Mario Martina
- Global and Planetary Change top 2%
- Water Science and Technology top 2%
- Atmospheric Science top 5%
- Management, Monitoring, Policy and Law top 2%
- Environmental Engineering top 5%
- Co-authors
- E. TodiniRui FigueiredoFrancesco DottoriAlessandro SimoniMatteo BertiS. FranceschiniMarco PizzioloDaniela Molinari
- Topics
- Flood Risk Assessment and Management (32 papers)Hydrology and Watershed Management Studies (20 papers)Hydrology and Drought Analysis (20 papers)
In The Last Decade
Mario Martina
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Global and Planetary Change 923
- Water Science and Technology 478
- Atmospheric Science 367
- Management, Monitoring, Policy and Law 292
- Environmental Engineering 210
Countries citing papers authored by Mario Martina
This map shows the geographic impact of Mario Martina'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 Mario Martina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Martina more than expected).
Fields of papers citing papers by Mario Martina
This network shows the impact of papers produced by Mario Martina. 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 Mario Martina. The network helps show where Mario Martina may publish in the future.
Co-authorship network of co-authors of Mario Martina
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Martina. A scholar is included among the top collaborators of Mario Martina 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 Mario Martina. Mario Martina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 22 | |
| 6 | 26 | |
| 7 | 18 | |
| 8 | Remote-sensing based model for drought identification | 1 |
| 9 | Toward near real-time flood loss estimation: model structure and data requirements | 1 |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 49 | |
| 13 | 3 | |
| 14 | 125 | |
| 15 | Development of synthetic flood damage curve by explicit costs analysis | 0 |
| 16 | Probabilistic rainfall thresholds for landslide occurrence using a Bayesian approach | 7 |
| 17 | 21 | |
| 18 | 10 | |
| 19 | Flood forecasting and warning for flash flood risk management | 1 |
| 20 | 116 |
About Mario Martina
Mario Martina is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Flood Risk Assessment and Management (32 papers), Hydrology and Watershed Management Studies (20 papers) and Hydrology and Drought Analysis (20 papers). The work is most often cited by research in Global and Planetary Change (923 citations), Water Science and Technology (478 citations) and Management, Monitoring, Policy and Law (292 citations). Mario Martina has collaborated with scholars based in Italy, Portugal and China. Frequent co-authors include E. Todini, Rui Figueiredo, Francesco Dottori, Alessandro Simoni, Matteo Berti, S. Franceschini, Marco Pizziolo, Daniela Molinari, Anna Rita Scorzini and Brunella Bonaccorso. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and Journal of Hydrology.
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.