Valentina Cecchi

113 total papers · 1.0k total citations
95 papers, 689 citations indexed

About

Valentina Cecchi is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Astronomy and Astrophysics. According to data from OpenAlex, Valentina Cecchi has authored 95 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Control and Systems Engineering, 59 papers in Electrical and Electronic Engineering and 24 papers in Astronomy and Astrophysics. Recurrent topics in Valentina Cecchi's work include Optimal Power Flow Distribution (29 papers), Thermal Analysis in Power Transmission (28 papers) and Lightning and Electromagnetic Phenomena (24 papers). Valentina Cecchi is often cited by papers focused on Optimal Power Flow Distribution (29 papers), Thermal Analysis in Power Transmission (28 papers) and Lightning and Electromagnetic Phenomena (24 papers). Valentina Cecchi collaborates with scholars based in United States, Italy and Iran. Valentina Cecchi's co-authors include Karen Miu, Aravind Kailas, C.O. Nwankpa, Aaron St. Leger, Julio Romero Agüero, Saeed Mohajeryami, Robert W. Cox, J.H.R. Enslin, Sukumar Kamalasadan and Fei Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Valentina Cecchi

83 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
Valentina Cecchi 472 451 118 77 54 95 689
Jako Kilter 653 1.4× 362 0.8× 46 0.4× 39 0.5× 16 0.3× 92 764
Eyad A. Feilat 422 0.9× 305 0.7× 53 0.4× 75 1.0× 75 1.4× 54 598
M. Nagrial 544 1.2× 380 0.8× 80 0.7× 22 0.3× 30 0.6× 146 700
Yang Liu 498 1.1× 158 0.4× 25 0.2× 77 1.0× 26 0.5× 67 617
Loai Nasrat 506 1.1× 308 0.7× 24 0.2× 105 1.4× 11 0.2× 107 676
Ghulam Amjad Hussain 599 1.3× 189 0.4× 69 0.6× 387 5.0× 9 0.2× 75 759
Daniel Van Dommelen 627 1.3× 285 0.6× 83 0.7× 66 0.9× 12 0.2× 51 743
Ivo Palu 615 1.3× 291 0.6× 21 0.2× 112 1.5× 30 0.6× 99 752
Swee Peng Ang 553 1.2× 223 0.5× 79 0.7× 148 1.9× 16 0.3× 67 696
José Antonio Rosendo Macías 473 1.0× 260 0.6× 71 0.6× 40 0.5× 11 0.2× 48 598

Countries citing papers authored by Valentina Cecchi

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Cecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Cecchi

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Cecchi. A scholar is included among the top collaborators of Valentina Cecchi 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 Valentina Cecchi. Valentina Cecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026