Daniela Lagomarsino
- Management, Monitoring, Policy and Law top 0.2%
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Mechanical Engineering top 10%
- Safety, Risk, Reliability and Quality top 2%
- Co-authors
- Samuele SegoniFilippo CataniVeronica TofaniNicola CasagliRiccardo FantiSandro MorettiAndrea CiampaliniAscanio Rosi
- Topics
- Landslides and related hazards (20 papers)Cryospheric studies and observations (14 papers)Flood Risk Assessment and Management (5 papers)
In The Last Decade
Daniela Lagomarsino
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Management, Monitoring, Policy and Law 1.2k
- Global and Planetary Change 725
- Atmospheric Science 538
- Mechanical Engineering 204
- Safety, Risk, Reliability and Quality 191
Countries citing papers authored by Daniela Lagomarsino
This map shows the geographic impact of Daniela Lagomarsino'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 Daniela Lagomarsino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Lagomarsino more than expected).
Fields of papers citing papers by Daniela Lagomarsino
This network shows the impact of papers produced by Daniela Lagomarsino. 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 Daniela Lagomarsino. The network helps show where Daniela Lagomarsino may publish in the future.
Co-authorship network of co-authors of Daniela Lagomarsino
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Lagomarsino. A scholar is included among the top collaborators of Daniela Lagomarsino 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 Daniela Lagomarsino. Daniela Lagomarsino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 78 | |
| 3 | 47 | |
| 4 | 26 | |
| 5 | 104 | |
| 6 | 5 | |
| 7 | 126 | |
| 8 | 28 | |
| 9 | 18 | |
| 10 | 29 | |
| 11 | 32 | |
| 12 | 49 | |
| 13 | 1 | |
| 14 | 67 | |
| 15 | Comparison between intensity- duration thresholds and cumulative rainfall thresholds for the forecasting of landslide | 1 |
| 16 | 140 | |
| 17 | Landslide susceptibility estimation by random forests technique: sensitivity and scaling issuesbreakdown → | 524 |
| 18 | 28 | |
| 19 | The landslide susceptibility map of Italy at 1:1 Million scale | 1 |
| 20 | 91 |
About Daniela Lagomarsino
Daniela Lagomarsino is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Global and Planetary Change, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Landslides and related hazards (20 papers), Cryospheric studies and observations (14 papers) and Flood Risk Assessment and Management (5 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (1.2k citations), Global and Planetary Change (725 citations) and Atmospheric Science (538 citations). Daniela Lagomarsino has collaborated with scholars based in Italy and Spain. Frequent co-authors include Samuele Segoni, Filippo Catani, Veronica Tofani, Nicola Casagli, Riccardo Fanti, Sandro Moretti, Andrea Ciampalini, Ascanio Rosi, Federico Raspini and Alessandro Battistini. Their work appears in journals such as Remote Sensing of Environment, Scientific Reports and Geomorphology.
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.