Justin L. Payne
- Geophysics top 0.5%
- Geological and Geochemical Analysis 69
- earthquake and tectonic studies 50
- High-pressure geophysics and materials 27
- Paleontology top 2%
- Paleontology and Stratigraphy of Fossils 11
- Geochemistry and Petrology top 2%
- Geology top 2%
- Geological and Geophysical Studies 9
- Artificial Intelligence top 1%
- Geochemistry and Geologic Mapping 36
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- Salmonella and Campylobacter epidemiology 7
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- Bacteriophages and microbial interactions 7
Justin L. Payne
92 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 84
- Geophysics 2.4k
- Paleontology 447
- Geochemistry and Petrology 260
- Geology 247
- Artificial Intelligence 996
Countries citing papers authored by Justin L. Payne
This map shows the geographic impact of Justin L. Payne'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 Justin L. Payne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin L. Payne more than expected).
Fields of papers citing papers by Justin L. Payne
This network shows the impact of papers produced by Justin L. Payne. 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 Justin L. Payne. The network helps show where Justin L. Payne may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Justin L. Payne, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 55 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 32 | |
| 13 | 2019 | 24 | |
| 14 | Large discrepancies between garnet Lu-Hf and Sm-Nd isochron ages: the problem of inherited Hf | 2017 | 2 |
| 15 | Draft Genome Sequences of 40 Salmonella enterica Serovar Typhimurium Strains Isolated from Humans and Food in Brazil | 2016 | 1 |
| 16 | 2016 | 44 | |
| 17 | 2015 | 34 | |
| 18 | 2014 | 86 | |
| 19 | The accuracy and precision of in situ Re-Os isotopic measurements by laser ablation MC-ICPMS | 2009 | 1 |
| 20 | 2006 | 122 |
About Justin L. Payne
Justin L. Payne is a scholar working on Geophysics, Geology and Paleontology, having authored 94 papers that have together received 3.0k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (69 papers), earthquake and tectonic studies (50 papers), Geochemistry and Geologic Mapping (36 papers), High-pressure geophysics and materials (27 papers), Paleontology and Stratigraphy of Fossils (11 papers), Geological and Geophysical Studies (9 papers), Salmonella and Campylobacter epidemiology (7 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Geophysics (2.4k citations), Paleontology (447 citations) and Geochemistry and Petrology (260 citations). Justin L. Payne has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Martin Hand, Karin M. Barovich, Alan S. Collins, John Foden, Anthony Reid, Benjamin P. Wade, Chris Clark, M. Santosh, Laura J. Morrissey and Errol Strain. Their work appears in journals such as Precambrian Research, Australian Journal of Earth Sciences, Geoscience Frontiers, Lithos and Geology.
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.