Andrea Mariscotti

3.0k total citations
180 papers, 2.3k citations indexed

About

Andrea Mariscotti is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Mechanical Engineering. According to data from OpenAlex, Andrea Mariscotti has authored 180 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Electrical and Electronic Engineering, 76 papers in Industrial and Manufacturing Engineering and 73 papers in Mechanical Engineering. Recurrent topics in Andrea Mariscotti's work include Railway Systems and Energy Efficiency (76 papers), Electrical Contact Performance and Analysis (46 papers) and Lightning and Electromagnetic Phenomena (41 papers). Andrea Mariscotti is often cited by papers focused on Railway Systems and Energy Efficiency (76 papers), Electrical Contact Performance and Analysis (46 papers) and Lightning and Electromagnetic Phenomena (41 papers). Andrea Mariscotti collaborates with scholars based in Italy, United States and Czechia. Andrea Mariscotti's co-authors include P. Pozzobon, Leonardo Sandrolini, A. Ogunsola, Domenico Giordano, Adel Tabakhpour Langerudy, Nicola Pasquino, P. Pinceti, Virginie Deniau, Antonio Delle Femine and Alessandro Florio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Industry Applications.

In The Last Decade

Andrea Mariscotti

162 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andrea Mariscotti 1.2k 1.2k 1.1k 388 371 180 2.3k
Leonardo Sandrolini 852 0.7× 161 0.1× 250 0.2× 134 0.3× 148 0.4× 108 1.3k
Sarah Rönnberg 2.6k 2.1× 157 0.1× 158 0.1× 936 2.4× 287 0.8× 176 2.8k
Mario Luiso 1.7k 1.4× 235 0.2× 433 0.4× 476 1.2× 60 0.2× 150 1.9k
Paolo Maggiore 261 0.2× 116 0.1× 447 0.4× 268 0.7× 62 0.2× 166 1.2k
Michael Bartoň 247 0.2× 314 0.3× 635 0.6× 100 0.3× 10 0.0× 68 1.4k
Peter Schegner 2.0k 1.7× 62 0.1× 109 0.1× 922 2.4× 196 0.5× 182 2.2k
Antonio Cataliotti 2.5k 2.1× 52 0.0× 285 0.3× 869 2.2× 67 0.2× 146 2.7k
Paolo Giangrande 2.7k 2.2× 45 0.0× 875 0.8× 1.2k 3.1× 62 0.2× 150 3.3k
Yuqiao Wang 236 0.2× 134 0.1× 460 0.4× 363 0.9× 31 0.1× 83 1.2k
Lijun Zhou 981 0.8× 137 0.1× 273 0.2× 303 0.8× 152 0.4× 155 1.4k

Countries citing papers authored by Andrea Mariscotti

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Mariscotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Mariscotti

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Mariscotti. A scholar is included among the top collaborators of Andrea Mariscotti 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 Andrea Mariscotti. Andrea Mariscotti 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.
Mariscotti, Andrea. (2024). Estimation of Railway Line Impedance at Low Frequency Using Onboard Measurements Only. Energies. 17(15). 3739–3739. 3 indexed citations
2.
Salles, Rafael S., et al.. (2024). Data-driven assessment of VI diagrams for inference on pantograph quantities waveform distortion in AC railways. Computers & Electrical Engineering. 120. 109730–109730. 1 indexed citations
3.
Zucca, M., Helko E. van den Brom, Luca Callegaro, et al.. (2024). MetSuperCap: Metrology for static and dynamic characterisation of supercapacitors. Measurement Sensors. 38. 101434–101434.
4.
Femine, Antonio Delle, et al.. (2024). Metrology for Electric Vehicle Charging Systems: An Overview of the European Research Project. CINECA IRIS Institutial Research Information System (University of Genoa). 118–123.
5.
Giordano, Domenico, Daniele Gallo, Jari Hällström, et al.. (2024). Metrology support for enhanced energy efficiency in DC transportation systems. University of Twente Research Information. 1–2. 1 indexed citations
6.
Mariscotti, Andrea. (2023). The Electrical Behaviour of Railway Pantograph Arcs. Energies. 16(3). 1465–1465. 9 indexed citations
7.
Sandrolini, Leonardo, et al.. (2022). Receiver–Coil Location Detection in a Dynamic Wireless Power Transfer System for Electric Vehicle Charging. Sensors. 22(6). 2317–2317. 19 indexed citations
8.
9.
Mariscotti, Andrea & Leonardo Sandrolini. (2021). Variability of EMI Measurement for Switched Mode Power Supplies EMI in the 2–1000 kHz Range. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 4 indexed citations
10.
Mariscotti, Andrea, et al.. (2020). Filter Transients onboard DC Rolling Stock and Exploitation for the Estimate of the Line Impedance. CINECA IRIS Institutional Research Information System (IRIS Istituto Nazionale di Ricerca Metrologica). 1–6. 9 indexed citations
11.
Mariscotti, Andrea, et al.. (2020). How Pantograph Electric Arcs affect Energy Efficiency in DC Railway Vehicles. CINECA IRIS Institutial Research Information System (University of Genoa). 1–5. 7 indexed citations
12.
Crotti, G., Antonio Delle Femine, Daniele Gallo, et al.. (2019). Pantograph-to-OHL Arc: Conducted Effects in DC Railway Supply System. IEEE Transactions on Instrumentation and Measurement. 68(10). 3861–3870. 30 indexed citations
13.
Mariscotti, Andrea & Leonardo Sandrolini. (2019). Techniques for the Analysis of Time-Domain Conducted Emissions of SMPS in Smart Grids. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 7 indexed citations
14.
Crotti, G., Domenico Giordano, Antonio Delle Femine, et al.. (2018). Pantograph-to-OHL Arc: Conducted Effects in DC Railway Supply System. CINECA IRIS Institutional Research Information System (IRIS Istituto Nazionale di Ricerca Metrologica). 1–6. 21 indexed citations
15.
Mariscotti, Andrea, et al.. (2014). Variability of pantograph impedance curves in DC traction systems and comparison with experimental results. PRZEGLĄD ELEKTROTECHNICZNY. 4 indexed citations
16.
Mariscotti, Andrea, et al.. (2013). Wide-Band and Narrow-Band Characterization of the Propagation Channel in Trains. International Review of Electrical Engineering (IREE). 8(5). 1467–1472. 2 indexed citations
17.
Mariscotti, Andrea & A. Ogunsola. (2012). Electromagnetic Compatibility in Railways – Analysis and Management. CINECA IRIS Institutial Research Information System (University of Genoa). 36 indexed citations
18.
Mariscotti, Andrea, et al.. (2010). STATCOM with SMES can support power quality and bus fast transfer. International Journal of Power and Energy Systems. 43. 1094–1098.
19.
Mariscotti, Andrea, et al.. (2010). Modeling the magnetic field emissions from a third rail system. 1–5. 3 indexed citations
20.
Mariscotti, Andrea, et al.. (1998). Statistical And Probabilistic Methods Applied To Dc Traction System Supply. WIT transactions on the built environment. 37. 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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