Mario Floris

63 papers receiving 1.2k citations

Mario Floris's Hit Papers

Landslide displacement forecasting using deep learning and monitoring data across selected sites 2023 · 120 citations
1200+1+2Years since publication50100150

Peers

Mario Floris
Comparison fields: 5 of 66
  • Management, Monitoring, Policy and Law 869
  • Atmospheric Science 371
  • Global and Planetary Change 368
  • Safety, Risk, Reliability and Quality 129
  • Aerospace Engineering 300
Replace Pierluigi Confuorto with:
Pierluigi Confuorto Italy
Paolo Canuti Italy
Carlo Tacconi Stefanelli Italy
Luca Tanteri Italy
Sara Del Conte Italy
Shuyue Ma China
Guglielmo Rossi Italy
Yaru Zhu China
Massimo Ramondini Italy
Bingzhe Tang China
Mario Floris relative to Pierluigi Confuorto Italy Pierluigi Confuorto's profile →
Citations per field
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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 67 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 →
2022152
2
Landslide displacement forecasting using deep learning and monitoring data across selected sites
Hit paper breakdown →
2023120
3 200769
4 202260
5 202357
6 201654
7 201044
8 199539
9 202339
10 202235
11 201834
12 201932
13 201732
14 201930
15 200427
16 201026
17 202325
18 200625
19 202120
20 202119

About Mario Floris

Mario Floris is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science, Aerospace Engineering, Global and Planetary Change and Safety, Risk, Reliability and Quality, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Landslides and related hazards (49 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (30 papers), Cryospheric studies and observations (28 papers), Flood Risk Assessment and Management (13 papers), Geotechnical Engineering and Analysis (7 papers), Tree Root and Stability Studies (6 papers), 3D Surveying and Cultural Heritage (5 papers) and Rock Mechanics and Modeling (4 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (869 citations), Atmospheric Science (371 citations), Global and Planetary Change (368 citations), Safety, Risk, Reliability and Quality (129 citations) and Aerospace Engineering (300 citations). Mario Floris has collaborated with scholars based in Italy, Netherlands and China. Frequent co-authors include Sansar Raj Meena, Filippo Catani, Kushanav Bhuyan, Francesca Bozzano, Silvia Puliero, Simone Fiaschi, Rinaldo Genevois, Lorenzo Nava, Lucas Pedrosa Soares and Massimo Fabris. 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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