYoung, Klaus J. Schulz, Dan L. Mosier, Norman J Page, John H. Schuenemeyer and Arndt Werner. Their work appears in journals such as The Science of The Total Environment, Applied Geochemistry and USGS professional paper.
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.