R. Martino
- Geophysics top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Franco M. CabrerizoAlberto L. CapparelliGustavo SuárezAndrés H. ThomasAntónio CastroGraciela I. VujovichJuan E. OtamendiLucio Pinotti
- Topics
- Geological and Geochemical Analysis (7 papers)Quantum Dots Synthesis And Properties (5 papers)Chalcogenide Semiconductor Thin Films (5 papers)
In The Last Decade
R. Martino
28 papers receiving 451 citations
Peers
Comparison fields: 5 of 80
- Geophysics 255
- Artificial Intelligence 104
- Molecular Biology 74
- Materials Chemistry 68
- Electrical and Electronic Engineering 44
Countries citing papers authored by R. Martino
This map shows the geographic impact of R. Martino'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 R. Martino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Martino more than expected).
Fields of papers citing papers by R. Martino
This network shows the impact of papers produced by R. Martino. 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 R. Martino. The network helps show where R. Martino may publish in the future.
Co-authorship network of co-authors of R. Martino
This figure shows the co-authorship network connecting the top 25 collaborators of R. Martino. A scholar is included among the top collaborators of R. Martino 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 R. Martino. R. Martino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Flat-slab subduction and continental deformation: an integrated geophysical and geological investigation of basement uplifts within the eastern Sierras Pampeanas, Argentina | 2 |
| 3 | 28 | |
| 4 | 61 | |
| 5 | Estructuras primarias, secundarias y evolución estructural de las corneanas de La Clemira, sierra de Ambargasta, Santiago del Estero | 3 |
| 6 | Trayectoria textural de las metamorfitas del sector centro-oriental de la sierra de Comechingones, Córdoba | 10 |
| 7 | Petrography, structure and tectonic significance of 'Los Túneles' Shear Zone, Sierras de Pocho y Guasapampa, Córdoba, Argentina | 3 |
| 8 | 34 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 4 |
About R. Martino
R. Martino is a scholar working on Geophysics, Catalysis and Condensed Matter Physics, having authored 31 papers that have together received 462 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (7 papers), Quantum Dots Synthesis And Properties (5 papers) and Chalcogenide Semiconductor Thin Films (5 papers). The work is most often cited by research in Geophysics (255 citations), Earth-Surface Processes (32 citations) and Artificial Intelligence (104 citations). R. Martino has collaborated with scholars based in Argentina, Italy and Spain. Frequent co-authors include Franco M. Cabrerizo, Alberto L. Capparelli, Gustavo Suárez, Andrés H. Thomas, António Castro, Graciela I. Vujovich, Juan E. Otamendi, Lucio Pinotti, Jesús de la Rosa and Alessandro Tibaldi. Their work appears in journals such as Applied Surface Science, Thin Solid Films and Journal of Applied Polymer Science.
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.