Pietro Tedeschi

46 total papers · 812 total citations
32 papers, 540 citations indexed

About

Pietro Tedeschi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Pietro Tedeschi has authored 32 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Pietro Tedeschi's work include UAV Applications and Optimization (8 papers), Security in Wireless Sensor Networks (5 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). Pietro Tedeschi is often cited by papers focused on UAV Applications and Optimization (8 papers), Security in Wireless Sensor Networks (5 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). Pietro Tedeschi collaborates with scholars based in Qatar, United Arab Emirates and Netherlands. Pietro Tedeschi's co-authors include Roberto Di Pietro, Savio Sciancalepore, Gabriele Oligeri, Maurantonio Caprolu, Simone Raponi, Spiridon Bakiras, Pietro Boccadoro, Eduardo K. Viegas, Altair O. Santin and Ali Ismail Awad and has published in prestigious journals such as IEEE Communications Magazine, IEEE Access and Sensors.

In The Last Decade

Pietro Tedeschi

31 papers receiving 513 citations

Hit Papers

Vessels Cybersecurity: Is... 2020 2026 2022 2024 2020 20 40 60

Author Peers

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

Author Last Decade Papers Cites
Pietro Tedeschi 260 147 139 128 110 32 540
Dongmin Choi 177 0.7× 116 0.8× 276 2.0× 88 0.7× 87 0.8× 40 512
Abubakar Bala 138 0.5× 108 0.7× 119 0.9× 122 1.0× 89 0.8× 22 449
Yanpeng Cui 297 1.1× 140 1.0× 178 1.3× 122 1.0× 70 0.6× 45 518
Sarang Thombre 151 0.6× 224 1.5× 191 1.4× 114 0.9× 44 0.4× 32 599
Yingyou Wen 378 1.5× 59 0.4× 255 1.8× 144 1.1× 72 0.7× 68 614
Guangquan Xu 272 1.0× 51 0.3× 71 0.5× 111 0.9× 137 1.2× 22 456
Eirini Karapistoli 383 1.5× 62 0.4× 282 2.0× 90 0.7× 68 0.6× 37 595
Joaquim Bastos 317 1.2× 77 0.5× 170 1.2× 109 0.9× 185 1.7× 36 551
Xiaoguang Niu 146 0.6× 49 0.3× 175 1.3× 142 1.1× 40 0.4× 44 480
Azlan Awang 404 1.6× 99 0.7× 312 2.2× 60 0.5× 57 0.5× 52 606

Countries citing papers authored by Pietro Tedeschi

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Tedeschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Tedeschi

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