Mario Floris

1.5k total citations · 2 hit papers
59 papers, 998 citations indexed

About

Mario Floris is a scholar working on Management, Monitoring, Policy and Law, Aerospace Engineering and Atmospheric Science. According to data from OpenAlex, Mario Floris has authored 59 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Management, Monitoring, Policy and Law, 28 papers in Aerospace Engineering and 22 papers in Atmospheric Science. Recurrent topics in Mario Floris's work include Landslides and related hazards (41 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (28 papers) and Cryospheric studies and observations (22 papers). Mario Floris is often cited by papers focused on Landslides and related hazards (41 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (28 papers) and Cryospheric studies and observations (22 papers). Mario Floris collaborates with scholars based in Italy, Netherlands and China. Mario Floris's co-authors include Kushanav Bhuyan, Filippo Catani, Sansar Raj Meena, Francesca Bozzano, Simone Fiaschi, C.J. van Westen, R. Genevois, Lorenzo Nava, Lucas Pedrosa Soares and Vladimiro Achilli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Mario Floris

55 papers receiving 965 citations

Hit Papers

align trajectories

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.

Landslide detection in the Himalayas using machine learning algorithms and U-Net

2022 125 citations Sansar Raj Meena, Lucas Pedrosa Soares et al. Landslides profile →
Landslide displacement forecasting using deep learning and monitoring data across selected sites

2023 89 citations Lorenzo Nava, Cristina Reyes‐Carmona et al. Landslides profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mario Floris Italy	20	705	323	314	264	148	59	998
Pierluigi Confuorto Italy	16	759 1.1×	412 1.3×	229 0.7×	502 1.9×	116 0.8×	40	1.1k
Carlo Tacconi Stefanelli Italy	13	855 1.2×	370 1.1×	235 0.7×	185 0.7×	316 2.1×	24	1.0k
Yaru Zhu China	17	684 1.0×	360 1.1×	276 0.9×	178 0.7×	140 0.9×	25	946
Shuyue Ma China	17	699 1.0×	384 1.2×	214 0.7×	211 0.8×	143 1.0×	25	917
Luca Tanteri Italy	12	724 1.0×	359 1.1×	229 0.7×	298 1.1×	84 0.6×	17	1.0k
Romy Schlögel Italy	15	654 0.9×	389 1.2×	220 0.7×	198 0.8×	61 0.4×	29	840
Guglielmo Rossi Italy	12	630 0.9×	254 0.8×	253 0.8×	136 0.5×	123 0.8×	25	902
Paolo Canuti Italy	13	729 1.0×	300 0.9×	251 0.8×	115 0.4×	171 1.2×	52	994
Massimo Ramondini Italy	21	810 1.1×	384 1.2×	167 0.5×	579 2.2×	256 1.7×	53	1.1k
Sara Del Conte Italy	12	708 1.0×	485 1.5×	159 0.5×	559 2.1×	120 0.8×	29	1.0k

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-authorship network of co-authors of Mario Floris

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Floris. A scholar is included among the top collaborators of Mario Floris 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 Mario Floris. Mario Floris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fabris, Massimo & Mario Floris. (2025). Integrated GNSS and InSAR Analysis for Monitoring the Shoulder Structures of the MOSE System in Venice, Italy. Remote Sensing. 17(6). 1059–1059.

Bhuyan, Kushanav, Uğur Öztürk, Lorenzo Nava, et al.. (2024). Towards automatic delineation of landslide source and runout. Engineering Geology. 345. 107866–107866. 6 indexed citations

Lorenzoni, Filippo, et al.. (2023). Satellite SAR Interferometry and On-Site Traditional SHM to Monitor the Post-Earthquake Behavior of the Civic Tower in L’Aquila (Abruzzo Region, Italy). Remote Sensing. 15(6). 1587–1587. 6 indexed citations

Bhuyan, Kushanav, Sansar Raj Meena, Lorenzo Nava, et al.. (2023). Mapping landslides through a temporal lens: an insight toward multi-temporal landslide mapping using the u-net deep learning model. GIScience & Remote Sensing. 60(1). 19 indexed citations

Meena, Sansar Raj, Lorenzo Nava, Kushanav Bhuyan, et al.. (2023). HR-GLDD: a globally distributed dataset using generalized deep learning (DL) for rapid landslide mapping on high-resolution (HR) satellite imagery. Earth system science data. 15(7). 3283–3298. 27 indexed citations

Breda, Anna, et al.. (2023). Geological-technical study for the design of an underground variant of S.S. 52 “Carnica” in the Passo Mauria area (Carnic Alps). Rendiconti online della Società Geologica Italiana. 60. 126–132.

Nava, Lorenzo, Cristina Reyes‐Carmona, Kushanav Bhuyan, et al.. (2023). Landslide displacement forecasting using deep learning and monitoring data across selected sites. Landslides. 20(10). 2111–2129. 89 indexed citations breakdown →

Fabris, Massimo & Mario Floris. (2023). Editorial for Special Issue “Ground and Structural Deformations Monitoring Systems Integrating Remote Sensing and Ground-Based Data”. Remote Sensing. 15(12). 3013–3013. 2 indexed citations

Caporali, A., et al.. (2020). The November 2019 Seismic Sequence in Albania: Geodetic Constraints and Fault Interaction. Remote Sensing. 12(5). 846–846. 16 indexed citations

10.

Cenni, Nicola, et al.. (2019). Geodetic monitoring of the subsidence in the Po River Delta (Italy). Research Padua Archive (University of Padua). 21. 4303.

11.

Floris, Mario, et al.. (2017). Use of Sentinel-1 SAR data to monitor Mosul dam vulnerability. Research Padua Archive (University of Padua). 19. 13098. 2 indexed citations

12.

Fiaschi, Simone, Matteo Mantovani, Simone Frigerio, et al.. (2016). Testing the potential of Sentinel-1 TOPS interferometry for the detection and monitoring of landslides at local scale. Research Padua Archive (University of Padua). 1 indexed citations

13.

Fiaschi, Simone, Diego Di Martire, Vladimiro Achilli, et al.. (2016). MONITORING OF LAND SUBSIDENCE IN RAVENNA MUNICIPALITY USING INTEGRATED SAR - GPS TECHNIQUES: DESCRIPTION AND FIRST RESULTS. The international archives of the photogrammetry, remote sensing and spatial information sciences. XLI-B7. 23–28. 7 indexed citations

14.

Fiaschi, Simone, Diego Di Martire, Serena Tessitore, et al.. (2015). Monitoring of land subsidence in Ravenna Municipality using two different DInSAR techniques: comparison and discussion of the results. Research Padua Archive (University of Padua). 17. 5863. 2 indexed citations

15.

Floris, Mario, et al.. (2013). Using PS-InSAR data to evaluate temporal evolution of instability phenomena: the case study of Cischele landslide (North-Eastern Italian Alps). Research Padua Archive (University of Padua). 1 indexed citations

16.

Floris, Mario, et al.. (2012). The contribute of DInSAR techniques to landslide hazard evaluation in mountain and hilly regions: a case study from Agno Valley (North-Eastern Italian Alps). Research Padua Archive (University of Padua). 3535. 1 indexed citations

17.

Fiaschi, Simone, et al.. (2012). An unconventional GIS-based method to assess landslide susceptibility using point data features. Research Padua Archive (University of Padua). 10056. 1 indexed citations

18.

Floris, Mario, et al.. (2010). The use of IFSAR data in GIS-based landslide susceptibility evaluation. EGU General Assembly Conference Abstracts. 6(12). 14777–9. 2 indexed citations

19.

Bozzano, Francesca, et al.. (2005). Assetto geologico ed evoluzione per frana di rupi vulcaniche nel lazio settentrionale. Bollettino Della Societa Geologica Italiana. 124(2). 413–436. 5 indexed citations

20.

Sepkowitz, Kent A., Cindy R. Friedman, Alice Hafner, et al.. (1995). Tuberculosis Among Urban Health Care Workers: A Study Using Restriction Fragment Length Polymorphism Typing. Clinical Infectious Diseases. 21(5). 1098–1102. 39 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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