Mario Floris

55 papers receiving 1.0k citations

Mario Floris's Hit Papers

Landslide displacement forecasting using deep learning and monitoring data across selected sites 2023 · 106 citations
1060+1+2Years since publication4080120

Peers

Mario Floris
Comparison fields: 5 of 67
  • Management, Monitoring, Policy and Law 737
  • Atmospheric Science 326
  • Global and Planetary Change 319
  • Safety, Risk, Reliability and Quality 109
  • Aerospace Engineering 268
Replace Pierluigi Confuorto with:
Pierluigi Confuorto Italy
Carlo Tacconi Stefanelli Italy
Luca Tanteri Italy
Shuyue Ma China
Sara Del Conte Italy
William Frodella Italy
Yaru Zhu China
Federica Bardi Italy
Massimo Ramondini Italy
Paolo Canuti Italy
Mario Floris relative to Pierluigi Confuorto Italy Pierluigi Confuorto's profile →
Citations per field
00.5×10×16×
Pierluigi Confuorto · 1×
Citations per year

Countries citing papers authored by Mario Floris

Since Specialization
Citations

This map shows the geographic impact of Mario Floris'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 Floris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Floris more than expected).

Fields of papers citing papers by Mario Floris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Floris. 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 Floris. The network helps show where Mario Floris may publish in the future.

Co-authors

The 25 scholars most cited alongside Mario Floris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Floris Line = papers co-authored together Mario Floris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Landslide detection in the Himalayas using machine learning algorithms and U-Net
Hit paper breakdown →
2022132
2
Landslide displacement forecasting using deep learning and monitoring data across selected sites
Hit paper breakdown →
2023106
3 200766
4 202254
5 201654
6 202352
7 201040
8 199539
9 201933
10 202332
11 202231
12 201931
13 201731
14 201830
15 200625
16 201024
17 202324
18 202119
19 202119
20 201719

About Mario Floris

Mario Floris is a scholar working on Management, Monitoring, Policy and Law, Aerospace Engineering, Atmospheric Science, Global and Planetary Change and Civil and Structural Engineering, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Landslides and related hazards (41 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (28 papers), Cryospheric studies and observations (22 papers), Flood Risk Assessment and Management (12 papers), Geotechnical Engineering and Analysis (5 papers), Tree Root and Stability Studies (4 papers), 3D Surveying and Cultural Heritage (4 papers) and earthquake and tectonic studies (3 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (737 citations), Atmospheric Science (326 citations), Global and Planetary Change (319 citations), Safety, Risk, Reliability and Quality (109 citations) and Aerospace Engineering (268 citations). Mario Floris has collaborated with scholars based in Italy, China and Netherlands. Frequent co-authors include Filippo Catani, Kushanav Bhuyan, Sansar Raj Meena, Francesca Bozzano, Silvia Puliero, Simone Fiaschi, Lorenzo Nava, R. Genevois, Lucas Pedrosa Soares and R. P. Singh. Their work appears in journals such as Remote Sensing, Natural hazards and earth system sciences, Environmental Earth Sciences, GIScience & Remote Sensing 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.

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