Gianluca Gatto

2.7k citations
129 papers · 1.9k · 1 hit paper · h-index 22

Impact in

Papers in

Gianluca Gatto

115 papers receiving 1.8k citations

Gianluca Gatto's Hit Papers

Electrochemical Sensors and Their Applications: A Review 2022 · 506 citations
5060+1+2Years since publication100200300400500

Peers

Gianluca Gatto
Comparison fields: 5 of 143
  • Electrochemistry 139
  • Bioengineering 112
  • Electrical and Electronic Engineering 1.0k
  • Control and Systems Engineering 345
  • Automotive Engineering 120
Replace Hongmei Li with:
Hongmei Li China
Tiantian Liu China
Shuyu Wang China
Zhaoxia Yang China
Fang Liao China
Gaowei Zhang China
Hongqiu Zhu China
Yanjun Fang China
Sascha Beutel Germany
Gianluca Gatto relative to Hongmei Li China Hongmei Li's profile →
Citations per field
00.5×2.9×
Hongmei Li · 1×
Citations per year

Countries citing papers authored by Gianluca Gatto

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Gatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electrochemical Sensors and Their Applications: A Review
Hit paper breakdown →
2022506
2 2004120
3 202191
4 201983
5 202275
6 202360
7 201358
8 201256
9 200353
10 201341
11 202034
12 202131
13 202129
14 201428
15 202027
16 201827
17 202126
18 199826
19 202125
20 202322

About Gianluca Gatto

Gianluca Gatto is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Renewable Energy, Sustainability and the Environment and Biomedical Engineering, having authored 129 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (45 papers), Advanced DC-DC Converters (31 papers), Electric Motor Design and Analysis (23 papers), Microgrid Control and Optimization (21 papers), Sensorless Control of Electric Motors (21 papers), Silicon Carbide Semiconductor Technologies (15 papers), Advanced Battery Technologies Research (11 papers) and Photovoltaic System Optimization Techniques (10 papers). The work is most often cited by research in Electrochemistry (139 citations), Bioengineering (112 citations), Electrical and Electronic Engineering (1.0k citations), Control and Systems Engineering (345 citations) and Automotive Engineering (120 citations). Gianluca Gatto has collaborated with scholars based in Italy, India and Denmark. Frequent co-authors include Amit Kumar, Ignazio Marongiu, Brajesh Barse, Jaya Baranwal, Gabriela Broncová, Alfonso Damiano, Alessandro Serpi, Alessandro Pisano, A. Perfetto and Cristian Perra. Their work appears in journals such as Energies, International Journal of Biological Macromolecules, International Review of Electrical Engineering (IREE), Molecules and IEEE Transactions on Industrial Electronics.

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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