Philip T. Leat
- Geophysics top 0.2%
- Artificial Intelligence top 0.5%
- Atmospheric Science top 1%
- Paleontology top 1%
- Earth-Surface Processes top 1%
- Co-authors
- Teal R. RileyIan MillarJulian A. PearceP. F. BarkerR. N. ThompsonR. J. PankhurstI. J. ParkinsonSJ Edwards
- Topics
- Geological and Geochemical Analysis (105 papers)Geology and Paleoclimatology Research (61 papers)Geochemistry and Geologic Mapping (41 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Philip T. Leat
123 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Geophysics 5.5k
- Artificial Intelligence 1.9k
- Atmospheric Science 1.7k
- Paleontology 812
- Earth-Surface Processes 500
Countries citing papers authored by Philip T. Leat
This map shows the geographic impact of Philip T. Leat'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 Philip T. Leat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip T. Leat more than expected).
Fields of papers citing papers by Philip T. Leat
This network shows the impact of papers produced by Philip T. Leat. 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 Philip T. Leat. The network helps show where Philip T. Leat may publish in the future.
Co-authorship network of co-authors of Philip T. Leat
This figure shows the co-authorship network connecting the top 25 collaborators of Philip T. Leat. A scholar is included among the top collaborators of Philip T. Leat 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 Philip T. Leat. Philip T. Leat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 4 | |
| 4 | 21 | |
| 5 | PETROLOGY OF TERRA NOVA PLUTON, BRAZIL, AND ASSOCIATED ULTRAPOTASSIC DYKES | 0 |
| 6 | 21 | |
| 7 | 37 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 43 | |
| 11 | 43 | |
| 12 | The Boron Transfer From The Slab To The Mantle Wedge: A Combined Study In South Sandwich Island Arc And Southern Volcanic Zone In The Chile Andes. | 2 |
| 13 | 70 | |
| 14 | 135 | |
| 15 | 49 | |
| 16 | Dykes as Tracers of Continental Break-up: Argon Geochronology of Mesozoic Flood Basalts of Western Dronning Maud Land, Antarctica | 1 |
| 17 | 68 | |
| 18 | 95 | |
| 19 | 106 | |
| 20 | 28 |
About Philip T. Leat
Philip T. Leat is a scholar working on Geophysics, Atmospheric Science and Earth-Surface Processes, having authored 124 papers that have together received 6.2k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (105 papers), Geology and Paleoclimatology Research (61 papers) and Geochemistry and Geologic Mapping (41 papers). The work is most often cited by research in Geophysics (5.5k citations), Paleontology (812 citations) and Atmospheric Science (1.7k citations). Philip T. Leat has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Teal R. Riley, Ian Millar, Julian A. Pearce, P. F. Barker, R. N. Thompson, R. J. Pankhurst, I. J. Parkinson, SJ Edwards, Bryan Storey and M. A. Morrison. Their work appears in journals such as Nature, Journal of Geophysical Research Atmospheres and Earth and Planetary Science Letters.
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.