Leonardo Ermini

1.9k total citations
22 papers, 1.4k citations indexed

About

Leonardo Ermini is a scholar working on Management, Monitoring, Policy and Law, Surgery and Biomedical Engineering. According to data from OpenAlex, Leonardo Ermini has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management, Monitoring, Policy and Law, 7 papers in Surgery and 7 papers in Biomedical Engineering. Recurrent topics in Leonardo Ermini's work include Landslides and related hazards (8 papers), Hemodynamic Monitoring and Therapy (7 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Leonardo Ermini is often cited by papers focused on Landslides and related hazards (8 papers), Hemodynamic Monitoring and Therapy (7 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Leonardo Ermini collaborates with scholars based in Italy. Leonardo Ermini's co-authors include Nicola Casagli, Filippo Catani, Gianpaolo Rosati, Gaia Righini, Giovanni Menduni, Paolo Farina, Riccardo Fanti, Paolo Canuti, Silvestro Roatta and Stefano Morelli and has published in prestigious journals such as Scientific Reports, Geomorphology and Engineering Geology.

In The Last Decade

Leonardo Ermini

20 papers receiving 1.4k citations

Peers

Leonardo Ermini

MMPL

GPC

CSE

SRRQ

José Moya Sánchez Spain

Vicente Medina Spain

Srikrishnan Siva Subramanian China

Dongpo Wang China

Yongshuang Zhang China

Xinghua Zhu China

Lanxin Dai China

Paola Revellino Italy

Alessandro Simoni Italy

Francesco Sdao Italy

José Moya Sánchez Spain

Leonardo Ermini

1.6k ×1.3

MMPL

592 ×1.1

GPC

492 ×1.1

CSE

626 ×1.7

385 ×1.4

SRRQ

Citations per year, relative to Leonardo Ermini Leonardo Ermini (= 1×) peers José Moya Sánchez

Countries citing papers authored by Leonardo Ermini

Since Specialization

Citations

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

Fields of papers citing papers by Leonardo Ermini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Ermini

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

All Works

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20 of 20 papers shown

Ermini, Leonardo, et al.. (2025). Transcranial Doppler-Based Neurofeedback to Improve Hemispheric Lateralization. Applied Sciences. 15(10). 5763–5763. 1 indexed citations

Ermini, Leonardo, et al.. (2024). Effect of Respirophasic Displacement of the Inferior Vena Cava on Size Measurement in 2-D Ultrasound Imaging. Ultrasound in Medicine & Biology. 50(12). 1785–1792. 1 indexed citations

Ermini, Leonardo & Silvestro Roatta. (2023). Pulse Wave Velocity is affected by the magnitude of the Pulse Wave, in human veins. Biomedical Signal Processing and Control. 86. 105217–105217.

Ermini, Leonardo, et al.. (2023). Detection of Inferior Vena Cava in Ultrasound Scans through a Deep Learning Model. Electronics. 12(7). 1725–1725. 2 indexed citations

Ermini, Leonardo, et al.. (2022). Evidence that large vessels do affect near infrared spectroscopy. Scientific Reports. 12(1). 2155–2155. 10 indexed citations

Ermini, Leonardo, Paolo Massobrio, & Luca Mesin. (2022). Approximate Entropy of Spiking Series Reveals Different Dynamical States in Cortical Assemblies. Electronics. 11(6). 936–936. 1 indexed citations

Ermini, Leonardo, et al.. (2022). A Portable Device for the Measurement of Venous Pulse Wave Velocity. Applied Sciences. 12(4). 2173–2173. 6 indexed citations

Ermini, Leonardo, et al.. (2021). The Cardiac Caval Index: Improving Noninvasive Assessment of Cardiac Preload. Journal of Ultrasound in Medicine. 41(9). 2247–2258. 6 indexed citations

Ermini, Leonardo, et al.. (2020). Venous Pulse Wave Velocity variation in response to a simulated fluid challenge in healthy subjects. Biomedical Signal Processing and Control. 63. 102177–102177. 11 indexed citations

10.

Ermini, Leonardo, et al.. (2019). Objective Assessment of Venous Pulse Wave Velocity in Healthy Humans. Ultrasound in Medicine & Biology. 46(3). 849–854. 12 indexed citations

11.

Ermini, Leonardo, Luca Mesin, & Paolo Massobrio. (2018). Approximate Entropy of Spiking Series of a Neuronal Network in Either Subcritical or Critical State. 7. 1–4. 1 indexed citations

12.

Catani, Filippo, Nicola Casagli, Leonardo Ermini, Gaia Righini, & Giovanni Menduni. (2005). Landslide hazard and risk mapping at catchment scale in the Arno River basin. Landslides. 2(4). 329–342. 220 indexed citations

13.

Ermini, Leonardo, Nicola Casagli, & Paolo Farina. (2004). LANDSLIDE DAMS: ANALYSIS OF CASE HISTORIES AND NEW PERSPECTIVES FROM THE APPLICATION OF REMOTE SENSING MONITORING TECHNIQUES TO HAZARD AND RISK ASSESSMENT. Florence Research (University of Florence). 13 indexed citations

14.

Canuti, Paolo, Nicola Casagli, Leonardo Ermini, Riccardo Fanti, & Paolo Farina. (2004). Landslide activity as a geoindicator in Italy: significance and new perspectives from remote sensing. Environmental Geology. 45(7). 907–919. 90 indexed citations

15.

Casagli, Nicola, et al.. (2004). Radiocarbon Data on Lateglacial and Holocene Landslides in the Northern Apennines. Natural Hazards. 31(3). 645–662. 42 indexed citations

16.

Ermini, Leonardo, Filippo Catani, & Nicola Casagli. (2004). Artificial Neural Networks applied to landslide susceptibility assessment. Geomorphology. 66(1-4). 327–343. 445 indexed citations

17.

Casagli, Nicola, Leonardo Ermini, & Gianpaolo Rosati. (2003). Determining grain size distribution of the material composing landslide dams in the Northern Apennines: sampling and processing methods. Engineering Geology. 69(1-2). 83–97. 182 indexed citations

18.

Casagli, Nicola, Filippo Catani, & Leonardo Ermini. (2002). Artificial Neural Networks Applied To Landslide Hazard Assessment. EGS General Assembly Conference Abstracts. 3902. 2 indexed citations

19.

Ermini, Leonardo & Nicola Casagli. (2002). Prediction of the behaviour of landslide dams using a geomorphological dimensionless index. Earth Surface Processes and Landforms. 28(1). 31–47. 260 indexed citations

20.

Casagli, Nicola & Leonardo Ermini. (1999). Geomorphic analysis of landslide dams in the Northern Apennine. Florence Research (University of Florence). 20(3). 219–249. 94 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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