Patrick J. Sack
- Geochemistry and Petrology top 1%
- Geochemistry and Elemental Analysis 4
- Geophysics top 2%
- Geological and Geochemical Analysis 12
- High-pressure geophysics and materials 2
- Paleontology top 5%
- Paleontology and Stratigraphy of Fossils 3
- Artificial Intelligence top 2%
- Geochemistry and Geologic Mapping 12
- Environmental Chemistry top 10%
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- Hydrocarbon exploration and reservoir analysis 5
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- Metal Extraction and Bioleaching 2
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- Radioactive element chemistry and processing 2
Patrick J. Sack
13 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Geochemistry and Petrology 542
- Geophysics 788
- Paleontology 314
- Artificial Intelligence 627
- Environmental Chemistry 88
Countries citing papers authored by Patrick J. Sack
This map shows the geographic impact of Patrick J. Sack'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 Patrick J. Sack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick J. Sack more than expected).
Fields of papers citing papers by Patrick J. Sack
This network shows the impact of papers produced by Patrick J. Sack. 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 Patrick J. Sack. The network helps show where Patrick J. Sack may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Patrick J. Sack, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 12 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 5 | |
| 7 | 2019 | 29 | |
| 8 | 2018 | 18 | |
| 9 | 2017 | 40 | |
| 10 | Volcanogenic massive sulphide and orogenic gold deposits of northern southeast Alaska | 2016 | 1 |
| 11 | Trace Element Content of Sedimentary Pyrite in Black Shalesbreakdown → | 2015 | 378 |
| 12 | 2015 | 90 | |
| 13 | 2015 | 71 | |
| 14 | Trace element content of sedimentary pyrite as a new proxy for deep-time ocean–atmosphere evolutionbreakdown → | 2014 | 427 |
| 15 | Lithofacies and lithostratigraphic correlation potential of the Rapitan iron formation, Snake River area (NTS 106F), Yukon | 2012 | 3 |
| 16 | 2011 | 49 |
About Patrick J. Sack
Patrick J. Sack is a scholar working on Geophysics, Geochemistry and Petrology, Paleontology, Artificial Intelligence and Mechanics of Materials, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (12 papers), Geological and Geochemical Analysis (12 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Geochemistry and Elemental Analysis (4 papers), Paleontology and Stratigraphy of Fossils (3 papers), Metal Extraction and Bioleaching (2 papers), Radioactive element chemistry and processing (2 papers) and High-pressure geophysics and materials (2 papers). The work is most often cited by research in Geochemistry and Petrology (542 citations), Geophysics (788 citations), Paleontology (314 citations), Artificial Intelligence (627 citations) and Environmental Chemistry (88 citations). Patrick J. Sack has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Ross R. Large, Daniel D. Gregory, E Lounejeva, В. В. Масленников, L Danyushevsky, JA Halpin, Timothy W. Lyons, Stuart W. Bull, John A. Long and Clive R. Calver. Their work appears in journals such as Mineralium Deposita, Economic Geology, Earth and Planetary Science Letters, Gondwana Research and Tectonics.
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.