Vittorio Cecconi

83 total papers · 905 total citations
32 papers, 540 citations indexed

About

Vittorio Cecconi is a scholar working on Electrical and Electronic Engineering, Acoustics and Ultrasonics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Vittorio Cecconi has authored 32 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 10 papers in Acoustics and Ultrasonics and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Vittorio Cecconi's work include Terahertz technology and applications (13 papers), Random lasers and scattering media (10 papers) and Electric Motor Design and Analysis (8 papers). Vittorio Cecconi is often cited by papers focused on Terahertz technology and applications (13 papers), Random lasers and scattering media (10 papers) and Electric Motor Design and Analysis (8 papers). Vittorio Cecconi collaborates with scholars based in Italy, United Kingdom and Brazil. Vittorio Cecconi's co-authors include Marco Peccianti, Alessia Pasquazi, Juan Sebastian Totero Gongora, Luke Peters, Luana Olivieri, Antonio Cutrona, Antonino Oscar Di Tommaso, Jacob Tunesi, M. Caruso and Ronilson Rocha and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Vittorio Cecconi

31 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
Vittorio Cecconi	299	228	155	108	75	32	540
Jietao Liu	144 0.5×	182 0.8×	123 0.8×	103 1.0×	219 2.9×	52	478
Jung-Ho Moon	120 0.4×	86 0.4×	74 0.5×	29 0.3×	131 1.7×	42	545
Nicolás Müller	275 0.9×	68 0.3×	207 1.3×	14 0.1×	113 1.5×	45	584
Zheng-Ping Li	80 0.3×	108 0.5×	119 0.8×	33 0.3×	177 2.4×	37	595
Shuo Zhu	59 0.2×	228 1.0×	47 0.3×	122 1.1×	149 2.0×	54	518
Rong‐De Lu	121 0.4×	41 0.2×	448 2.9×	69 0.6×	303 4.0×	21	597
Bhargab Das	194 0.6×	63 0.3×	244 1.6×	152 1.4×	108 1.4×	51	520
Jun Ma	126 0.4×	28 0.1×	354 2.3×	127 1.2×	132 1.8×	58	590
Yue Lu	223 0.7×	14 0.1×	34 0.2×	117 1.1×	56 0.7×	49	566
Siwei Li	309 1.0×	10 0.0×	68 0.4×	57 0.5×	39 0.5×	51	593

Countries citing papers authored by Vittorio Cecconi

Since Specialization

Citations

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

Fields of papers citing papers by Vittorio Cecconi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vittorio Cecconi

This figure shows the co-authorship network connecting the top 25 collaborators of Vittorio Cecconi. A scholar is included among the top collaborators of Vittorio Cecconi 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 Vittorio Cecconi. Vittorio Cecconi 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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