Marco Cagnetti

43 total papers · 754 total citations
38 papers, 594 citations indexed

About

Marco Cagnetti is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Marco Cagnetti has authored 38 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 10 papers in Computer Networks and Communications and 7 papers in Control and Systems Engineering. Recurrent topics in Marco Cagnetti's work include IoT-based Smart Home Systems (5 papers), Underwater Vehicles and Communication Systems (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Marco Cagnetti is often cited by papers focused on IoT-based Smart Home Systems (5 papers), Underwater Vehicles and Communication Systems (5 papers) and Energy Efficient Wireless Sensor Networks (5 papers). Marco Cagnetti collaborates with scholars based in Italy, Serbia and United States. Marco Cagnetti's co-authors include Fabio Leccese, Enrico Petritoli, A. Pecora, Luca Maiolo, Lorenzo Cozzella, Silvano Mignardi, Vincenzo Ferrini, Caterina De Vito, Maurizio Caciotta and Rada Djurovic-Pejcev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Electronics.

In The Last Decade

Marco Cagnetti

36 papers receiving 578 citations

Author Peers

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

Author						Papers	Cites
Marco Cagnetti	219	138	86	79	71	38	594
Chankil Lee	349 1.6×	107 0.8×	72 0.8×	37 0.5×	116 1.6×	26	694
Xuerong Cui	281 1.3×	130 0.9×	96 1.1×	42 0.5×	41 0.6×	126	643
Ioan Silea	106 0.5×	72 0.5×	142 1.7×	77 1.0×	43 0.6×	39	644
Giacomo Peruzzi	392 1.8×	237 1.7×	72 0.8×	26 0.3×	85 1.2×	49	695
Amir Rikhtehgar Ghiasi	113 0.5×	118 0.9×	39 0.5×	249 3.2×	25 0.4×	45	601
Juan Suardíaz Muro	170 0.8×	106 0.8×	61 0.7×	53 0.7×	54 0.8×	38	591
Junguo Zhang	140 0.6×	158 1.1×	30 0.3×	30 0.4×	95 1.3×	62	670
Enrico Petritoli	133 0.6×	76 0.6×	175 2.0×	122 1.5×	28 0.4×	51	669
Chia-Pang Chen	225 1.0×	209 1.5×	56 0.7×	78 1.0×	24 0.3×	28	571
Susu Xu	107 0.5×	54 0.4×	39 0.5×	26 0.3×	50 0.7×	53	696

Countries citing papers authored by Marco Cagnetti

Since Specialization

Citations

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

Fields of papers citing papers by Marco Cagnetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Cagnetti

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