Marco Pasetti

1.7k citations
117 papers · 1.3k · h-index 19

Impact in

Papers in

Marco Pasetti

111 papers receiving 1.3k citations

Peers

Marco Pasetti
Comparison fields: 5 of 107
  • Automotive Engineering 188
  • Electrical and Electronic Engineering 800
  • Computer Networks and Communications 302
  • Control and Systems Engineering 291
  • Nuclear Energy and Engineering 5
Replace Young-Chon Kim with:
Young-Chon Kim South Korea
Adnan Al‐Anbuky New Zealand
Rajkumar Singh Rathore United Kingdom
Boon‐Hee Soong Singapore
Muhammad Adnan Pakistan
R. Raja Singh India
Yinghua Han China
Jiacheng Chen China
Wen-Tai Li Singapore
José‐Luis Casteleiro‐Roca Spain
Marco Pasetti relative to Young-Chon Kim South Korea Young-Chon Kim's profile →
Citations per field
00.5×1.5×2×2.4×
Young-Chon Kim · 1×
Citations per year

Countries citing papers authored by Marco Pasetti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Pasetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Pasetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marco Pasetti Line = papers co-authored together Marco Pasetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018110
2 201492
3 202174
4 201965
5 201856
6 201950
7 201746
8 202041
9 202136
10 202135
11 201934
12 202230
13 202126
14 201926
15 202425
16 201824
17 201821
18 202020
19 201819
20 202018

About Marco Pasetti

Marco Pasetti is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Automotive Engineering, Control and Systems Engineering and Biomedical Engineering, having authored 117 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electric Vehicles and Infrastructure (30 papers), Advanced Battery Technologies Research (24 papers), IoT Networks and Protocols (22 papers), Smart Grid Energy Management (22 papers), Smart Grid Security and Resilience (18 papers), Energy Harvesting in Wireless Networks (15 papers), IoT and Edge/Fog Computing (14 papers) and Energy Load and Power Forecasting (12 papers). The work is most often cited by research in Automotive Engineering (188 citations), Electrical and Electronic Engineering (800 citations), Computer Networks and Communications (302 citations), Control and Systems Engineering (291 citations) and Nuclear Energy and Engineering (5 citations). Marco Pasetti has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Stefano Rinaldi, Paolo Ferrari, Emiliano Sisinni, Alessandra Flammini, Simone Zanoni, Alessandro Depari, Daniele Manerba, Michela Longo, Federica Foiadelli and Beatrice Marchi. Their work appears in journals such as Energies, IEEE Transactions on Instrumentation and Measurement, IEEE Access, Sustainable Energy Grids and Networks and Applied Sciences.

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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