S. E. H. Sakimoto
About
In The Last Decade
S. E. H. Sakimoto
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 47
- Astronomy and Astrophysics 1.1k
- Atmospheric Science 598
- Geophysics 141
- Aerospace Engineering 138
- Earth-Surface Processes 67
Countries citing papers authored by S. E. H. Sakimoto
This map shows the geographic impact of S. E. H. Sakimoto'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 S. E. H. Sakimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. E. H. Sakimoto more than expected).
Fields of papers citing papers by S. E. H. Sakimoto
This network shows the impact of papers produced by S. E. H. Sakimoto. 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 S. E. H. Sakimoto. The network helps show where S. E. H. Sakimoto may publish in the future.
Co-authorship network of co-authors of S. E. H. Sakimoto
This figure shows the co-authorship network connecting the top 25 collaborators of S. E. H. Sakimoto. A scholar is included among the top collaborators of S. E. H. Sakimoto 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 S. E. H. Sakimoto. S. E. H. Sakimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Martian Small Volcanic Shields and Shield Fields | 3 |
| 2 | Central Mounds in Martian Impact Craters: Assessment as Possible Perennial Permafrost Mounds (Pingos) | 7 |
| 3 | Buried Impact Basins as Constraints on the Thickness of Ridged Plains and Northern Lowland Plains on Mars | 4 |
| 4 | MOLA Topography of Small Volcanoes in Tempe Terra and Ceraunius Fossae, Mars: Implications for Eruptive Styles | 2 |
| 5 | Orcus Patera, Mars: Impact Crater or Volcanic Caldera? | 4 |
| 6 | Topographic Constraints on Magma Reservoir Volume and Depth for Small Near-Polar Volcanoes in the Northern Plains of Mars | 2 |
| 7 | Small Martian North Polar Volcanoes: Topographic Implications for Eruptive Styles | 4 |
| 8 | Eruption Constraints for a Young Channelized Lava Flow, Marte Vallis, Mars | 1 |
| 9 | 150 | |
| 10 | Boundaries and Stratigraphy of the Medusae Fossae Formation and Elysium Basin Materials Using Mars Orbiter Laser Altimeter (MOLA) Data | 1 |
| 11 | North Polar Dunes on Mars: MOLA Measurements and Implications for Sediment Volumes | 4 |
| 12 | Global Geometric Characteristics of Fresh Impact Craters on Mars: A New Perspective from the Mars Orbiter Laser Altimeter (MOLA) | 2 |
| 13 | Global Geometric Properties of Martian Impact Craters: A Preliminary Assessment Using Mars Orbiter Laser Altimeter (MOLA) | 17 |
| 14 | Medusae Fossae Formation, Mars: an Assessment of Possible Origins Utilizing Early Results from Mars Global Surveyor | 3 |
| 15 | MOLA Topographic Structure of the Isidis and Utopia Impact Basins | 7 |
| 16 | MOLA Topography and Stratigraphy of Geologic Units at the Dichotomy Boundary: The Medusae Fossae Formation | 2 |
| 17 | Inside the "Black Box": Velocity Distributions and Flow Rates in Lava Channels from Laboratory, Analytic, and Computational Fluid Dynamics Methods | 1 |
| 18 | Martian Impact Crater Ejecta Topography as Measured by the Mars Orbiter Laser Altimeter (MOLA) | 1 |
| 19 | Venusian Lava Flow Morphologies: Variations on a Basaltic Theme | 4 |
| 20 | Venus pancake dome formation: Morphologic effects of a cooling-induced variable viscosity during emplacement | 5 |
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.