Mario Aristide Lenzi

5.1k total citations
118 papers, 4.0k citations indexed

About

Mario Aristide Lenzi is a scholar working on Ecology, Soil Science and Water Science and Technology. According to data from OpenAlex, Mario Aristide Lenzi has authored 118 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Ecology, 80 papers in Soil Science and 34 papers in Water Science and Technology. Recurrent topics in Mario Aristide Lenzi's work include Hydrology and Sediment Transport Processes (94 papers), Soil erosion and sediment transport (80 papers) and Hydrology and Watershed Management Studies (32 papers). Mario Aristide Lenzi is often cited by papers focused on Hydrology and Sediment Transport Processes (94 papers), Soil erosion and sediment transport (80 papers) and Hydrology and Watershed Management Studies (32 papers). Mario Aristide Lenzi collaborates with scholars based in Italy, Chile and Nepal. Mario Aristide Lenzi's co-authors include Francesco Comiti, Luca Mao, Lorenzo Picco, Lorenzo Marchi, Andrea Andreoli, Andrea Marion, Vincenzo D’Agostino, Emanuel Rigon, Nicola Surian and Diego Ravazzolo and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and Annals of Oncology.

In The Last Decade

Mario Aristide Lenzi

113 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Aristide Lenzi Italy 36 3.5k 2.8k 1.4k 802 707 118 4.0k
Luca Mao Chile 41 3.6k 1.0× 2.8k 1.0× 1.4k 1.0× 981 1.2× 508 0.7× 144 4.5k
Marwan A. Hassan Canada 40 4.6k 1.3× 3.5k 1.3× 2.0k 1.4× 959 1.2× 661 0.9× 213 5.7k
Peter B. Hairsine Australia 33 2.2k 0.6× 2.7k 1.0× 1.9k 1.4× 837 1.0× 238 0.3× 66 3.6k
Damià Vericat Spain 41 3.5k 1.0× 2.6k 0.9× 1.7k 1.3× 990 1.2× 261 0.4× 123 5.0k
Andrés Iroumé Chile 32 1.3k 0.4× 1.2k 0.4× 1.0k 0.8× 1.1k 1.3× 145 0.2× 115 2.5k
Marco Cavalli Italy 38 2.4k 0.7× 2.4k 0.9× 1.2k 0.9× 1.3k 1.6× 201 0.3× 116 4.1k
Richard D. Hey United Kingdom 27 3.5k 1.0× 2.3k 0.8× 1.3k 0.9× 592 0.7× 1.0k 1.5× 58 3.9k
M. P. Mosley New Zealand 17 1.3k 0.4× 928 0.3× 1.0k 0.8× 470 0.6× 381 0.5× 48 2.2k
Patrick N.J. Lane Australia 38 1.2k 0.3× 1.3k 0.5× 986 0.7× 3.1k 3.9× 104 0.1× 114 4.1k
Jonathan B. Laronne Israel 34 2.6k 0.7× 1.9k 0.7× 1.1k 0.8× 793 1.0× 578 0.8× 119 3.4k

Countries citing papers authored by Mario Aristide Lenzi

Since Specialization
Citations

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

Fields of papers citing papers by Mario Aristide Lenzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Aristide Lenzi

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Aristide Lenzi. A scholar is included among the top collaborators of Mario Aristide Lenzi 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 Aristide Lenzi. Mario Aristide Lenzi 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.
Lenzi, Mario Aristide & Vincenzo D’Agostino. (2026). Step pool evolution in an Alpine torrent. Research Padua Archive (University of Padua). 31–31.
2.
3.
Rainato, Riccardo, et al.. (2020). Integrated analysis of sediment source areas in an Alpine basin. CATENA. 188. 104416–104416. 11 indexed citations
4.
Cislaghi, Alessio, Emanuel Rigon, Mario Aristide Lenzi, & Gian Battista Bischetti. (2018). A probabilistic multidimensional approach to quantify large wood recruitment from hillslopes in mountainous-forested catchments. Geomorphology. 306. 108–127. 30 indexed citations
5.
6.
Iroumé, Andrés, et al.. (2016). 3_D modeling using TLS and GPR techniques to characterize above and below-ground wood distribution in pyroclastic deposits along the Blanco River (Chilean Patagonia). Research Padua Archive (University of Padua). 1 indexed citations
7.
Rainato, Riccardo, et al.. (2015). Eroded riverbank assessing in a gravel bed reach of the Piave River by processing LiDAR and TLS data. EGU General Assembly Conference Abstracts. 13160. 1 indexed citations
8.
Mao, Luca, et al.. (2013). Evaluation of short-term geomorphic changes in differently impacted gravel-bed rivers using improved dems of difference. Journal of Agricultural Engineering. 44(2s). 1 indexed citations
9.
Picco, Lorenzo, et al.. (2013). Integration of colour bathymetry, LiDAR and dGPS surveys for assessing fluvial changes after flood events in the Tagliamento River (Italy). Agricultural Sciences. 4(8). 21–29. 1 indexed citations
10.
Picco, Lorenzo, et al.. (2012). An update of the magnitude-frequency analysis of rio cordon (Italy) bedload data after 25 years of monitoring.. Research Padua Archive (University of Padua). 356. 108–113. 5 indexed citations
11.
Picco, Lorenzo, et al.. (2012). Medium term fluvial island evolution in relation with flood events in the Piave River. WIT transactions on engineering sciences. 1. 161–172. 16 indexed citations
12.
Picco, Lorenzo, et al.. (2012). Riparian forest structure, vegetation cover and flood events in the Piave River. WIT transactions on engineering sciences. 1. 137–147. 17 indexed citations
13.
Picco, Lorenzo, et al.. (2011). Large Woody Debris measurements in a gravel bed river environment using Terrestrial Laser Scanner: the Piave River study case. Research Padua Archive (University of Padua). 13. 1 indexed citations
14.
Aguirre, Julio, et al.. (2010). Formation, expansion and restoration of a sedimentation fan: the case of the Arroyo del Partido stream (Spain). WIT transactions on engineering sciences. 1. 249–259. 4 indexed citations
15.
Rigon, Emanuel, Luca Mao, Mario Aristide Lenzi, & Francesco Comiti. (2008). Relationships among basin area, sediment transport mechanisms and wood storage in mountain basins of the Dolomites (Italian Alps). WIT transactions on engineering sciences. I. 163–172. 15 indexed citations
16.
Andreoli, Andrea, Francesco Comiti, & Mario Aristide Lenzi. (2006). Abundance and Morphological Effects of Large Woody Debris in Forested Basins of Southern Andes. View. 2006. 1 indexed citations
17.
Lenzi, Mario Aristide, Luca Mao, & Francesco Comiti. (2006). When does bedload transport begin in steep boulder‐bed streams?. Hydrological Processes. 20(16). 3517–3533. 100 indexed citations
18.
Vita, Serena De, Laura Caggiari, Martina Fabris, et al.. (2006). An Italian multicenter controlled study of HCV-related malignancies: Role of the HLA class II. Digestive and Liver Disease. 38. S30–S30. 1 indexed citations
19.
Salvetti, A., et al.. (1990). Nifedipine interactions in hypertensive patients. Cardiovascular Drugs and Therapy. 4(S5). 963–968. 5 indexed citations
20.
Bernini, G, et al.. (1989). Naloxone does not antagonize the antihypertensive effect of chronic captopril therapy in hypertensive patients. Cardiovascular Drugs and Therapy. 3(6). 829–833. 1 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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