M. Bernardi

645 total citations
32 papers, 421 citations indexed

About

M. Bernardi is a scholar working on Astronomy and Astrophysics, Global and Planetary Change and Electrical and Electronic Engineering. According to data from OpenAlex, M. Bernardi has authored 32 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 18 papers in Global and Planetary Change and 14 papers in Electrical and Electronic Engineering. Recurrent topics in M. Bernardi's work include Lightning and Electromagnetic Phenomena (28 papers), Fire effects on ecosystems (16 papers) and Electrical Fault Detection and Protection (13 papers). M. Bernardi is often cited by papers focused on Lightning and Electromagnetic Phenomena (28 papers), Fire effects on ecosystems (16 papers) and Electrical Fault Detection and Protection (13 papers). M. Bernardi collaborates with scholars based in Italy, Switzerland and Belgium. M. Bernardi's co-authors include Wolfgang Schulz, Gerhard Diendorfer, D. R. Poelman, Mario Paolone, Alberto Borghetti, Carlo Alberto Nucci, Fabio Napolitano, Luciano Telesca, Renato Procopio and Carlo Alberto Nucci and has published in prestigious journals such as Agricultural and Forest Meteorology, Remote Sensing and Physica A Statistical Mechanics and its Applications.

In The Last Decade

M. Bernardi

32 papers receiving 409 citations

Peers

M. Bernardi
John A. Cramer United States
D. Mackerras Australia
Qing Meng China
S. J. Hunyady United States
M. Bernardi
Citations per year, relative to M. Bernardi M. Bernardi (= 1×) peers Yongbo Tan

Countries citing papers authored by M. Bernardi

Since Specialization
Citations

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

Fields of papers citing papers by M. Bernardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Bernardi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Bernardi. A scholar is included among the top collaborators of M. Bernardi 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 M. Bernardi. M. Bernardi 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.
Moser, Gabriele, et al.. (2024). A Gaussian Process Regression Method to Nowcast Cloud-to-Ground Lightning From Remote Sensing and Numerical Weather Modeling Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 1963–1981. 3 indexed citations
2.
Farina, Lorenzo, et al.. (2023). Prediction of Cloud-to-Ground Lightning Through Gaussian Process Regression with Satellite Thermal Infrared Imagery and Numerical Weather Prediction Modeling Data. CINECA IRIS Institutial Research Information System (University of Genoa). 2508–2511. 2 indexed citations
3.
Mestriner, Daniele, Massimo Brignone, M. Bernardi, et al.. (2022). Assessment of the Lightning Performance of overhead distribution lines based on Lightning Location Systems data. International Journal of Electrical Power & Energy Systems. 142. 108230–108230. 8 indexed citations
4.
Amato, Federico, et al.. (2021). Cloud-to-Ground lightning nowcasting using Machine Learning. CINECA IRIS Institutial Research Information System (University of Genoa). 1–6. 15 indexed citations
5.
Paliaga, Guido, Carlo Donadio, M. Bernardi, & Francesco Faccini. (2019). High-Resolution Lightning Detection and Possible Relationship with Rainfall Events over the Central Mediterranean Area. Remote Sensing. 11(13). 1601–1601. 24 indexed citations
6.
Poelman, D. R., Wolfgang Schulz, Gerhard Diendorfer, & M. Bernardi. (2016). The European lightning location system EUCLID – Part 2: Observations. Natural hazards and earth system sciences. 16(2). 607–616. 97 indexed citations
7.
Romero, C., Mario Paolone, Farhad Rachidi, et al.. (2011). Preliminary comparison of data from the Säntis Tower and the EUCLID lightning location system. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 140–145. 12 indexed citations
8.
Borghetti, Alberto, Fabio Napolitano, Carlo Alberto Nucci, Mario Paolone, & M. Bernardi. (2010). Numerical solution of the Leader Progression Model by means of the Finite Element Method. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 10 indexed citations
9.
Diendorfer, Gerhard, Wolfgang Schulz, Vladimir A. Rakov, et al.. (2009). Review of CIGRE Report Cloud-to-Ground Lightning Parameters Derived from Lightning Location Systems – The Effects of System Performance. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 11 indexed citations
10.
Borghetti, Alberto, Fabio Napolitano, Carlo Alberto Nucci, et al.. (2007). A Distributed Measurement System for Correlating Faults to Lightning in Distribution Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 1–7. 10 indexed citations
11.
Telesca, Luciano, et al.. (2007). Time-scaling analysis of lightning in Italy. Communications in Nonlinear Science and Numerical Simulation. 13(7). 1384–1396. 15 indexed citations
12.
Bernardi, M., Alberto Borghetti, C.A. Nucci, et al.. (2007). Lightning-Correlated Faults in Power Distribution Networks. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 585–591. 6 indexed citations
13.
Borghetti, Alberto, Carlo Alberto Nucci, Mario Paolone, & M. Bernardi. (2006). A Statistical Approach for Estimating the Correlation between Lightning and Faults in Power Distribution Systems. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–7. 19 indexed citations
14.
Telesca, Luciano, et al.. (2005). Intra-cluster and inter-cluster time correlations in lightning sequences. Physica A Statistical Mechanics and its Applications. 356(2-4). 655–661. 12 indexed citations
15.
Telesca, Luciano, et al.. (2005). IDENTIFYING TIME-CLUSTERING STRUCTURES IN LIGHTNING SEQUENCES. Fluctuation and Noise Letters. 5(4). L507–L514. 3 indexed citations
16.
Borghetti, Alberto, et al.. (2004). Influence of surge arresters on the statistical evaluation of lightning performance of distribution lines. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 776–781. 10 indexed citations
17.
Paolone, Mario, Lorenzo Peretto, R. Sasdelli, et al.. (2004). On the Use of Data From Distributed Measurement Systems for Correlating Voltage Transients to Lightning. IEEE Transactions on Instrumentation and Measurement. 53(4). 1202–1208. 12 indexed citations
18.
Nucci, Carlo Alberto, et al.. (2004). Lightning-Induced Voltages on Overhead Distribution Lines: Theoretical and Experimental Investigation of Related Problems and their Impact on Power Quality. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 7 indexed citations
19.
Bernardi, M., A. Pigini, Gerhard Diendorfer, & Wolfgang Schulz. (2002). Long term experience on lightning acquisition in Italy and Austria and data application to the improvement of lightning performance. e+i Elektrotechnik und Informationstechnik. 119(12). 428–433. 5 indexed citations
20.
Borghetti, Alberto, Carlo Alberto Nucci, Mario Paolone, & M. Bernardi. (2000). Effect of the Lateral Distance Expression and of the Presence of Shielding Wires on the Evaluation of the Number of Lightning-Induced Voltages. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 340–345. 10 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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