Grazia Todeschini

48 papers receiving 569 citations

Peers

Grazia Todeschini
Comparison fields: 5 of 63
  • Energy Engineering and Power Technology 62
  • Control and Systems Engineering 267
  • Electrical and Electronic Engineering 422
  • Automotive Engineering 54
  • Aerospace Engineering 85
Replace Muhammad Asghar Saqib with:
Muhammad Asghar Saqib Pakistan
Laís de Oliveira-Assís Brazil
Emanuel P. P. Soares-Ramos Brazil
Hadi Nabipour Afrouzi Malaysia
Rajib Kumar Panigrahi India
Saad Sayeef Australia
Bernard Multon France
Om Prakash Rahi Bangladesh
Gundavarapu V. Nagesh Kumar India
Valeria Castellucci Sweden
Grazia Todeschini relative to Muhammad Asghar Saqib Pakistan Muhammad Asghar Saqib's profile →
Citations per field
00.5×1.5×1.9×
Muhammad Asghar Saqib · 1×
Citations per year

Countries citing papers authored by Grazia Todeschini

Since Specialization
Citations

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

Fields of papers citing papers by Grazia Todeschini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 202055
3 200843
4 201037
5 201935
6 201825
7 201824
8 202123
9 202219
10 201917
11 202117
12 201017
13 201816
14 201814
15 201713
16 202211
17 201811
18 202110
19 20079
20 20178

About Grazia Todeschini

Grazia Todeschini is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Automotive Engineering and Aerospace Engineering, having authored 54 papers that have together received 588 indexed citations. Recurring topics across this work include Power Quality and Harmonics (16 papers), Microgrid Control and Optimization (16 papers), Optimal Power Flow Distribution (11 papers), Wind Turbine Control Systems (6 papers), Wind Energy Research and Development (5 papers), Power System Reliability and Maintenance (5 papers), Advanced Battery Technologies Research (4 papers) and Lightning and Electromagnetic Phenomena (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (62 citations), Control and Systems Engineering (267 citations), Electrical and Electronic Engineering (422 citations), Automotive Engineering (54 citations) and Aerospace Engineering (85 citations). Grazia Todeschini has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Surya Santoso, Alexander Eigeles Emanuel, Gabrio Superti-Furga, Quan Nguyen, Cinzia Giannetti, Keng‐Weng Lao, Peter Robins, Ian Masters, Matthew Lewis and Michael Togneri. Their work appears in journals such as IEEE Transactions on Power Delivery, Energies, IEEE Transactions on Energy Conversion, Energy and IEEE Transactions on Power Systems.

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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