S. De Martino
- Geophysics top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Atomic and Molecular Physics, and Optics
- Co-authors
- M. FalangaE. De LauroMauro PaloC. GodanoSalvatore CapozzıelloSilvio De SienaRoberto TagliaferriAngelo Ciaramella
- Topics
- Blind Source Separation Techniques (20 papers)Earthquake Detection and Analysis (18 papers)Seismic Waves and Analysis (18 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaJournal of Geophysical Research Atmospheres
In The Last Decade
S. De Martino
83 papers receiving 901 citations
Peers
Comparison fields: 5 of 76
- Geophysics 398
- Statistical and Nonlinear Physics 212
- Artificial Intelligence 188
- Signal Processing 184
- Atomic and Molecular Physics, and Optics 142
Countries citing papers authored by S. De Martino
This map shows the geographic impact of S. De 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 S. De Martino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. De Martino more than expected).
Fields of papers citing papers by S. De Martino
This network shows the impact of papers produced by S. De 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 S. De Martino. The network helps show where S. De Martino may publish in the future.
Co-authorship network of co-authors of S. De Martino
This figure shows the co-authorship network connecting the top 25 collaborators of S. De Martino. A scholar is included among the top collaborators of S. De 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 S. De Martino. S. De 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 | 1 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | Landau modes and organ pipe self-sustained sound | 0 |
| 9 | Model for high frequency Strombolian tremor inferred by wavefield decomposition and reconstruction of asymptotic dynamics | 2 |
| 10 | 26 | |
| 11 | 6 | |
| 12 | 20 | |
| 13 | 28 | |
| 14 | 13 | |
| 15 | 38 | |
| 16 | 14 | |
| 17 | A Stochastic model for the semiclassical collective dynamics of charged beams in particle accelerators | 1 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 2 |
About S. De Martino
S. De Martino is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Geophysics, having authored 87 papers that have together received 930 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (20 papers), Earthquake Detection and Analysis (18 papers) and Seismic Waves and Analysis (18 papers). The work is most often cited by research in Geophysics (398 citations), Statistical and Nonlinear Physics (212 citations) and Signal Processing (184 citations). S. De Martino has collaborated with scholars based in Italy, Mexico and Spain. Frequent co-authors include M. Falanga, E. De Lauro, Mauro Palo, C. Godano, Salvatore Capozzıello, Silvio De Siena, Roberto Tagliaferri, Angelo Ciaramella, G. Lauro and Nicola Cufaro Petroni. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.
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.