Lorenzo Nava
- Management, Monitoring, Policy and Law top 2%
- Global and Planetary Change top 10%
- Atmospheric Science top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Filippo CataniOriol MonserratKushanav BhuyanSansar Raj MeenaMario FlorisFrancesco GringoliC.J. van WestenAscanio Rosi
- Topics
- Landslides and related hazards (15 papers)Flood Risk Assessment and Management (11 papers)Cryospheric studies and observations (6 papers)
In The Last Decade
Lorenzo Nava
19 papers receiving 488 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Management, Monitoring, Policy and Law 330
- Global and Planetary Change 162
- Atmospheric Science 139
- Computer Networks and Communications 80
- Artificial Intelligence 66
Countries citing papers authored by Lorenzo Nava
This map shows the geographic impact of Lorenzo Nava'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 Lorenzo Nava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Nava more than expected).
Fields of papers citing papers by Lorenzo Nava
This network shows the impact of papers produced by Lorenzo Nava. 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 Lorenzo Nava. The network helps show where Lorenzo Nava may publish in the future.
Co-authorship network of co-authors of Lorenzo Nava
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Nava. A scholar is included among the top collaborators of Lorenzo Nava 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 Lorenzo Nava. Lorenzo Nava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 14 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 27 | |
| 10 | Landslide displacement forecasting using deep learning and monitoring data across selected sitesbreakdown → | 89 |
| 11 | 20 | |
| 12 | 49 | |
| 13 | 15 | |
| 14 | 4 | |
| 15 | 61 | |
| 16 | 34 | |
| 17 | 3 | |
| 18 | 53 | |
| 19 | 9 | |
| 20 | 72 |
About Lorenzo Nava
Lorenzo Nava is a scholar working on Management, Monitoring, Policy and Law, Space and Planetary Science and Health Informatics, having authored 21 papers that have together received 502 indexed citations. Recurring topics across this work include Landslides and related hazards (15 papers), Flood Risk Assessment and Management (11 papers) and Cryospheric studies and observations (6 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (330 citations), Atmospheric Science (139 citations) and Global and Planetary Change (162 citations). Lorenzo Nava has collaborated with scholars based in Italy, Spain and China. Frequent co-authors include Filippo Catani, Oriol Monserrat, Kushanav Bhuyan, Sansar Raj Meena, Mario Floris, Francesco Gringoli, C.J. van Westen, Ascanio Rosi, Bo Han and Bobby Bhattacharjee. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and Nature Geoscience.
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.