Daniela Lagomarsino

2.1k total citations · 1 hit paper
20 papers, 1.4k citations indexed

About

Daniela Lagomarsino is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Daniela Lagomarsino has authored 20 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management, Monitoring, Policy and Law, 14 papers in Atmospheric Science and 8 papers in Global and Planetary Change. Recurrent topics in Daniela Lagomarsino's work include Landslides and related hazards (20 papers), Cryospheric studies and observations (14 papers) and Flood Risk Assessment and Management (5 papers). Daniela Lagomarsino is often cited by papers focused on Landslides and related hazards (20 papers), Cryospheric studies and observations (14 papers) and Flood Risk Assessment and Management (5 papers). Daniela Lagomarsino collaborates with scholars based in Italy and Spain. Daniela Lagomarsino's co-authors include Samuele Segoni, Filippo Catani, Veronica Tofani, Nicola Casagli, Riccardo Fanti, Sandro Moretti, Andrea Ciampalini, Federico Raspini, Ascanio Rosi and Alessandro Battistini and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Geomorphology.

In The Last Decade

Daniela Lagomarsino

20 papers receiving 1.3k citations

Hit Papers

Landslide susceptibility estimation by random forests tec... 2013 2026 2017 2021 2013 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues
    2013 524 citations Filippo Catani, Daniela Lagomarsino et al. Natural hazards and earth system sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Lagomarsino Italy 15 1.2k 725 538 204 191 20 1.4k
Kang-Tsung Chang Taiwan 14 1.7k 1.5× 1.1k 1.5× 642 1.2× 245 1.2× 264 1.4× 16 2.0k
E.A. Castellanos Abella Cuba 6 1.3k 1.1× 819 1.1× 354 0.7× 244 1.2× 341 1.8× 9 1.4k
Melanie Froude United Kingdom 4 1.3k 1.1× 651 0.9× 510 0.9× 207 1.0× 280 1.5× 6 1.4k
Sérgio C. Oliveira Portugal 16 908 0.8× 786 1.1× 381 0.7× 172 0.8× 216 1.1× 41 1.2k
Marko Komac Slovenia 15 788 0.7× 396 0.5× 250 0.5× 123 0.6× 217 1.1× 46 1.0k
Francesco Sdao Italy 18 1.0k 0.9× 464 0.6× 250 0.5× 180 0.9× 220 1.2× 61 1.5k
K.S. Sajinkumar India 23 773 0.7× 768 1.1× 357 0.7× 180 0.9× 112 0.6× 90 1.6k
Langping Li China 21 986 0.8× 357 0.5× 354 0.7× 206 1.0× 299 1.6× 64 1.3k
Helene Petschko Germany 12 1.1k 0.9× 738 1.0× 379 0.7× 228 1.1× 180 0.9× 21 1.3k
Amar Deep Regmi China 17 1.5k 1.3× 978 1.3× 421 0.8× 383 1.9× 340 1.8× 26 1.8k

Countries citing papers authored by Daniela Lagomarsino

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Bucci, Francesco, Michele Santangelo, Federica Fiorucci, et al.. (2021). Geomorphologic landslide inventory by air photo interpretation of the High Agri Valley (Southern Italy). Journal of Maps. 17(2). 376–388. 11 indexed citations
2.
Segoni, Samuele, Ascanio Rosi, Daniela Lagomarsino, Riccardo Fanti, & Nicola Casagli. (2018). Brief communication: Using averaged soil moisture estimates to improve the performances of a regional-scale landslide early warning system. Natural hazards and earth system sciences. 18(3). 807–812. 78 indexed citations
3.
Battistini, Alessandro, Ascanio Rosi, Samuele Segoni, et al.. (2017). Validation of landslide hazard models using a semantic engine on online news. Applied Geography. 82. 59–65. 47 indexed citations
4.
Traglia, Federico Di, Stefania Bartolini, Teresa Nolesini, et al.. (2017). Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study. Landslides. 15(1). 21–29. 26 indexed citations
5.
Lagomarsino, Daniela, Veronica Tofani, Samuele Segoni, Filippo Catani, & Nicola Casagli. (2017). A Tool for Classification and Regression Using Random Forest Methodology: Applications to Landslide Susceptibility Mapping and Soil Thickness Modeling. Environmental Modeling & Assessment. 22(3). 201–214. 104 indexed citations
6.
Segoni, Samuele, Ascanio Rosi, Daniela Lagomarsino, Riccardo Fanti, & Nicola Casagli. (2016). The impact of rainfall time series with different length in a landslide warning system, in the framework of changing precipitation trends. Geoenvironmental Disasters. 3(1). 5 indexed citations
7.
Bianchini, Silvia, Federico Raspini, Andrea Ciampalini, et al.. (2016). Mapping landslide phenomena in landlocked developing countries by means of satellite remote sensing data: the case of Dilijan (Armenia) area. Geomatics Natural Hazards and Risk. 8(2). 225–241. 18 indexed citations
8.
Ciampalini, Andrea, Federico Raspini, Daniela Lagomarsino, Filippo Catani, & Nicola Casagli. (2016). Landslide susceptibility map refinement using PSInSAR data. Remote Sensing of Environment. 184. 302–315. 126 indexed citations
9.
Catani, Filippo, Veronica Tofani, & Daniela Lagomarsino. (2016). Spatial patterns of landslide dimension: A tool for magnitude mapping. Geomorphology. 273. 361–373. 28 indexed citations
10.
Segoni, Samuele, Veronica Tofani, Daniela Lagomarsino, & Sandro Moretti. (2016). Landslide susceptibility of the Prato–Pistoia–Lucca provinces, Tuscany, Italy. Journal of Maps. 12(sup1). 401–406. 29 indexed citations
11.
Lagomarsino, Daniela, Samuele Segoni, Ascanio Rosi, et al.. (2015). Quantitative comparison between two different methodologies to define rainfall thresholds for landslide forecasting. Natural hazards and earth system sciences. 15(10). 2413–2423. 49 indexed citations
12.
Traglia, Federico Di, Maurizio Battaglia, Teresa Nolesini, Daniela Lagomarsino, & Nicola Casagli. (2015). Shifts in the eruptive styles at Stromboli in 2010–2014 revealed by ground-based InSAR data. Scientific Reports. 5(1). 13569–13569. 32 indexed citations
13.
Ciampalini, Andrea, Federico Raspini, Silvia Bianchini, et al.. (2015). The landslide geodatabase of the Messina Province: a tool in the civil protection emergency cycle. Rendiconti online della Società Geologica Italiana. 35. 70–73. 1 indexed citations
14.
Ciampalini, Andrea, Federico Raspini, Silvia Bianchini, et al.. (2015). Remote sensing as tool for development of landslide databases: The case of the Messina Province (Italy) geodatabase. Geomorphology. 249. 103–118. 67 indexed citations
15.
Lagomarsino, Daniela, Ascanio Rosi, Guglielmo Rossi, Samuele Segoni, & Filippo Catani. (2014). Comparison between intensity- duration thresholds and cumulative rainfall thresholds for the forecasting of landslide. Florence Research (University of Florence). 15048. 1 indexed citations
16.
Segoni, Samuele, Daniela Lagomarsino, Riccardo Fanti, Sandro Moretti, & Nicola Casagli. (2014). Integration of rainfall thresholds and susceptibility maps in the Emilia Romagna (Italy) regional-scale landslide warning system. Landslides. 12(4). 773–785. 140 indexed citations
17.
Catani, Filippo, Daniela Lagomarsino, Samuele Segoni, & Veronica Tofani. (2013). Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues. Natural hazards and earth system sciences. 13(11). 2815–2831. 524 indexed citations breakdown →
18.
Martelloni, Gianluca, Samuele Segoni, Daniela Lagomarsino, Riccardo Fanti, & Filippo Catani. (2013). Snow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systems. Hydrology and earth system sciences. 17(3). 1229–1240. 28 indexed citations
19.
Trigila, Alessandro, Filippo Catani, Nicola Casagli, et al.. (2012). The landslide susceptibility map of Italy at 1:1 Million scale. EGUGA. 14. 7655–7655. 1 indexed citations
20.
Lagomarsino, Daniela, Samuele Segoni, Riccardo Fanti, & Filippo Catani. (2012). Updating and tuning a regional-scale landslide early warning system. Landslides. 10(1). 91–97. 91 indexed citations

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.

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