J. A. Grant
- Geophysics top 1%
- Artificial Intelligence top 1%
- Geochemistry and Petrology top 1%
- Atmospheric Science top 10%
- Mechanics of Materials top 10%
- Topics
- Geological and Geochemical Analysis (10 papers)High-pressure geophysics and materials (4 papers)Geochemistry and Geologic Mapping (3 papers)
- Partner nations
- United StatesGermany
In The Last Decade
J. A. Grant
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Geophysics 1.7k
- Artificial Intelligence 893
- Geochemistry and Petrology 483
- Atmospheric Science 165
- Mechanics of Materials 138
Countries citing papers authored by J. A. Grant
This map shows the geographic impact of J. A. Grant'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 J. A. Grant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. A. Grant more than expected).
Fields of papers citing papers by J. A. Grant
This network shows the impact of papers produced by J. A. Grant. 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 J. A. Grant. The network helps show where J. A. Grant may publish in the future.
Co-authorship network of co-authors of J. A. Grant
This figure shows the co-authorship network connecting the top 25 collaborators of J. A. Grant. A scholar is included among the top collaborators of J. A. Grant 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 J. A. Grant. J. A. Grant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Thermal Conductivity of Soils with Bimodal Grain-Sizes at Mars Pressures | 1 |
| 2 | Thermal Conductivity of Coarse and Fine Grained Soil Mixtures: Measurements and Mars Applications | 1 |
| 3 | 23 | |
| 4 | 295 | |
| 5 | 23 | |
| 6 | 22 | |
| 7 | 80 | |
| 8 | Quartz-phlogopite-liquid equilibria and origins of charnockites | 21 |
| 9 | The isocon diagram; a simple solution to Gresens' equation for metasomatic alterationbreakdown → | 1104 |
| 10 | Decompression melting: an isothermal polybaric liquidus diagram for charnockites | 1 |
| 11 | 46 | |
| 12 | 9 | |
| 13 | 44 | |
| 14 | Crystallographic projection of chemical potential relationships as an aid in the interpretation of metasomatic zoning | 4 |
| 15 | Mineral assemblages in stereographic projection | 1 |
| 16 | 41 | |
| 17 | 92 | |
| 18 | 44 | |
| 19 | 23 |
About J. A. Grant
J. A. Grant is a scholar working on Geophysics, Geochemistry and Petrology and Geology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (10 papers), High-pressure geophysics and materials (4 papers) and Geochemistry and Geologic Mapping (3 papers). The work is most often cited by research in Geophysics (1.7k citations), Geochemistry and Petrology (483 citations) and Artificial Intelligence (893 citations). J. A. Grant has collaborated with scholars based in United States and Germany. Frequent co-authors include P. W. Weiblen, Carol D. Frost, E. Hoffer, Sakiko N. Olsen, Christopher P. McKay, M. T. Mellon and M. T. Mellon. Their work appears in journals such as Science, Contributions to Mineralogy and Petrology and American Mineralogist.
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.