Roberto Ferrero

1.4k citations
65 papers · 1.0k indexed · 1 hit paper · h-index 18

Roberto Ferrero

63 papers receiving 1.0k citations

Hit Papers

Deep Transfer Learning for Bearing Fault Diagnosis: A Sys...288202320262024202550100150200250

Peers

Roberto Ferrero
Comparison fields: 5 of 80
  • Automotive Engineering 218
  • Control and Systems Engineering 402
  • Electrical and Electronic Engineering 565
  • Bioengineering 49
  • Renewable Energy, Sustainability and the Environment 105
Replace Frank Willems with:
Frank Willems Netherlands
G. Uma India
Manel Gasulla Spain
Mickaël Hilairet France
Ranjan Vepa United Kingdom
Jae‐Hyung Kim South Korea
Xiaotong Wang China
Daniel J. Pagano Brazil
Leonardo Sandrolini Italy
Kai Liu China
Roberto Ferrero relative to Frank Willems Netherlands Frank Willems's profile →
Citations per field
00.5×3.5×
Frank Willems · 1×
Citations per year

Countries citing papers authored by Roberto Ferrero

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Ferrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Roberto Ferrero, 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 Roberto Ferrero Line = papers co-authored together Roberto Ferrero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20202
4 20190
5 201923
6 201910
7 201911
8 201919
9 20177
10 20172
11 20151
12 20141
13 201310
14 20136
15 201231
16 20113
17 20112
18 20111
19 20102
20 201013

About Roberto Ferrero

Roberto Ferrero is a scholar working on Automotive Engineering, Bioengineering, Electrical and Electronic Engineering, Medical Laboratory Technology and Control and Systems Engineering, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (17 papers), Advanced Battery Technologies Research (14 papers), Power System Optimization and Stability (12 papers), Electromagnetic Launch and Propulsion Technology (10 papers), Electrocatalysts for Energy Conversion (9 papers), Power Systems Fault Detection (9 papers), Magnetic Field Sensors Techniques (8 papers) and Analytical Chemistry and Sensors (7 papers). The work is most often cited by research in Automotive Engineering (218 citations), Control and Systems Engineering (402 citations), Electrical and Electronic Engineering (565 citations), Bioengineering (49 citations) and Renewable Energy, Sustainability and the Environment (105 citations). Roberto Ferrero has collaborated with scholars based in Italy, United Kingdom and China. Frequent co-authors include Sergio Toscani, Rui Yang, Xiaohan Chen, Zidong Wang, Mengjie Huang, Yihao Xue, Paolo Attilio Pegoraro, Mirko Marracci, Paola Gallo Stampino and Giovanni Dotelli. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Fusion Engineering and Design, Industrial & Engineering Chemistry Research, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Hydrogen Energy.

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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